Machine Learning Engineer Jobs

We are looking for a Software Developer to join our team in Hyderabad. This is a full-time position suitable for candidates with 0 to 6 years of experience. The ideal candidate will possess a B.E. degree and is enthusiastic about building and improving software solutions.Key Responsibilities:- Software Development: Design, develop, and maintain software applications to meet user needs. This involves writing high-quality code and following best practices in software development.- Collaboration: Work closely with other team members, including designers and project managers, to understand requirements and deliver effective solutions. Clear communication is essential for successful project completion.- Testing and Debugging: Conduct tests to identify and fix issues and ensure the software operates correctly. This includes writing and performing unit tests to validate functionality.- Documentation: Create and maintain comprehensive documentation for the software created, to support future development and assist other team members in understanding the project.Required Skills and Expectations:- A degree in B.E. is essential.- Candidates should have a strong understanding of programming languages such as Java, C#, or Python.- Familiarity with software development methodologies like Agile or Scrum is preferred.- Problem-solving skills and attention to detail are crucial for improving software functionality.- A willingness to learn and adapt in a fast-paced environment is necessary, as the technology landscape is constantly evolving.

An AI/ML Engineer designs, builds, and deploys artificial intelligence and machine learning models into production systems. Key Responsibilities Model Development: Build, train, and optimize machine learning, deep learning, or generative AI models .Data Pipelines: Collect, clean, and process large datasets using data engineering tools. Production Deployment: Integrate AI models into scalable software applications, APIs, or cloud platforms. System Monitoring: Track model performance, latency, accuracy, and data drift after launch.

AI/ML Engineer - HiringJob Assist is looking for motivated AI/ML Engineers to join our technology team. Freshers and candidates with up to 5 years of experience are welcome to apply.Key Skills: Python, Machine Learning, AI/LLMs, Data Processing, APIs, TensorFlow/PyTorch, Git/GitHub and basic model development.Interested? Apply here https://docs.google.com/forms/d/e/1FAIpQLSepogJzUbMYGrShwag4RyvkiHd1_aKenW6j2nnSe-ymz6AqjA/viewform?usp=dialogImportant: If you are interested, you must complete the Google Form. Your registration will not be considered complete without the form. Candidates who do not submit the form will not be contacted or considered for the selection process.Submitting the form does not guarantee selection. Shortlisted candidates will be contacted by our team.

We are looking for a dedicated Junior Software Developer to join our team in Chennai. In this role, you will have the opportunity to work with technologies such as Java, Python, artificial intelligence, robotics, machine learning, web development, and quality assurance.Key responsibilities will include developing software applications, testing software solutions, and debugging software issues. You will collaborate with senior developers to understand project requirements and implement effective solutions. Additionally, you will participate in code reviews and contribute to documentation for software projects. To be successful in this role, candidates should possess a degree in computer science or a related field, along with knowledge of programming languages such as Java and Python. Familiarity with AI, robotic systems, machine learning, and web development processes is crucial. Strong problem-solving skills and a willingness to learn new technologies are essential.This full-time position requires you to work from the office, with standard working hours and days. You will need a laptop and may be responsible for certain maintenance tasks related to your development work. This is an excellent opportunity for recent graduates or individuals with limited experience looking to start a career in software development. If you are passionate about technology and seek to develop your skills in a collaborative environment, we encourage you to apply.

We are looking for a Senior AI Engineer based in Chennai with 3 to 8 years of experience. As an AI Engineer, you will play a crucial role in developing and implementing artificial intelligence solutions to enhance our projects.Key Responsibilities:- Design and Develop AI Models: You will create, test, and implement machine learning models tailored to meet specific project requirements, ensuring they function efficiently.- Data Analysis: Analyzing large datasets to extract insights and patterns will be a key part of your job. This helps in refining models and driving project success.- Collaboration: Working closely with cross-functional teams such as data scientists and software engineers will be essential to integrate AI solutions effectively.- Performance Evaluation: Regularly assessing the performance of AI models and making necessary adjustments to improve efficiency and accuracy is expected.- Documentation: You will be responsible for documenting processes, models, and methodologies to ensure knowledge sharing and continuity within the team.Required Skills and Expectations:Candidates should hold a diploma and have practical experience in artificial intelligence and machine learning. Strong programming skills in languages like Python or R are crucial. Candidates should be comfortable working in an office setting and be able to communicate effectively with team members. A proactive approach to problem-solving and the ability to adapt to new technologies will help you succeed in this role. Familiarity with AI frameworks and tools is highly desirable.

ML Engineer**Experience:** 6-8 Years**Engagement:** C2C**Location:**Bangalore## Role OverviewWe are looking for an experienced **ML Engineer** with strong expertise in **Python, Machine Learning, Generative AI, Agentic AI, and Microsoft Azure**. The ideal candidate will have hands-on experience building and deploying machine learning models and AI agents, developing scalable ML pipelines, and orchestrating agentic workflows using Azure Data and AI platforms.## Key Responsibilities* Develop and maintain scalable **machine learning pipelines** and integrate them with **Azure ML**.* Design and implement **agentic AI workflows** and intelligent AI agents using LLMs, planning, and decision-making frameworks.* Build, deploy, and optimize machine learning models using **TensorFlow, PyTorch**, or similar frameworks.* Design secure, scalable, and production-ready AI agent architectures for cross-platform applications.* Work extensively with **Microsoft Azure**, including **Azure Databricks, Microsoft Fabric, and Microsoft AI Foundry**.* Build and experiment with **Generative AI models, LLMs, and agentic workflows**.* Implement AI agent **safety, guardrails, evaluation, and monitoring mechanisms**.* Improve agent performance through feedback loops, reinforcement learning, and user interaction analysis.* Collaborate across backend, ML pipeline, and frontend teams to deliver end-to-end AI solutions.* Support deployment architecture, model serving, monitoring, and productionization of AI systems.* Conduct research and performance evaluation to improve agent conversation, decision-making, adaptability, and reliability.* Rapidly prototype and iterate on AI solutions in a startup-style environment.* Collaborate with senior engineers and researchers to deliver production-grade AI systems.## Required Qualifications* 6-8 years of experience in **Machine Learning / AI Engineering**.* Strong programming skills in **Python**.* Hands-on experience with **TensorFlow, PyTorch**, or equivalent ML frameworks.* Proven experience developing and deploying **machine learning models and AI agents**.* Strong hands-on experience with **Generative AI, LLMs, and Agentic AI**.* Strong expertise in **Microsoft Azure** and Azure AI/Data platforms.* Experience with **Azure ML, Azure Databricks, Microsoft Fabric, and Microsoft AI Foundry**.* Experience with **ML pipelines, deployment architecture, and production AI systems**.* Understanding of AI agent orchestration, evaluation, safety, and guardrails.* Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.## Good to Have* Experience with **reinforcement learning and agent feedback mechanisms**.* Experience building AI solutions for **security or enterprise applications**.* Knowledge of LLM evaluation, prompt engineering, RAG, and model optimization.* Experience working across backend services, APIs, and frontend integrations.## Key Skills**Must Have:** Python Azure ML GenAI/LLM Agentic AI TensorFlow/PyTorch Azure Databricks/Fabric/AI Foundry ML Pipelines AI Agent Deployment**Good to Have:** Reinforcement Learning RAG Prompt Engineering AI Safety & Guardrails LLM Evaluation

Key ResponsibilitiesDesign, develop, and implement machine learning models and AI solutions.Build and optimize data pipelines for model training, validation, and deployment.Analyze large datasets to identify patterns, trends, and business insights.Develop, test, and deploy predictive, classification, recommendation, and generative AI models.Monitor model performance and retrain models as needed to maintain accuracy.Collaborate with cross-functional teams to integrate AI solutions into products and business processes.Apply best practices for data quality, model governance, security, and scalability.Research and evaluate emerging AI/ML technologies, tools, and frameworks.Document model architecture, development processes, and technical specifications.Ensure AI solutions comply with ethical, legal, and organizational guidelines.

# Job Description - Graduate Mechanical EngineerJob Title: Graduate Mechanical EngineerDepartment: Engineering / ProductionQualification: B.E. / B.Tech / Diploma in Mechanical EngineeringExperience: Fresher / 0-2 YearsLocation: [Company Location]Employment Type: Full-Time## Job SummaryWe are looking for a motivated Graduate Mechanical Engineer to join our Engineering/Production team. The candidate will support manufacturing, production planning, machine operations, quality control, drawing interpretation, and process improvement activities.## Key Responsibilities* Read and understand mechanical drawings, dimensions, and specifications.* Support production and manufacturing activities.* Coordinate with Production, Quality, Purchase, and Maintenance teams.* Monitor production processes and ensure work is carried out as per specifications.* Assist in preparing production reports, inspection reports, and other technical documents.* Perform basic calculations related to dimensions, materials, weight, and production requirements.* Assist in troubleshooting mechanical and production-related problems.* Ensure proper use of measuring instruments such as Vernier Caliper, Micrometer, Height Gauge, etc.* Follow company safety procedures and quality standards.* Assist in maintaining machine, tooling, and production records.* Participate in process improvement and productivity enhancement activities.* Support preventive maintenance and basic machine-related activities when required.## Required Skills* Good knowledge of Mechanical Engineering fundamentals.* Knowledge of Engineering Drawing and GD&T is an advantage.* Basic knowledge of manufacturing processes such as CNC, VMC, machining, fabrication, etc.* Knowledge of measuring instruments and inspection methods.* Basic knowledge of MS Excel and MS Office.* Good analytical and problem-solving skills.* Good communication and teamwork skills.* Willingness to learn and work in a manufacturing environment.## Preferred Knowledge* AutoCAD / SolidWorks or other CAD software.* CNC/VMC machining knowledge.* Production planning and control.* Quality inspection and documentation.* Basic knowledge of ISO / quality systems.## Eligibility* B.E. / B.Tech in Mechanical Engineering preferred.* Freshers are welcome to apply.* Candidates with 0-2 years of relevant manufacturing experience may also apply.## Key Performance Areas* Production efficiency* Product quality* Technical documentation* Timely completion of assigned tasks* Process improvement* Safety compliance* Team coordination

ROLE OVERVIEWYou will be responsible for building, maintaining and productionizing the backend infrastructure of VAMS ATLAS.The platform must support:* Deterministic scientific computation* Reproducible pipeline execution* Immutable/versioned reference artifacts* PostgreSQL-backed registries* Asynchronous computational workloads* API services* Audit trails and provenance* Evidence and entitlement gating* Report generation contracts* Cloud object storage* Production observability* Secure integration with frontend applicationsCORE RESPONSIBILITIES1. Backend API DevelopmentDevelop and maintain backend services and APIs supporting the VAMS BIOME ecosystem.2. PostgreSQL & Data ArchitectureOwn and extend the ATLAS PostgreSQL data layer. The engineer will work with registries covering areas such as:* samples* sequencing runs* analysis runs* score definitions* panels* conditions* reference cohorts* reference artifact sets* pipeline/version metadata* QC flags* confidence penalties* report outputs* audit recordsScientific outputs must remain traceable to the exact configuration and artifacts from which they were generated.3. Reference Artifact RegistryImplement and maintain the VAMS ATLAS Reference Artifact Registry.4. Deterministic Reference SelectionImplement deterministic selection of reference cohorts/artifacts based on analysis context.5. Analysis Run OrchestrationBuild and maintain the execution layer connecting backend services with computational/bioinformatics pipelines.The engineer is not expected to invent microbiome algorithms.Bioinformatics and scientific teams define biological processing and interpretation logic.The backend engineer makes these pipelines reliable, deterministic, scalable and auditable.6. Two-Mode Execution ArchitectureThe platform maintains strict separation on Cohort Build ModeUsed offline to construct and register approved reference artifacts.7. Auditability & ProvenanceEvery ATLAS run must generate sufficient provenance to reconstruct the analysis.Where appropriate, computational outputs should have integrity hashes.A historical report should be traceable back to its computational inputs and configuration.8. Scientific Governance EnforcementThe backend is responsible for enforcing scientific governance supplied by the scientific/Founders Office configuration.9. Reporting BackendDevelop structured report objects by:* VAMS ATLAS web applications* downloadable reports* clinician-facing interfaces* future mobile applications* analytics and internal systems10. Cloud & InfrastructureHelp operate and evolve the cloud execution architecture.Expected areas include:* AWS* S3/object storage* containerized workloads* Docker* Asynchronous jobs/queues* Worker infrastructure* CI/CD* Environment management* Secrets management* Log/ Monitor* Health checksExperience with one or more of the following is valuable:* AWS Batch* ECS/Fargate* Step Functions* Lambda* SQS* EventBridge* CloudWatchEquivalent production cloud experience is acceptable.11. Security & Production EngineeringImplement secure engineering practices across the backend.Experience working with health, genomic or other sensitive datasets is advantageous.REQUIRED TECHNICAL SKILLSCandidates should have strong practical experience with most of the following:Backend* Python* FastAPI or comparable modern Python API framework* Pydantic / schema validation* REST API design* asynchronous/background processingDatabase* PostgreSQL* SQL* relational schema design* migrations* constraints and indexes* transactional systems* JSON/JSONBInfrastructure* Docker* Linux* Git / GitHub* CI/CD* AWS or equivalent cloud infrastructure* object storage such as S3* environment and secrets managementEngineering* Automated testing* API testing* Integration testing* Structured logging* Exception handling* Idempotent operations* Versioning* Reproducible executionSTRONGLY PREFERRED EXPERIENCECandidates with experience in any of the following will be particularly valuable:* Bioinformatics* Genomics* Microbiome data* Scientific computing* Health-tech* Clinical software* Laboratory data systems* Workflow orchestration* Data engineering* ML/data pipelines* Reproducible computational pipelinesFamiliarity with concepts such as FASTQ, sequencing pipelines, reference databases or computational provenance is advantageous but not mandatory.Important Role BoundaryThis position owns engineering implementation, not independent scientific decision-making.The Backend / Platform Engineer should not independently:* Invent microbiome scoring formulas* Modify biological thresholds* Change evidence tiers* Determine whether datasets are scientifically valid* Redefine condition mappings* Reinterpret microbiome biology* Modify scientific recommendationsThose decisions are supplied through governed scientific specifications.The engineers responsibility is to ensure those specifications are implemented correctly, deterministically, securely and audibly.What Success Looks LikeWithin the first few months, the successful engineer should be able to demonstrate that:1. ATLAS backend services can reliably execute production analysis workflows.2. Every analysis run is versioned and auditable.3. Historical analyses can identify the exact reference artifacts used.4. Reference artifacts cannot be accidentally modified by production user workflows.5. Scientific gating is enforced server-side.6. Backend APIs expose stable contracts to frontend applications.7. Failed computational jobs can be diagnosed and recovered safely.8. Automated tests cover critical backend and governance rules.9. Production services have appropriate logging, monitoring and health checks.10. The platform can scale from Phase-1 operations toward substantially larger sample volumes without architectural replacement.Candidate ProfileWe are particularly interested in engineers who enjoy building systems where correctness matters more than simply shipping endpoints.You may be a good fit if you:* Think carefully about system boundaries* Understand database integrity* Prefer deterministic systems over hidden behavior* Write testable code* Document architectural decisions* Are comfortable reading technical/scientific specifications* Can work independently* Can challenge ambiguous requirements constructively* Understand that scientific software requires stronger provenance than ordinary consumer applicationsMinimum Qualifications* Bachelors degree in Computer Science, Software Engineering, Information Technology or related discipline, or equivalent demonstrated engineering experience* Approximately 3+ years of professional backend/software engineering experience* Strong Python skills* Strong PostgreSQL/SQL skills* Experience building production APIs* Experience with Docker and Git* Experience deploying or operating cloud-based systems* Good understanding of software testing and production debuggingPreferred Qualifications* 4-6+ years backend/platform experience* FastAPI production experience* AWS architecture experience* Workflow/orchestration experience* Bioinformatics or computational biology exposure* Experience handling sensitive health/scientific data* Experience building reproducible data-processing systems* Infrastructure-as-code experience* Strong automated testing practices* Experience with observability and production incident debuggingWHAT TO SUBMITInterested candidates should submit the ff:* Resume/CV* GitHub profile or examples of previous technical work where available* Brief description of a backend/platform system they personally designed or substantially implemented* Technologies used* Their specific contribution to the architectureShortlisted candidates will complete a technical discussion and practical architecture/coding assessment focused on backend engineering, PostgreSQL, APIs, deterministic processing and production system design.

We are seeking a Machine Learning Engineer to join our team in Delhi. This role is ideal for individuals with 0 to 2 years of experience who are eager to develop their skills in a full-time, office-based environment.Key Responsibilities:- Develop Machine Learning Models: Design, implement, and test machine learning algorithms to address business challenges and improve processes. You will work with data to create models that can predict outcomes or automate tasks.- Data Preprocessing: Clean and prepare raw data for analysis. This involves transforming data into a usable format which is essential for training effective machine learning models.- Model Evaluation: Assess the performance of machine learning models using various metrics. You will analyze results to ensure models meet expected accuracy and performance standards.- Collaboration with Teams: Work alongside data scientists, software engineers, and business stakeholders to understand project requirements and deliver tailored solutions.- Stay Updated on Trends: Keep up with the latest advancements in machine learning technology and methods. Continuous learning is crucial for applying innovative approaches to your projects.Required Skills and Expectations:- A degree in Computer Science, Mathematics, or a related field, with a strong understanding of algorithms and data structures.- Basic knowledge of machine learning frameworks and libraries such as TensorFlow, PyTorch, or Scikit-learn.- Familiarity with programming languages like Python or R, which are commonly used for data manipulation and model development.- Strong analytical skills, attention to detail, and the ability to work effectively in a team environment. Open to feedback and eager to learn from more experienced colleagues is essential for growth in this role.

AI/ML Engineer - Full-Time (Remote US / New York, NY)LockedIn AI is hiring a production-minded AI/ML Engineer to design, build, and scale the intelligence systems powering our real-time AI copilot used by over 1M+ users worldwide.We are building the most advanced AI interview and meeting assistance platform, and this role sits at the core of our machine learning infrastructure. You will work across the full ML lifecycle-from data and model training to deployment, monitoring, and optimization in production environments.Role OverviewAs an AI/ML Engineer, you will own the end-to-end development of ML systems powering LockedIn AIs real-time assistant. This includes:Building and fine-tuning LLMs, NLP models, and speech systemsDesigning low-latency inference pipelines for real-time AI responsesDeveloping RAG (Retrieval-Augmented Generation) systemsCreating evaluation frameworks for continuous model quality improvementDeploying scalable ML services in production environmentsThis is a full-stack ML role where research meets real-world product engineering.Key Responsibilities1. Model Development & TrainingDesign and train ML models including LLMs, NLP systems, and speech-to-text modelsApply fine-tuning techniques such as LoRA, QLoRA, RLHF, and DPOBuild data pipelines for cleaning, labeling, and augmenting datasetsRun experiments, ablation studies, and performance benchmarking2. Production & Real-Time DeploymentBuild low-latency inference pipelines for streaming AI responsesDeploy models using Docker, Kubernetes, and CI/CD pipelinesManage multi-model routing across OpenAI, Anthropic, and open-source LLMsImplement fallback systems and graceful degradation strategies3. RAG & Intelligent SystemsDevelop retrieval-augmented generation systems with vector databasesBuild embeddings pipelines and semantic search systemsDesign prompt engineering frameworks and multi-turn AI workflowsCreate agentic systems using tool calling and function execution4. Evaluation & MonitoringBuild automated evaluation frameworks (LLM-as-judge, benchmarks, human eval)Monitor latency, hallucination rates, accuracy, and user feedback signalsDetect model drift and performance degradation in productionOptimize inference cost and token usage across providers5. Data Engineering & InfrastructureDevelop scalable data pipelines for training and inferenceImplement feature extraction from user interactions and logsMaintain dataset versioning and experiment tracking systemsCollaborate with engineering teams on ML infrastructure scaling6. Responsible AI & SafetyBuild safeguards against bias, harmful outputs, and prompt injectionEnsure privacy-first AI design and secure data handlingContinuously evaluate fairness, robustness, and model safetyRequired QualificationsExperience3+ years in ML engineering or AI systems developmentProven track record of deploying production ML systemsExperience working in fast-paced startup environmentsTechnical SkillsStrong Python + ML frameworks (PyTorch / TensorFlow / JAX)Deep understanding of transformers and deep learningExperience with LLM APIs (OpenAI, Anthropic, etc.)Familiarity with RAG systems and vector databasesDocker, Kubernetes, FastAPI, and CI/CD pipelinesCloud platforms (AWS / GCP / Azure)MindsetFull-stack ML ownership from idea productionStrong product thinking and user impact focusExcellent communication and collaboration skillsHigh ownership and execution speedPreferred QualificationsExperience with real-time AI or low-latency systemsKnowledge of model compression, quantization, or distillationExperience with agentic AI systems and tool-use architecturesBackground in AI safety, adversarial robustness, or securityExperience in consumer-scale AI or SaaS products (100K+ users)Compensation & Benefits $150,000 - $220,000 USD / year Meaningful early-stage equity Remote-first (US-based) with optional NYC hybrid High-impact role in a 1M+ user AI platform Fast-paced, AI-native engineering culture Ownership across the full ML stackWhy Join LockedIn AI?LockedIn AI is building a category-defining AI copilot that helps users perform better in live interviews, coding assessments, and professional communication scenarios.You will:Own the ML systems end-to-endWork with cutting-edge LLM and AI infrastructureShip real production models that impact millions of usersOperate in a fast-moving, AI-first product environmentHow to ApplyPlease submit:Resume / CVShort note explaining why you want to join LockedIn AIOptional: GitHub, portfolio, or technical writing samples(Bonus) Feedback on the product if youve used itEqual OpportunityWe are committed to building an inclusive and diverse team. Hiring decisions are based on merit, skills, and business needs.

Job Title: AI/ML Cybersecurity Lead Work Location: - HyderabadExperience: 5+ YearsClient: PrimeraRole Overview: As an AI/ML Cybersecurity Lead, you will be responsible for overseeing the implementation and enhancement of artificial intelligence and machine learning technologies within the cybersecurity domain. Your role will involve designing, developing, and deploying innovative AI/ML solutions to detect and mitigate cyber threats, as well as providing leadership and guidance to a team of cybersecurity professionals. Roles & Responsibilities: 1. Lead the design and development of AI/ML-based cybersecurity solutions to detect, prevent, and respond to cyber threats. 2. Collaborate with cross-functional teams to identify requirements, develop algorithms, and integrate AI/ML capabilities into existing cybersecurity systems. 3. Conduct research on emerging AI/ML techniques and technologies to stay abreast of advancements in the field and identify opportunities for improvement. 4. Evaluate and test AI/ML models to ensure accuracy, reliability, and scalability in real-world cybersecurity environments. 5. Provide technical expertise and guidance to cybersecurity analysts and engineers on AI/ML concepts, tools, and best practices. 6. Monitor and analyze cybersecurity data to identify patterns, trends, and anomalies that may indicate potential security incidents. 7. Work closely with stakeholders to understand business objectives and align AI/ML initiatives with organizational goals and priorities. 8. Stay up to date on the latest cybersecurity threats, vulnerabilities, and attack vectors to inform decision-making and enhance defensive strategies. 9. Participate in incident response activities, including investigating security incidents, conducting root cause analysis, and implementing remediation measures. 10. Communicate complex technical concepts and findings to non-technical stakeholders, including executives, clients, and regulatory bodies. Qualifications: - Bachelor

We are seeking a talented AI/ML Engineer to design, develop, and deploy machine learning models that solve real-world business problems.Key ResponsibilitiesDevelop, train, and optimize machine learning and deep learning models.Design and implement AI solutions for automation, prediction, and data analysis.Work with large datasets to clean, preprocess, and engineer features.Deploy models into production environments and monitor performance.Build scalable ML pipelines and integrate models with applications.Conduct experiments, model evaluations, and performance tuning.Collaborate with cross-functional teams including data engineers and product managers.Stay updated with the latest research and advancements in AI/ML.Note: Only Pune-based candidates can eligible to apply.

Role OverviewWe are looking for a passionate Python Developer to join our team in Jaipur. The candidate will be responsible for developing scalable applications, writing clean code, and collaborating with cross-functional teams to deliver high-quality software solutions. Key ResponsibilitiesDevelop, test, and maintain Python-based applications and backend systemsWrite clean, efficient, and reusable codeDesign and integrate REST APIs and third-party servicesWork with databases (MySQL, PostgreSQL, MongoDB)Debug, troubleshoot, and optimize application performanceCollaborate with front-end developers, designers, and QA teamsParticipate in code reviews and improve development practicesStay updated with latest Python frameworks and technologies Required SkillsStrong knowledge of Python programmingUnderstanding of OOPs, data structures, and algorithmsExperience with at least one framework: Django / Flask / FastAPIBasic knowledge of REST APIs and web developmentFamiliarity with databases (SQL/NoSQL)Version control tools like GitProblem-solving and analytical thinking skills Preferred Skills (Good to Have)Knowledge of HTML, CSS, JavaScriptExperience with cloud platforms (AWS/GCP/Azure)Familiarity with Docker, CI/CD pipelinesExposure to Agile development methodologies

GenAI Engineer - Job DescriptionLocation: NoidaJob Type: Full TimeExperience Level: 1-3 yearsJob SummaryWe are seeking a passionate and skilled GenAI Engineer to join our team and work on cutting-edge Generative AI applications. The ideal candidate will have hands-on experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and modern AI frameworks. This role offers an excellent opportunity to build intelligent, scalable AI solutions and grow in the rapidly evolving field of Generative AI.You will be responsible for designing and implementing RAG pipelines, integrating LLMs into production systems, and optimizing AI-powered applications for real-world use cases.Key ResponsibilitiesHands-on experience with LLMs such as OpenAI GPT, Claude, Llama, or MistralStrong experience building end-to-end RAG pipelines (data ingestion, chunking, embeddings, retrieval, response generation)Expertise in LangChain / LangGraph for AI workflows, agents, and orchestrationExperience with Vector Databases (Pinecone, Qdrant, Weaviate, ChromaDB, FAISS)Strong Prompt Engineering and optimization techniquesProficiency in Python with backend development using FastAPI/DjangoExperience integrating LLM APIs into scalable applicationsUnderstanding of embeddings, NLP concepts, semantic search, and data preprocessingExperience working with SQL (PostgreSQL/MySQL) and NoSQL (MongoDB) databasesMLOps, aws sagemaker, redis, DBMS, distributed systems, microservicesRAG, graph rag, langraph, vector dbs like neo4j, milvus, qdrantGood to HaveExperience with model fine-tuning and training custom modelsKnowledge of LangSmith or other LLM observability toolsUnderstanding of token optimization and cost management for LLM applicationsExperience with streaming responses and async processingFamiliarity with Docker and containerizationExposure to cloud platforms (AWS, Azure, or GCP) for AI deploymentExperience with CI/CD pipelinesKnowledge of MLOps practices and model versioningUnderstanding of AI safety, ethics, and responsible AI principlesExperience building conversational AI agents or chatbotsFrontend integration experience (React, Vue, or Angular)EducationBachelor's or Master's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or a related fieldRelevant certifications in AI/ML or LLM technologies are a plusWhat We OfferCompetitive salary and benefits packageOpportunity to work on cutting-edge Generative AI projectsCollaborative and innovative work environmentExposure to latest LLM technologies and frameworksCareer growth and continuous learning opportunitiesFlexible work arrangementsMentorship from experienced AI practitioners

Seeking a graduate Mechanical Engineer, preferably male, for a full-time position in Bongaigaon, Assam. Responsibilities include designing, testing, and overseeing the manufacturing of mechanical systems. The ideal candidate should have strong problem-solving skills, proficiency in CAD software, and excellent communication skills to collaborate with team members and clients effectively. Willingness to work in an office setting is required.

Job Title: Tech LeadExperience: 6 - 8+ YearsEmployment Type: Full-time / Work from officeRole OverviewWe are looking for an experienced Tech Lead to join our dynamic team and drive the development of scalable AdTech solutions. The ideal candidate will bring strong technical expertise, leadership capabilities, and experience working in Agile environments.You will play a key role in building innovative platforms that automate media transactions and enhance global audience engagement.Key Responsibilities Provide hands-on technical guidance to engineering teams. Enforce best practices in coding standards, architecture, and design principles. Lead Agile POD teams across product, engineering, and QA. Ensure timely delivery of technical deliverables with high quality. Collaborate with solution architects to design scalable and maintainable systems. Convert architecture designs into development plans. Mentor junior engineers and promote continuous learning. Encourage collaboration and innovation within the team. Oversee the entire development lifecycle from planning to deployment. Resolve technical challenges to ensure smooth delivery. Identify development bottlenecks and optimize workflows. Implement automation to improve productivity and performance.Required Skills & Qualifications Bachelors or Masters degree in Computer Science, IT, or related field. 6+ years of experience as a Tech Lead or Senior Developer. Strong experience working in Agile development environments.Technical Skills Programming: Java, Python, Angular, C++ Databases: MongoDB, SQL, NoSQL Cloud Platforms: AWS Experience with AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or Keras Experience deploying AI models in production Knowledge of deep learning, NLP, computer vision, or generative AIPreferred Skills Experience in AdTech / OOH advertising / E-commerce platforms Knowledge of CI/CD pipelines and DevOps practices Familiarity with tools such as Jira and ConfluenceTech Stack Programming: Java, Python, C++ Frontend: Angular, React Database: MongoDB, SQL, NoSQL Cloud: AWS

We are looking for a highly capable AI Lead Engineer to contribute to the design and delivery of intelligent, scalable AI solutions. This role focuses on building production-grade systems involving LLMs, vector databases, agent-based workflows, and Retrieval-Augmented Generation (RAG) architectures on the cloud. The ideal candidate should demonstrate strong problem-solving abilities, hands-on technical skills, and the ability to align AI design with real-world business needs.Must-Have SkillsStrong coding ability in Python and proficiency in SQL.Hands-on experience with vector databases (e.g., Pinecone, FAISS, Weaviate).Practical experience with LLMs (OpenAI, Claude, Gemini, etc.) in real-world workflows.Familiarity with LangChain, LlamaIndex, or similar orchestration tools.Proven track record in delivering scalable AI systems on public cloud (Azure, AWS, or GCP).Experience building and optimizing RAG pipelines.Solid understanding of server less/cloud-native architecture and event-driven design.Integrate/expose the ai solution in applications using fastapi,flask,djangoPreferred or Good to Have SkillsExposure to agentic AI patterns and multi-agent coordination.Knowledge of AI system safety practices (e.g., hallucination filtering, grounding).Experience with MLOps tools (MLflow, KubeFlow) and CI/CD for ML.Understanding of concept/data drift and retraining strategies in production.Experience working on AI projects involving classification, regression, and clustering models.Prior work on multi-modal AI pipelines (vision + language).Familiarity with real-time inference tuning (batching, concurrency).Demonstrated ability to deliver a variety of AI solutions in production environments across domains.Any Other:Bachelors or Masters degree in Computer Science, Data Science, AI/ML, or related field.Strong analytical mindset with a clear focus on business-aligned AI delivery.Excellent verbal and written communication skills.Key ResponsibilitiesCollaborate with the Solution Architect to design agentic AI systems (e.g., ReAct, CodeAct, Self-Reflective Agents).Build and deploy scalable RAG pipelines using vector databases and embedding models.Integrate modern AI tools (e.g., LangChain, LlamaIndex, Kagi, Search APIs) into solution workflows.Optimize inference performance for cloud and edge environments.Contribute to the development of feedback loops, drift detection, and self-healing AI systems.Deploy, monitor, and manage AI solutions on cloud platforms (Azure, AWS, or GCP).Translate business use cases into robust technical solutions in collaboration with cross-functional teams.

We are looking for an AI Engineer to join our team in Bangalore. This role is suitable for candidates with 0 to 5 years of experience. As an AI Engineer, your primary focus will be on developing and implementing artificial intelligence models and systems.Key Responsibilities:- Develop AI Models: Create and enhance AI models to solve specific problems, ensuring they are effective and efficient.- Data Analysis: Analyze large data sets to extract meaningful patterns and insights, which are crucial for training AI systems.- Collaboration: Work closely with software developers and data scientists to integrate AI solutions into existing applications and platforms.- Testing and Validation: Conduct tests on models to evaluate their performance, making necessary adjustments to improve accuracy.- Documentation: Maintain clear documentation of processes, models, and findings, facilitating knowledge sharing within the team.Required Skills and Expectations:Candidates should have a solid understanding of programming languages such as Python or Java, as these are essential for model development. Familiarity with machine learning frameworks like TensorFlow or PyTorch is crucial for building robust AI solutions. A strong analytical mindset and problem-solving abilities are key traits we expect. Additionally, it is important for candidates to communicate effectively, as collaboration with team members is pivotal. While prior experience is beneficial, a keen interest in artificial intelligence and a willingness to learn are equally valued. Candidates should have completed at least their 12th grade education.

Job Title: Data EngineerExperience: 6+ YearsLocation: BangaloreJob SummaryWe are seeking an experienced Data Engineer with 6+ years of experience in designing, developing, and supporting modern data engineering solutions. The ideal candidate will have strong expertise in Azure, Databricks, PySpark, SQL, Python, AI/ML, and production support. Experience in the Healthcare, Claims, or Payer domain is highly preferred.Key Skills & RequirementsData Engineering & Cloud6+ years of experience in Data Engineering.Strong hands-on experience with Microsoft Azure and Azure Data Services.Expertise in Azure Data Factory (ADF), including pipelines, triggers, monitoring, and troubleshooting.Strong experience with Azure Databricks.Hands-on experience with Delta Tables, PySpark, and Spark SQL.Experience with workflow orchestration tools such as Apache Airflow.Database & SQLExperience with Oracle and Snowflake databases.Strong understanding of SQL-based RDBMS platforms.Advanced SQL skills, including:Complex joinsQuery optimization and performance tuningAnalytical functionsProgramming & AI/MLStrong proficiency in Python (Mandatory).Knowledge of additional programming languages such as Java or Scala is preferred.Hands-on exposure to AI/ML technologies (Mandatory).Experience with AI tools, AI Builder, ML pipelines, or analytics-driven use cases.Production Support & QualityExperience in production support and issue resolution.Strong knowledge of incident management, RCA, and SLA adherence.Experience in data validation, reconciliation, and testing.Exposure to QA automation and data testing frameworks is preferred.Preferred QualificationsExperience working with Optum is preferred.Strong experience in the Healthcare, Claims, or Payer domain.Candidates with Optum experience should clearly mention the duration and role on their resume.Must-Have SkillsAzureAzure Data Factory (ADF)Databricks / PySpark / Spark SQLPythonAdvanced SQLAI/MLGood-to-Have SkillsApache AirflowOracle and SnowflakeHealthcare / Claims / Payer domainOptum experienceProduction Support & QA Automation