Machine Learning Engineer Jobs

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.

Key ResponsibilitiesDesign, develop, and deploy scalable machine learning models and algorithmsWork with large datasets to build data pipelines and preprocessing systemsDevelop and optimize predictive models and recommendation systemsDeploy ML models into production and monitor performanceWork on model training, testing, evaluation, and tuningCollaborate with data scientists, developers, and business teamsImplement MLOps practices for model lifecycle managementEnsure model accuracy, scalability, and efficiencyStay updated with latest ML technologies and frameworks

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: 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

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

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.

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

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

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.

AIML Engineer Job DescriptionExp: 4+ yrsNP : Immediate / 15 daysLocation : Bhubaneswar/ Bangalore/ ChennaiPosition OverviewWe are seeking a highly skilled Artificial Intelligence & Machine Learning Engineer to design, develop, and deploy intelligent systems that solve complex business problems. The role involves applying advanced algorithms, data science techniques, and deep learning frameworks to build scalable AI solutions.Key ResponsibilitiesModel Development: Design, train, and optimize ML/DL models for predictive analytics, NLP, computer vision, and recommendation systems.Data Engineering: Collect, preprocess, and analyze large datasets to ensure quality and usability.Deployment & Integration: Implement AI models into production environments using cloud platforms (AWS, Azure, GCP).Research & Innovation: Stay updated with emerging AI/ML technologies and apply them to business challenges.Collaboration: Work closely with product managers, data scientists, and software engineers to deliver end-to-end AI solutions.Performance Monitoring: Continuously evaluate and improve deployed models for accuracy, scalability, and efficiency.Required Skills & QualificationsStrong programming skills in Python, R, Java, or C++.Expertise in ML/DL frameworks: TensorFlow, PyTorch, Keras, Scikit-learn.Solid understanding of statistics, probability, and linear algebra.Experience with cloud services: AWS SageMaker, Azure ML, Google AI Platform.Knowledge of data handling tools: SQL, Spark, Hadoop.Familiarity with NLP, computer vision, reinforcement learning.Strong problem-solving, communication, and teamwork skills.Preferred QualificationsExperience with MLOps (CI/CD pipelines for ML).Hands-on with big data technologies.Publications or contributions to AI research.Infested candidate can share CV to Rekha.C@eagledrift.com

Job Title: ML Engineer - Workflow Automation & Response Intelligence Role Overview: We-re seeking an experienced ML Engineer to lead initiatives in workflow automation and sentiment-driven response generation using third-party AI agents. The candidate will be responsible for integrating external AI services, orchestrating intelligent workflows, and ensuring contextual, automated replies based on sentiment and intent.Key Responsibilities:Integrate and orchestrate third-party AI agents for sentiment analysis and auto-response generationDesign and maintain workflow automation pipelines that trigger intelligent actions based on AI outputsConfigure and fine-tune agent behavior for tone, escalation logic, and contextual relevanceCollaborate with engineering and product teams to define response logic and escalation pathsMonitor agent performance, ensure reliability, and manage API interactionsDocument workflows, integration logic, and fallback strategies in ConfluenceRequired Skills:4-5 years of experience in AI/ML engineering or intelligent automationStrong proficiency in Python for scripting and API orchestrationExperience integrating third-party AI services (e.g., OpenAI, Google Cloud AI, Azure Cognitive Services)Familiarity with sentiment analysis, intent classification, and response generationWorkflow orchestration using tools like Airflow, Prefect, or custom schedulersREST API integration and error handlingVersion control using Git, and task management via JiraNice to Have:Exposure to LangChain, Rasa, or other conversational AI frameworksExperience with LLM prompt engineering and agent chainingUnderstanding of ethical AI principles and fallback logic for agent responsesExposure to Golang and PostgreSQL database

Role: Research Programmer(Python)Industry Type: IT Services & ConsultingDepartment: Research & DevelopmentEmployment Type: Full Time, PermanentSalary: NegotiableJob Description:We are seeking a Machine Learning Research Assistant to support our Research and Development (R&D) projects in the field of AI and data-driven PhD research. The role involves developing, testing, and implementing machine learning models, data analysis, and assisting in the preparation of academic research papers and technical documentation.Key Responsibilities: Assist in designing and implementing machine learning algorithms and deep learning models for research applications. Conduct data preprocessing, feature engineering, and model evaluation. Perform literature reviews to identify trends and methods relevant to ongoing research projects. Support PhD researchers with technical coding assistance and research data analysis. Prepare research reports, documentation, and result visualizations. Collaborate with the R&D team to explore new technologies and research directions in AI and ML.Required Skills: Strong programming skills in Python, NumPy, Pandas, TensorFlow, or PyTorch. Knowledge of machine learning algorithms, data analytics, and model optimization. Experience with research writing or academic publications is a plus. Strong analytical, problem-solving, and communication skills.Best Regards,Anand Kumar LHRPanacorp Software Solutions

We're Hiring: AI Engineer at MSolve TechMSolve Tech is looking for a talented AI Engineer with 4+ years of experience to design and build AI products using Agentic AI (Autogen), Python backend, and React/Node.js front-end.What You'll Do:Build AI-powered products from concept to deployment.Develop backend services in Python and integrate AI/ML pipelines.Create responsive front-end apps using React & Node.js.Work with RDBMS and Azure Cosmos DB.Skills We're Looking For:Python, Node.js, ReactAgentic AI (Autogen)RDBMS & Azure Cosmos DBProduct-focused mindset & strong problem-solving skillsWhy Join Us:Lead the development of cutting-edge AI productsFlexible work environmentGrow your skills with an innovative tech team

** Walk-In Interview Embedded Engineer (Contract Role)** **Date:** 08/10/2025 **Time:** 10:00 AM 2:00 PM **Location:** Mirror Institute for Embedded Technology (MIET), Vadapalani, Chennai** Role:** Embedded Engineer (3-Year Contract)** Salary:** 20,000 35,000/month + 4,000 annual increment** Eligibility:*** **Education:** M.E. (Embedded Systems, VLSI, Power Electronics, Power Systems), M.Sc. (Electronics)* **University:** Anna University (Tamil Nadu) only* **Marks:** 70% in UG, 65% in 10th & 12th* **Experience:** Freshers & Experienced** Skills Required:*** C, C++, Python, Linux, RTOS (QNX, Zephyr)* ARM Cortex, FPGA, SoCs, MATLAB* AI/ML Tools, Embedded Systems* Communication & Mentorship Skills** What Youll Do at MIET:*** Learn & work on cutting-edge tech* Get mentored by industry experts* Build PoCs, R&D prototypes* Train and mentor engineering students** Address:**3rd Floor, Chandamama Building, Arcot Road, Vadapalani, Chennai 600026(Landmark: Opp. Kamala Theater, Above Viveks Showroom) *Only eligible candidates should attend.*

We are seeking a skilled MLOps Engineer to lead the automation of the ML lifecycle from training to deployment. You will manage scalable CI/CD pipelines, containerized workflows, and performance monitoring across multiple deployment targets.

Position OverviewThe Senior AI Engineer reports to the Head of Technology and is responsible for the entire lifecycle of AI solutions, from design to deployment. This includes using multi-agent workflows, advanced knowledge retrieval, and large language models to solve enterprise challenges, thereby improving business efficiency, innovation, and strategic decision-making. The role involves leading projects such as AI Copilots, Enterprise Search Solutions, Summarization Engines, and Intelligent Automation Tools, ensuring they are robust, scalable, and production-ready. A key aspect of the role is mentoring junior AI Engineers and maintaining high engineering standards. This is a full-time hybrid position based in Mumbai.Key ResponsibilitiesCore Functional Responsibilities Build and deploy agentic systems and multi-agent workflows using frameworks like LangChain, LlamaIndex, and OpenAI SDK. Develop RAG pipelines using embeddings and vector databases (e.g., FAISS, Pinecone, Weaviate, Qdrant). Fine-tune and optimize LLMs (GPT-4, Claude, LLaMA, Mistral, Gemini) using techniques like LoRA/QLoRA and quantization. Ensure solutions are secure and compliant, with guardrails, safe API usage, and PII protection. Implement agent monitoring and evaluation with tools like LangSmith or AgentOps to track and improve performance. Deliver real-world enterprise use cases such as AI copilots, workflow orchestration, and intelligent search systems. Mentor junior AI Engineers, reviewing their work, sharing best practices, and supporting their growth. Collaborate with product, data, and DevOps teams to bring AI solutions to production at scale. Demonstrated knowledge of agentic AI frameworks - Practical experience in Small Language Model (SLM) implementation.Required Skills & ExperienceGeneral & Cross-Functional Strong knowledge of LLMs and Gen-AI applications, with hands-on experience in fine-tuning and prompt engineering. Proven experience in RAG pipelines and working with vector databases. Practical expertise in agent frameworks (LangChain, LlamaIndex, etc.) and multi-agent orchestration. Ability to deploy and scale models on cloud platforms (AWS, Azure, HuggingFace, etc.). Proficiency in Python or similar programming languages. Experience with LLMOps (monitoring, evaluation, cost optimization). Strong track record of delivering enterprise-grade AI solutions, not just prototypes. Familiarity with agent monitoring/debugging tools (LangSmith, AgentOps). Experience mentoring or guiding junior engineers in a technical team. (Bonus) Experience fine-tuning open-source LLMs or contributing to community projects. (Bonus) Exposure to autonomous agent use cases such as research copilots or intelligent task orchestration

Role Overview:InnovaPoint is seeking a dynamic Senior AI Engineer to lead the development and deployment of cutting-edge AI solutions. This role is ideal for a self-driven technologist with deep expertise in AI/ML and a passion for building intelligent systems such as AI chatbots, agents, automation tools, and recommendation engines.You will be responsible for transforming business challenges into scalable AI solutions while also supporting strategic conversations about how AI can reshape services and operations.Responsibilities: Design, build, and deploy AI/ML models, AI chatbots, and custom AI agents Work with LLMs (OpenAI, Anthropic, Mistral) and frameworks like LangChain or LlamaIndex Develop prompt engineering and RAG-based solutions using vector databases Integrate AI capabilities into web applications, internal tools, and client platforms Optimize and monitor model performance in production environments Collaborate with frontend/backend developers and DevOps for AI solution delivery Research and experiment with the latest in GenAI, NLP, and multimodal AI systems Maintain AI best practices, documentation, and model version controlRequired Skills: Strong programming skills in Python and experience with AI/ML libraries (Transformers, PyTorch, TensorFlow) Hands-on experience with GenAI APIs (OpenAI, Claude, etc.) Solid grasp of LLMs, chatbot architectures, RAG pipelines, and embedding models Experience deploying models in cloud environments (AWS/GCP/Azure) Knowledge of vector stores, memory modules, and LLM app frameworks Bonus: familiarity with Streamlit, Gradio, or other rapid AI prototyping toolsQualifications: B.Tech/M.Tech/MCA in Computer Science, AI, Data Science, or related field 4+ years of software development experience, with 5+ years focused on AI/ML/GenAI

We are hiring an experienced ML Engineer to lead the design and deployment of robust, production-ready AI systems. You will drive experimentation, model validation, and edge performance benchmarking for scalable biometric applications.

Job Summary:We are seeking a highly skilled and experienced in AI specializing in machine learning, computer vision with a focus on image processing, pattern recognition, video analytics & biometric matching (face, voice etc.). As per the role, you will play a pivotal role in guiding the innovation and development of AI and computer vision- based biometric modules. The ideal candidate will have extensive hands-on experience in creating and deploying machine learning models in large-scale scenarios, with a strong focus on object detection, computer vision, and deep learning model architectures & frameworks, ML Ops & orchestration.Key ResponsibilitiesML Model Development: Lead the design, development, and deployment of machine learning models, specifically in the context of biometric identity verification.Innovation and Research: Stay abreast of the latest advancements in AI and computer vision technologies. Drive innovation by exploring and implementing state-of-the-art solutions in the realm of biometrics.Solution Design & Deployment: Lead the design and architecture of AI solutions, ensuring alignment with business objectives. Collaborate with cross-functional teams to create robust, accurate & scalable solutions for image and video analytics, data analytics, large scale biometric matching processing.Guidance and Mentorship: Provide technical leadership to the data science team, offering guidance and mentorship to ensure the highest standards of performance and continuous skill development. Effectively delegate tasks to junior team members, providing guidance and mentorship. Foster a collaborative team environment and ensure the timely delivery of high-quality solutions.Collaboration: Work closely with other departments, such as software engineering and product management, to integrate machine learning solutions seamlessly into our products and services.Communication: Clearly communicate complex technical concepts to both technical and non-technical

Job Summary:We are seeking a highly skilled Node.js Developer with 5+ years of experience to join our dynamic team. The ideal candidate will be proficient in PHP/Node.js, MVC architecture, and have a strong understanding of MySQL databases, GIT, and RESTful APIs. A quick learner with good knowledge of AWS and solid skills in Data Structures and Algorithms (DSA), you should be able to thrive in a fast-paced startup environment.Key Responsibilities: Develop, test, and maintain high-quality web applications using PHP (Laravel) and Node.js. Implement and maintain MVC architecture in web applications for clean and efficient code. Design and optimize MySQL database schemas and queries for performance and scalability. Build and integrate RESTful APIs to support frontend and other backend services. Work with AWS services (EC2, S3, RDS, etc.) for deploying, managing, and scaling applications. Utilize GIT for version control, ensuring clean and organized code management. Collaborate with cross-functional teams, including frontend developers, designers, and product managers, to deliver high-quality products. Debug and resolve technical issues and bugs in a timely and efficient manner. Continuously learn and adapt to new technologies, tools, and best practices in web development. Apply knowledge of Data Structures and Algorithms (DSA) to optimize application performance and solve complex problems. Participate in code reviews, provide constructive feedback, and contribute to improving coding standards and practices. Work independently and proactively in a startup environment, managing multiple tasks and projects effectively.Qualifications: Bachelors degree in computer science, Engineering, or a related field, or equivalent experience. 4-5 years of experience as a React, Node.js Developer. Proficiency in PHP frameworks, particularly Laravel, and a strong understanding of MVC architecture. Experience with Node.js and JavaSc

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.