Machine Learning Jobs

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.

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 looking for a Lead Data Scientist with 10 to 12 years of experience to join our team in Pune. This full-time position requires a strong background in data analysis and machine learning, along with excellent leadership skills.**Key Responsibilities:**- **Team Leadership:** Guide and mentor a team of data scientists to foster a collaborative environment and encourage skill development.- **Project Management:** Oversee data science projects from conception to completion, ensuring timely delivery and adherence to project goals.- **Data Analysis:** Analyze complex datasets to identify trends, patterns, and insights that can drive business decisions.- **Model Development:** Develop and deploy machine learning models that solve practical business problems and improve operational efficiency.- **Collaboration:** Work closely with cross-functional teams, including engineering and business units, to translate data findings into actionable strategies.- **Research and Innovation:** Stay updated with the latest industry trends and integrate cutting-edge techniques into the team's workflows.To succeed in this role, you should have advanced expertise in machine learning algorithms and statistical analysis. A Master's degree in a relevant field, such as M.Tech, is required. Strong programming skills in Python or R, along with experience in big data technologies, are essential. Excellent communication abilities are necessary to convey technical concepts to non-technical stakeholders. You should also possess strong problem-solving skills and a passion for data-driven decision-making.

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.

About the RoleWe are seeking an experienced Python and React TypeScript Full Stack Developer to join our engineeringteam. The ideal candidate will bring a strong background in building scalable web applications, designingand consuming RESTful APIs and webhooks, and working across multiple database technologiesincluding PostgreSQL, MongoDB, and Microsoft SQL Server. Hands-on experience with machine learningmodels is essential, as you will be responsible for integrating intelligent features into our products.Key Responsibilities Design, develop, and maintain full stack web applications using Python (Django/Flask/FastAPI)on the backend and React on the frontend. Architect and implement RESTful APIs and webhook integrations to enable seamlesscommunication between internal and third-party systems. Build and manage database schemas, queries, and migrations across PostgreSQL, MongoDB, andMicrosoft SQL Server. Develop, fine-tune, and deploy machine learning models into production environments,ensuring scalability and performance. Collaborate with data scientists and product teams to translate ML prototypes into robust,production-ready features. Write clean, maintainable, and well-tested code with comprehensive unit and integration tests. Participate in code reviews, architectural discussions, and sprint planning to maintain highengineering standards. Monitor application performance, troubleshoot production issues, and implement optimisationsto improve speed and reliability. Contribute to CI/CD pipelines, infrastructure-as-code, and DevOps best practices. Mentor junior developers and contribute to a culture of continuous learning and technicalexcellence.Required Skills & Qualifications Minimum 5 years of professional experience in full stack development. Strong proficiency in Python (Django, Flask, or FastAPI) and React with TypeScript, with a proventrack record of building and delivering production-grade full stack applications.JOB DESCRIPTIONConfidential Page 2 Extensive experience designing, building, and consuming RESTful APIs and webhook-basedevent-driven architectures. Solid working knowledge of PostgreSQL, MongoDB, and Microsoft SQL Server, including queryoptimisation and data modelling. Hands-on experience developing, training, and deploying machine learning models usingframeworks such as TensorFlow, PyTorch, or scikit-learn. Familiarity with ML pipelines, feature engineering, model evaluation, and deployment strategies(e.g., MLflow, Docker, Kubernetes). Experience with version control systems (Git) and collaborative development workflows. Strong understanding of software engineering principles including SOLID, DRY, and designpatterns. Excellent problem-solving skills with the ability to work independently and within cross-functional teams.Nice to Have Experience with cloud platforms such as AWS, Azure, or GCP. Familiarity with message brokers (RabbitMQ, Kafka) and event-driven microservicesarchitectures. Exposure to NLP, computer vision, or recommendation systems. Experience with containerisation (Docker) and orchestration (Kubernetes). Knowledge of .NET MVC or WebForms is a plus. Experience with data visualisation libraries (D3.js, Plotly, or similar).What We Offer Competitive salary and performance-based bonuses. Flexible working arrangements (hybrid/remote options). Professional development budget for conferences, courses, and certifications. Opportunity to work on cutting-edge projects involving AI and machine learning. Collaborative, supportive team culture with a focus on innovation. Generous holiday allowance, pension contributions, and health benefits.If you interested, Share me your CV at.Riya Mishra8370014003hrcps9@gmail.com

As an AI Developer, you will be at the forefront of creating intelligent systems and enhancing existing applications with artificial intelligence capabilities. This role is perfect for individuals eager to learn and grow in the field of AI.**Key Responsibilities:**- **Develop AI Models:** Create and implement machine learning models by analyzing data and ensuring their accuracy and performance.- **Data Preparation:** Collect, clean, and preprocess data to make it suitable for training AI models, ensuring high-quality results.- **Collaborate with Teams:** Work with other developers and analysts to understand system requirements and integrate AI functionalities into applications.- **Test and Evaluate Models:** Regularly assess and refine AI models to improve their performance based on feedback and testing results.- **Stay Updated:** Keep abreast of the latest trends in AI and machine learning to incorporate new techniques and tools into your work.**Required Skills and Expectations:**- A foundational understanding of programming languages such as Python, R, or Java is essential. Familiarity with libraries like TensorFlow or PyTorch is a plus.- Strong analytical skills to interpret complex data and derive actionable insights from it.- Ability to communicate technical concepts clearly to team members and stakeholders.- Eagerness to learn and adapt in a fast-paced environment, demonstrating a proactive approach to problem-solving.- A degree in B.C.A, a vocational course, or a professional degree in a related field is necessary, along with up to 2 years of experience in a similar role.

Develop, Implement, and Test Research-based Algorithms and Models.Work On Projects Related to Machine Learning, Deep Learning, Data Analysis, and Image/signal Processing.Write Clean, Efficient, and Well-documented Code Using Python and Matlab.Analyze Datasets and Improve Model Performance Using Suitable Techniques.Support Research and Development Activities for Academic, Industrial, or Technical Projects.Prepare Technical Documentation, Reports, and Project Explanations.Debug, Optimize, and Validate Codes for Accuracy and Performance.Stay Updated with Latest Tools, Libraries, and Research Trends in Ai, Ml, and Deep Learning.

Sutherland is hiring for the role of Data Annotation Specialist - Trust & Safety Operations Role OverviewSeeking detail-oriented specialists to support data annotation for a global technology platform. The role involves reviewing, labeling, and classifying datasets to support AI/ML models, abuse detection, and operational intelligence initiatives.

Clustering, Python, SQL, Statistical Analysis, Qlik Sense, RAG, LLM, Evaluation Packages, PIP Installation, ability to create custom APIs, LangChain, Cognitive Layer, GCP, Chunking Strategy, Tokenization , Deployment.Spark and Alteryx

Full time trainer of Data analytics and data science

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.

We are seeking a dedicated Software Trainee to join our dynamic team in Nagpur. This is an exciting opportunity for freshers who are eager to learn and grow in the field of software development.**Key Responsibilities:**- **Assist in Development Projects:** Collaborate with senior developers to maintain and develop software applications, gaining hands-on experience in coding and debugging. - **Participate in Code Reviews:** Engage in code review sessions to understand industry best practices and improve your coding skills under guidance. - **Conduct Software Testing:** Involve yourself in testing software applications for bugs or errors, helping to ensure that they meet quality standards before release. - **Documentation:** Document code changes and create user manuals to support further development and guide users in understanding the software. - **Learn New Technologies:** Stay updated with the latest software development trends and tools to bring innovative solutions to projects.**Required Skills and Expectations:**- **Educational Background:** A degree in Computer Science or a related field is preferred. - **Basic Programming Knowledge:** Familiarity with programming languages such as Java, C++, or Python is essential. - **Analytical Skills:** Strong problem-solving abilities and a keen interest in learning new technologies. - **Team Player:** Ability to work collaboratively within a team environment and engage in constructive discussions. - **Communication Skills:** Good verbal and written communication skills to effectively share ideas and collaborate with peers. - **Willingness to Learn:** A positive attitude towards learning and adapting to new challenges in a fast-paced environment.

Panacorp Software Solution, Nagercoil is hiring experienced Research Programmers with strong MATLAB and research implementation skills.We are looking for candidates with hands-on experience in: MATLAB Programming Simulink Algorithm Implementation Simulation & Modeling Research Paper Implementation Data Analysis & VisualizationExperience: 3-5 YearsQualification: BE / ME / MTechIf you have experience working on engineering or research-based projects, wed like to connect with you.

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 looking for a motivated Data Scientist to join our team in a part-time capacity. This position allows you to work from home and is suitable for individuals with 0 to 2 years of experience. As a Data Scientist, your role will involve analyzing data to help guide business decisions.**Key Responsibilities:**- **Data Collection:** Gather data from various sources, ensuring it is relevant and accurate for analysis. This step is crucial to provide a solid foundation for your work.- **Data Cleaning:** Prepare the data by removing inaccuracies and duplicates, making it suitable for analysis. Clean data is essential for generating reliable results.- **Data Analysis:** Utilize statistical methods and tools to interpret complex data sets. The goal is to identify trends, patterns, and insights that can inform decision-making.- **Reporting Results:** Create clear and understandable reports to communicate your findings to team members and stakeholders. Good reporting ensures that valuable insights are effectively shared.- **Collaboration:** Work with other team members to understand their data needs and provide support. Collaboration enhances the overall quality of the analysis.**Required Skills and Expectations:**- Basic knowledge of data analysis tools and programming languages such as Python or R is preferred.- Strong analytical thinking and problem-solving skills to interpret data effectively.- Good communication skills to present information clearly.- Familiarity with statistical concepts and methodologies will be an advantage.- A proactive approach to learning and improving data skills is essential for success in this role.

We are looking for an enthusiastic IT Trainer to join our team in Nashik. This role involves teaching a variety of IT concepts and skills to students or employees, ensuring they understand and can apply their knowledge effectively.Key Responsibilities:- **Conduct Training Sessions**: Organize and lead sessions on various IT topics such as software applications, coding, and hardware troubleshooting, tailoring content to suit the audience

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