01Responsibilities
Design, develop, and deploy machine learning models in productionBuild end-to-end ML pipelines (data ingestion, training, evaluation, deployment)Optimize model performance, scalability, and reliabilityCollaborate with product and engineering teams to integrate ML solutionsMonitor models in production and retrain as needed
02Requirements
Strong programming skills in Python (and/or Java, Scala)Experience with ML frameworks such as TensorFlow, PyTorch, Scikit-learnKnowledge of data structures, algorithms, and software engineering best practicesExperience with SQL, NoSQL, and data processing toolsFamiliarity with cloud platforms (AWS, GCP, Azure)Nice to Have:
Experience with MLOps, CI/CD, Docker, KubernetesKnowledge of NLP, Computer Vision, or Recommendation SystemsJob Types: Full-time, Part-time, Permanent, Fresher, Internship, Contractual / Temporary, Freelance, Volunteer
Contract length: 60 months
Compensation: 11,217.60 - 69,940.80 per month
Benefits:
Cell phone reimbursementCommuter assistanceFlexible scheduleFood providedHealth insuranceInternet reimbursementLeave encashmentLife insurancePaid sick timePaid time offProvident FundWork from homeWork Location: In person .