[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All Tata Consultancy Services jobs](https://jobs.opennash.com/companies/tata-consultancy-services/) · [Search jobs](/search/) Tata Consultancy Services · Trivandrum # AI/ML Trivandrum Last seen on Tata Consultancy Services’s official careers site on August 1, 2026; it may have closed since. [Apply on Tata Consultancy Services’s careers site →](https://ibegin.tcsapps.com/candidate/next/en-IN/jobs/412702J) [OpenNash Jobs](https://jobs.opennash.com/) / [Tata Consultancy Services](https://jobs.opennash.com/companies/tata-consultancy-services/) / AI/ML ## Job description ### Job Title AI / ML Developer Experience: 3–5 Years Location: Noida ### Job Summary We are looking for a skilled AI/ML Developer with hands-on experience in building, deploying, and maintaining machine learning models. The candidate will work closely with data engineers, business teams, and application teams to deliver scalable AI/ML solutions. ### Key Responsibilities - Design, develop, and deploy machine learning models for business use cases - Perform data preprocessing, feature engineering, and model validation Implement ML pipelines from data ingestion to model deployment - Optimize model performance, accuracy, and scalability - Work with structured and unstructured data - Deploy models as APIs or services for application integration - Monitor model performance and retrain models as needed - Collaborate with cross‑functional teams to understand requirements - Follow best practices for coding, documentation, and version control ### Required Skills & Qualifications AI / Machine Learning 3–5 years of experience in AI/ML development - Strong understanding of machine learning algorithms (regression, classification, clustering, NLP basics) Experience with model training, evaluation, and tuning ### Programming & Tools - Proficiency in Python Hands-on experience with ML libraries/frameworks such as: Scikit‑learn TensorFlow or PyTorch Pandas, NumPy Strong SQL knowledge is a plus Cloud AI services (AWS SageMaker / Azure ML) Data & Deployment Experience working with large datasets Exposure to model deployment (REST APIs, batch jobs) - Familiarity with cloud platforms (AWS/Azure/GCP) – preferred Understanding of MLOps concepts (CI/CD, versioning, monitoring) Good to Have Experience with NLP, Computer Vision, or GenAI use cases - Knowledge of LLMs, prompt engineering, or vector databases Experience with Docker, Kubernetes, or MLflow AI/ML or Cloud certifications ### Soft Skills - Strong analytical and problem‑solving skills Good communication and sta keholder collaboration - Ability to work independently and take ownership Flexible and quick learner