Tata Consultancy Services · Trivandrum
AI/ML
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 →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 </ul
Qualifications
BACHELOR OF ENGINEERING
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