AI/ML Engineer
Indexed description
Greetings from TCS!
Job Title: AI/ML Engineer
Walkin Date: 23rd May ‘26
Walkin Location: Tata Consultancy Services Ltd, Plot No - 35, SEZ Road, ChandakaIndustrial Estate Chandrasekharpur, Infocity, Patia, Bhubaneswar – 751024
Walkin Time: 9am-1pm
Experience Range: 3-12 yrs
Job description:
TCS has always been in the spotlight for being adept in the next big technologies. What we can offer you is a space to explore varied technologies and quench your techie soul.
Key Responsibilities
- Design, develop, and deploy machine learning models for business applications
- Perform data preprocessing, feature engineering, and exploratory data analysis (EDA)
- Build and optimize supervised and unsupervised learning models
- Develop scalable ML pipelines and integrate them into production systems
- Evaluate model performance and fine-tune using appropriate metrics
- Work with large datasets using Python-based frameworks
- Collaborate with data engineers, product teams, and stakeholders to deliver AI solutions
- Document models, experiments, and ensure reproducibility
- Stay updated on new ML techniques and AI advancements
What we are looking for:
Technical Skills – Mandatory
- Strong programming skills in Python
- Hands-on experience with ML libraries: Scikit-learn, TensorFlow, PyTorch
- Knowledge of data handling libraries: Pandas, NumPy
- Understanding of ML algorithms:
- Regression, Classification
- Clustering
- Decision Trees, Random Forest, Gradient Boosting
- Experience in data preprocessing & feature engineering
- Knowledge of model evaluation techniques (precision, recall, F1, ROC-AUC, etc.)
- Experience with SQL / database querying
- Basic understanding of model deployment concepts (APIs, Flask/FastAPI)
Technical Skills – Preferred
- Exposure to Deep Learning / NLP / Computer Vision use cases
- Experience with cloud platforms (AWS / Azure / GCP)
- Familiarity with MLOps tools (Docker, CI/CD pipelines, MLflow, Kubeflow)
- Knowledge of big data frameworks (Spark)
- Experience in REST API integrations
Minimum Qualification: 15 years of full-time education
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