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Tata Consultancy Services Linkedin · Posted 13d ago

AI/ML Engineer

Bhubaneswar, Odisha, India

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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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