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AI/ML - Developer

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Onsite

AI/ML - Developer

Tata Consultancy Services

AI/ML - Developer

Skills

SQL QueriesDockerPythonNumPypandasPyTorchTensorFlowMachine LearningAIAWSKubernetesNLP / Natural Language ProcessingAzure

3 days ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

18 October 2026

What they need


Role- AI/ML - Developer

Desired Experience Range- 5-8 Years

Location- Pan India

Job Summary

We are looking for an experienced AI/ML Developer to design, develop, train, and deploy machine learning and AI solutions. The candidate should have strong hands-on expertise in Python, machine learning algorithms, deep learning, data processing, model deployment, and MLOps.

Roles & Responsibilities-

  • Design and develop Machine Learning and AI models for business use cases.
  • Perform data preprocessing, feature engineering, model training, testing, and optimization.
  • Develop solutions using Python and ML frameworks such as Scikit-learn, TensorFlow, and PyTorch.
  • Build classification, regression, clustering, recommendation, and predictive models as required.
  • Develop and integrate AI/ML services using REST APIs.
  • Deploy ML models into production environments.
  • Implement MLOps practices for model versioning, CI/CD, monitoring, and retraining.
  • Work with structured and unstructured datasets.
  • Optimize model performance, scalability, and reliability.
  • Collaborate with Data Engineers, Data Scientists, Cloud Engineers, and business stakeholders.
  • Document model design, implementation, testing, and deployment processes.

Mandatory Skills

  • Python
  • Machine Learning
  • Artificial Intelligence
  • Scikit-learn
  • TensorFlow and/or PyTorch
  • Pandas / NumPy
  • SQL
  • Data preprocessing & Feature Engineering
  • Model Development & Deployment
  • REST APIs
  • Git
  • MLOps fundamentals

Good to Have

  • Generative AI / LLM knowledge
  • RAG
  • LangChain / LlamaIndex
  • Hugging Face
  • NLP / Computer Vision
  • Docker / Kubernetes
  • MLflow
  • Cloud AI/ML platforms such as AWS SageMaker, Azure Machine Learning, or Google Vertex AI.

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