5 - 10 years

11 - 21 Lacs

Hyderabad Chennai Bengaluru

Posted:4 days ago| Platform: Naukri logo

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Job Description

TATA CONSULTANCY SERVICES!!!

TCS is hiring for Generative AI Engineer

Role:

Experience Range:

Location:

Notice Period:

Required Technical Skill Set:

Must have:

  • 5-7 years of experience in architecting, positioning and delivering data science and machine learning
  • Experience with Supervised and Unsupervised learning algorithms, good to have experience on Classification algorithms
  • Experience with Document Type classifier, Pattern matching and PII identification
  • Hands on experience in model training, drift detection and feature generation
  • Strong proficiency in Python and ML libraries (PyTorch, TensorFlow, Hugging Face Transformers).
  • Expertise in LLMs, transformer architectures, and generative modeling.
  • Experience with MLOps tools (MLflow, Kubeflow) and deployment on cloud platforms (GCP, AWS, Azure).
  • Familiarity with prompt engineering, RAG systems, and vector databases.
  • Knowledge of containerization (Docker, Kubernetes) and distributed computing.
  • Ability to identify network attacks and systemic security issues as they relate to threats and vulnerabilities, with focus on recommendations for enhancements or remediation
  • Dev-ops and application security & data security experience
  • Securing highly available internet banking application

Roles &

  • Model Development & Deployment

    • Design and fine-tune generative models (e.g., GPT, Stable Diffusion, GANs).
    • Implement inference pipelines for real-time and batch generation.
    • Build APIs and interfaces for model integration into applications.
  • Data & Training Pipelines

    • Develop scalable data pipelines for training and evaluation.
    • Optimize model performance and reduce computational costs.
    • Monitor and address bias, hallucination, and reliability issues.
  • Collaboration & Integration

    • Work with cross-functional teams to integrate GenAI into products.
    • Translate business requirements into technical solutions.
    • Stay updated with research and contribute to experimentation.
  • Security & Compliance

    • Implement privacy-preserving techniques (e.g., differential privacy, federated learning).
    • Ensure compliance with data security and regulatory standards.

Kindly attach the updated CV

Thanks & Regards

Malleswari M

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