AI ML Developer

Tata Consultancy Services; Dadri, New Delhi; On-site; INR 1,500,000 - 2,800,000; Full time

Job summary

Tata Consultancy Services in India is seeking an AI/ML Engineer to design, train, and optimize AI/ML models for diverse use cases such as text summarization, image matching, and speech recognition. The role requires hands-on development with Python, C++, and ML frameworks, plus data preprocessing, experimentation, and documentation to improve accuracy and latency.

You will collaborate with data scientists and engineers to deploy models in production while adhering to responsible AI guardrails

Qualifications

• B.Tech / M.Tech in Computer Science, AI, Data Science, or equivalent.
• Professional certification in machine learning or deep learning preferred.
• Research papers, case studies, or significant open-source contributions (are preferred)

Responsibilities

• Develop, train, and optimize AI/ML models for use cases like text summarization, image matching, and speech recognition.
• Implement feature engineering pipelines and data pre-processing modules.
• Conduct experiments and document results to improve model accuracy and latency.
• Collaborate with Data Scientists and Engineers to deploy AI models in production.
• Perform error analysis and debugging to improve model stability.
• Ensure model outputs comply with Responsible AI guardrails and data protection norms.
• Support integration of AI components into existing government applications.

Skills

Hands-on AI/ML development

NLP & CV basics

Model deployment

Education

B.Tech / M.Tech in CS/AI/Data Science

Certification in ML/DL preferred

Research papers/open-source contributions preferred

Tools

PyTorch

TensorFlow

Keras

Hugging Face

Docker

SageMaker

MLflow

Git

Job description

AI / ML Engineer

Designation: AI / ML Engineer

Educational Qualification:

• B.Tech / M.Tech in Computer Science, AI, Data Science, or equivalent.
• Professional certification in machine learning or deep learning preferred.
• Research papers, case studies, or significant open-source contributions(are preferred)

Experience:

• 47 years of hands‑on experience in developing and fine-tuning AI/ML models.
• Practical exposure to NLP, computer vision, or predictive analytics projects.
• Demonstrated experience in implementing AI solutions using open-source or cloud frameworks.

Key Responsibilities:

• Develop, train, and optimize AI/ML models for various use cases such as text summarization, image matching, and speech recognition.
• Implement feature engineering pipelines and data pre-processing modules.
• Conduct experiments and document results to improve model accuracy and latency.
• Collaborate with Data Scientists and Engineers to deploy AI models in production.
• Perform error analysis and debugging to improve model stability.
• Ensure model outputs comply with Responsible AI guardrails and data protection norms.
• Support integration of AI components into existing government applications.

Technical Competencies:

• Programming Languages: Python, C++, R.
• Frameworks: PyTorch, TensorFlow, Keras, Hugging Face.
• Libraries: pandas, NumPy, OpenCV, spaCy, Transformers.
• Data Handling: SQL, NoSQL, data augmentation techniques.
• Cloud & Tools: Docker, SageMaker, MLflow, Git.
• Evaluation Metrics: F1, BLEU, ROUGE, AUC, precision-recall curves