Job Description:

The Role:

We are at a pivotal time in our industry where simulation techniques are paving the way towards a digital revolution of our engineering tools and systems. As we transform and drive recent software content for our vehicles, our vision is one that strongly augments simulation techniques with AI/ML. This will enable maximum efficiency, increased robustness, optimized workflows, all scalable.
Towards this goal, we are creating dedicated teams to focus on AI/ML, data analytics, simulation, and automation frameworks for hardware, software and system design and development. This role is key and is specifically critical to building AI/ML models that can extract/learn from existing core information effectively.

Key Responsibilities / what youll do:

- Model, build and test AI/ML based software that is subject to a wide variety of complex inputs.
- Use your expertise in LLMs and/or AI/ML agents to help drive our SW/tools stack while mAI/MLntAI/MLning key connection to our data frameworks (existing calibration or development guides for example)
- Work collaboratively with a team of specialists ranging from data scientists, simulation experts and calibration technical specialists to cohesively build new capability into our existing CoSimulation framework
- Use your knowledge to prototype new AI/ML solutions that fit our goals as they evolve and we future proof our technology stacks.
- Contribute to visualizations of our work and strive for physical meanings/interpretations of the AI/ML outputs.
- Challenge the status quo continuously, with a mAI/MLn AI/MLm being to further our understanding of our data.




- Master ambiguity in a way that can leverage creative insights while remAI/MLning grounded in your deliverables.
- Lead and mentor others in the team towards a common goal

Qualifications and Required Skills:

- Good understanding of data science, advanced statistics, signal processing and simulation frameworks
- In depth knowledge of the core programming languages (Python, JavaScript, C/C++, etc.), as well as core AI/ML toolsets and libraries (PyTorch, TensorFlow, etc.)
- Understanding and track record of developing and deploying LLM & Deep learning models, for NLP
- Knowledge of RAG, generative AI/ML techniques, and Hybrid models are a plus.
- Knowledge of Full-Stack AI/ML Deployment (e.g. scalable ML pipelines (MLOps) using Docker, Kubernetes, FastAPI, cloud services, or other modern toolsets)
- Willingness to learn and continue developing knowledge in an up-and-coming field.
- Excellent problem-solving skills with the ability to thrive in a demanding, fast-paced work environment.
- Strong interpersonal and communication skills and a willingness to collaborate cross-functionally with different teams.

Education & Experience:

- Bachelors/ Masters degree in mathematics, Engineering, Physics, Computer Science, or a related field (PhD in LLM or NLP research is preferred).
- 5+ years in in LLM development, AI/ML-driven automation, or NLP solutions.

What Will Give You a Competitive Edge:

- Experience with Automotive SW development process
- Proven experience developing NLP solutions from a problem statement to deployment and ongoing refinement, including cloud solutions.
- Experience with advanced simulation or CoSimulation frameworks
- Knowledge of robust optimization techniques (GA’s, PSO, MDO, etc.)

📌 Sr. AI/ML Developer (Hyderabad)
🏢 Tata Consultancy Services
📍 Hyderabad