AI/ML Developers

Tata Consultancy Services; Pune District, Mumbai, Chennai District; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Tata Consultancy Services in Pune invites a skilled AI/ML engineer to model, build, and test AI/ML software across varied inputs. You will apply LLMs and AI tools to enrich our SW/tools stack and integrate with data frameworks. Collaboration spans data science, simulation, and calibration specialists to expand the CoSimulation framework.

Your work includes prototyping AI/ML solutions, creating insightful visualizations of outputs, and driving forward with robust, real-world deliverables.

Qualifications

• 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.

Responsibilities

• Model, build and test AI/ML based software with diverse inputs.
• Utilize LLMs and AI/ML agents to advance SW/tools stack and connect to data frameworks.
• Collaborate with data scientists, simulation experts and calibration specialists to enhance CoSimulation framework.
• Prototype new AI/ML solutions aligned with evolving goals and future-proof technology stacks.
• Assist in visualizations and seek meaningful interpretations of AI/ML outputs.
• Challenge status quo to deepen understanding of data while delivering results.
• Navigate ambiguity and deliver grounded, practical outcomes.
• Lead and mentor team members toward common goals.

Skills

Data science

Statistics

Signal processing

Simulation frameworks

Problem-solving

Interpersonal skills

Communication

Tools

Python

JavaScript

C/C++

PyTorch

TensorFlow

Docker

Kubernetes

FastAPI

Cloud services

Job description

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 goa

Preferred candidate profile

• 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.