Senior AI Developer

Senior AI Developer

8+ years

Location: The selected candidate is required to work onsite for the initial 1 to 3-month project training and execution period at either our Kovilpatti or Chennai location, which will be confirmed during the onboarding process. After the initial period, remote work opportunities will be offered.

The Senior AI Developer will be responsible for designing, building, training, and deploying

advanced artificial intelligence and machine learning models to solve complex business challenges

across industries. This role demands a strategic thinker and hands-on practitioner who can work at

the intersection of data science, software engineering, and innovation. The candidate will contribute

to scalable production-grade AI pipelines and mentor junior AI engineers within the Center of

Excellence (CoE).

Key responsibilities

· Design, train, and fine-tune deep learning models (NLP, CV, LLMs, GANs) for high-value

applications

· Architect AI model pipelines and implement scalable inference engines in cloud-native

environments

· Collaborate with data scientists, engineers, and solution architects to productionize ML

prototypes

· Evaluate and integrate pre-trained models like GPT-4o, Gemini, Claude, and fine-tune

based on domain needs

· Optimize algorithms for real-time performance, efficiency, and fairness

· Write modular, maintainable code and perform rigorous unit testing and validation

· Contribute to AI codebase management, CI/CD, and automated retraining infrastructure

· Research emerging AI trends and propose innovative applications aligned with business

objectives

Technical Skills

· Expert in Python, PyTorch, TensorFlow, Scikit-learn, Hugging Face Transformers

· LLM deployment & tuning: OpenAI (GPT), Google Gemini, Claude, Falcon, Mistral

· Experience with RESTful APIs, Flask/FastAPI for AI service exposure

· Proficient in Azure Machine Learning, Databricks, MLflow, Docker, Kubernetes

· Hands-on experience with vector databases, prompt engineering, and retrieval-augmented

generation (RAG)

· Knowledge of Responsible AI frameworks (bias detection, fairness, explain ability)

Qualification

· Master’s in Artificial Intelligence, Machine Learning, Data Science, or Computer

Engineering

· Certifications in AI/ML (e.g., Microsoft Azure AI Engineer, Google Professional ML

Engineer) preferred

· Demonstrated success in building scalable AI applications in production environments

· Publications or contributions to open-source AI/ML projects are a plus