Lead – Generative AI / Machine Learning / Artificial Intelligence

Lead and mentor a team of AI/ML engineers and researchers.

Architect and deploy scalable Generative AI solutions (e.g., LLMs, diffusion models, transformers).

Design and implement end-to-end machine learning pipelines, including data preprocessing, model training, validation, and deployment.

Work with large-scale datasets to develop, fine-tune, and evaluate models.

Collaborate with product, design, and engineering teams to integrate AI capabilities into applications.

Stay current with the latest research, tools, and trends in AI/ML, and recommend adoption where applicable.

Conduct technical reviews and provide guidance on best practices in AI model development.

Ensure ethical, secure, and responsible AI development.

5–10 years of hands-on experience in AI/ML, including leadership responsibilities.

Strong understanding of deep learning , NLP , computer vision , or generative models .

Proven experience with Generative AI frameworks (e.g., OpenAI, HuggingFace, LangChain, Diffusers).

Proficient in ML libraries and tools such as TensorFlow , PyTorch , scikit-learn , Keras , etc.

Solid programming skills in Python ; experience with other languages like Java , C++ , or Go is a plus.

Familiarity with cloud platforms (AWS, GCP, Azure) and MLOps practices.

Experience deploying models in production environments (APIs, microservices, containers).

Strong problem-solving, communication, and analytical skills.

Research contributions or publications in AI/ML conferences or journals.

Experience working with multi-modal models (text + image + audio).

Knowledge of Reinforcement Learning , Prompt Engineering , or AutoML .

Exposure to data governance , model explainability , and AI ethics .

Competitive salary

Medical Benefits/Accident Cover

Flexi Office Working Hours

Fast paced start up