Lead Machine Learning Engineer

Lead Machine Learning Engineer

Experience Range: 10 - 15 years

Location: Bengaluru, India

Key Responsibilities

• Collaborate with product managers, stakeholders, and engineering teams to define hypotheses and gather requirements.
• Design, develop, and deploy robust, scalable machine learning models for production applications.
• Research and integrate state-of-the-art GenAI models (e.g. GPT, T5, BERT, diffusion models, GANs) into business use cases.
• Drive innovation in areas such as conversational AI, media synthesis, personalisation, and agentic systems.
• Fine-tune and customise foundation models for specific domains and tasks.
• Implement best practices for GenAI safety, alignment, and ethical deployment.
• Stay current with GenAI research, open-source models, and industry trends.
• Lead ML components from ideation to deployment, collaborating across distributed teams.
• Design frameworks for agent development and cross-agent communication.
• Collaborate with software engineers, data scientists, and product managers to define success metrics.
• Review code, provide feedback, and mentor junior team members.
• Communicate technical concepts and project updates to stakeholders across varying technical backgrounds.

• Minimum 10 years of experience in machine learning engineering or a related role.
• Proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow, Hugging Face Transformers).
• Experience with supervised fine-tuning (SFT), parameter-efficient fine-tuning (PEFT), model evaluation, and data preparation.
• Strong understanding of MLOps, model monitoring, retraining, and guard railing.
• Excellent written and verbal communication skills.
• Ability to work independently and manage project-based goals across time zones.

Preferred Qualifications

• Experience with agentic architectures and multi-agent systems.
• Familiarity with GenAI safety frameworks and ethical deployment strategies.