Staff Machine Learning Engineer

Staff Machine Learning Engineer

Experience Range: 07 - 12 years

Location: Bengaluru, India

Seeking for a technically accomplished and forward-thinking Senior Machine Learning Engineer (MLE) to join the Enterprise Technology team. This role is ideal for professionals passionate about building and deploying cutting-edge generative AI (Gen AI) solutions that drive innovation across our diverse business units. You will lead the design, development, and deployment of scalable machine learning systems, including fine-tuning and customising foundation models (LLMs, diffusion models, GANs, transformers) for real-world applications. The role involves close collaboration with cross-functional teams to integrate GenAI into business use cases such as conversational AI, content generation, personalisation, and media synthesis. This is a hands-on role with opportunities to shape technical strategy, mentor junior engineers, and contribute to the safe and ethical deployment of GenAI technologies across global platforms.

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.

Basic Qualifications

• Minimum 07 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.
• Exposure to enterprise-scale ML environments and agile delivery models.