Lead LLM & Machine Learning Engineers (Python)

Company Description

MillionLogics, a trusted Oracle Partner, is a global IT solutions leader with headquarters in London, UK, and a dynamic development hub in Hyderabad, India. The company specialises in delivering smart, scalable, and future-ready IT solutions designed to help enterprises unlock growth and efficiency. With deep expertise in Oracle Cloud, Data & AI, and other cutting-edge technologies, MillionLogics provides tailored, results-driven IT services, including consulting, cloud solutions, and enterprise application optimisation. Backed by a team of over 40+ experts and a commitment to innovation, MillionLogics prioritises client success by creating transformative solutions that deliver real outcomes.

Role Overview :

MillionLogics is seeking a hands-on Machine Learning Engineering Manager to lead cross-functional teams building and deploying cutting-edge LLM and ML systems. In this role, you’ll drive the full lifecycle of AI development — from research and large-scale model training to production deployment — while mentoring top engineers and collaborating closely with research and infrastructure leaders.

You’ll combine technical depth in deep learning and MLOps with leadership in execution and strategy, ensuring that Turing’s AI initiatives deliver reliable, high-performance systems that translate research breakthroughs into measurable business impact.

This position is ideal for leaders who are still comfortable coding, optimising large-scale training pipelines, and navigating the intersection of research, engineering, and product delivery.

Roles & Responsibilities

• Lead and mentor a cross-functional team of ML engineers, data scientists, and MLOps professionals.
• Oversee the full lifecycle of LLM and ML projects — from data collection to training, evaluation, and deployment.
• Collaborate with Research, Product, and Infrastructure teams to define goals, milestones, and success metrics.
• Provide technical direction on large-scale model training, fine-tuning, and distributed systems design.
• Implement best practices in MLOps, model governance, experiment tracking, and CI / CD for ML.
• Manage compute resources, budgets, and ensure compliance with data security and responsible AI standards.
• Communicate progress, risks, and results to stakeholders and executives effectively.

Required Skills & Qualifications

Number of Positions : 10

Nice to Have

Perks of Working With MillionLogics :

Offer Details :

Evaluation Process (approximately 75 mins) :