Lead Machine Learning Engineer

Role Overview

The Lead Machine Learning Engineer works collaboratively to design and develop machine-learning-based solutions for clients. This role is mission-critical, leading project teams, shaping project scopes, and working directly with clients to iterate on solutions. While not a direct people manager, the Lead ML Scientist serves as a technical team lead, providing mentorship, guidance, and strategic direction to team members to ensure successful project delivery. They are responsible for bringing together state-of-the-art solutions to solve our clients' most pressing problems.

Core Responsibilities

• Conduct research and development on AI/ML models to solve complex technical challenges.
• Design, train, and optimize machine learning models for performance, scalability, and efficiency.
• Experiment with state-of-the-art AI techniques, such as deep learning, reinforcement learning, and generative models.
• Work closely with engineers and scientists to integrate models into production environments.
• Analyze and preprocess large datasets to improve model accuracy and robustness.
• Stay updated with advancements in AI and ML and apply new findings to ongoing projects.
• Ensure AI models adhere to ethical AI practices, fairness, and interpretability principles.
• Contribute to technical documentation and research publications when applicable.
• Strong problem-solving skills and analytical thinking.
• Ability to work independently and collaborate with cross-functional teams.
• Effective communication skills for discussing technical concepts and findings.
• Act as a technical lead by guiding and mentoring team members, providing feedback, and fostering collaboration.
• Help shape project scopes, drive technical discussions, and ensure alignment with business goals.

Experience / Qualifications

• Master’s or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field.
• 6+ years of hands-on AI/ML experience, with increasing leadership responsibilities.

Technical Skills

• Strong proficiency in ML tools (e.g., PyTorch, Scikit-learn, Huggingface).
• Advanced programming skills in Python; experience with R and/or C++ is a nice to have.
• Deep understanding of machine learning algorithms, statistical modelling, and optimisation techniques.
• Experience scoping and leading machine learning projects from scoping/design through deployment/monitoring.
• Experience deploying ML models in production environments.
• Experience with cloud-based ML infrastructure (AWS, GCP, Azure) and MLOps practices/tools.

Leadership & Soft Skills

• Strong mentorship abilities and a passion for helping others grow.
• Ability to influence technical strategy without direct managerial authority.
• Effective communication skills to present complex ML concepts to diverse audiences.
• Problem-solving mindset and ability to work cross-functionally with different teams.

Impactron Benefits

Impactron offers an exciting opportunity to become an integral part of a rapidly growing consulting organisation and grow rapidly with it. Impactron offers competitive salaries and excellent incentives, with a strong focus on the physical, financial, and mental well-being of employees. At impactron, you'll work on some of the most prominent organisations across the globe and will work as a trusted advisor to them.

There is great potential for developing your career in this early-stage, fast-growing consulting organisation founded by seasoned entrepreneurs who have decades of experience in building, exiting, and running multiple successful organisations. 

Company Description

Impactron Global is a UK-based IT consulting company that operates global capabilities centres (GCCs) in India for our global clients. We are setting up an India centre for a leading data and artificial intelligence (AI) consultancy in the US. They help businesses build the strategy, technology, and teams they need to scale growth and efficiency. You’ll be joining a team of skilled Data Engineers, Data Scientists, Machine Learning (ML) Experts, and AI Engineers who seamlessly integrate with client teams to solve their most challenging business problems.

Leveraging strategic partnerships with Snowflake, AWS, Matillion, Fivetran, Pyramid Analytics, and more, the company uses modern technology, scalable architectures, and industry best practices. This consultancy is a uniquely powerful business partner to the enterprise, with a talent mix that is nearly impossible to find under one roof. It is a fast-growing firm with significant career opportunities for motivated professionals who want to help create a unique company.