Lead ML Engineer

Company Description North Hires is a premier consulting firm specializing in custom software development, recruitment, sourcing, and executive search services. The company connects top-tier talent with leading organizations across the USA, UK, India, and EMEA, leveraging deep industry knowledge and an extensive professional network. North Hires offers a broad range of services, including RPO, virtual employees/agents, contingency and contract recruitment, proposal development, business development, and digital marketing solutions. Its mission is to empower businesses to thrive by providing outstanding human capital and to serve as a trusted consulting partner for organizations seeking exceptional talent and sustainable growth.
Role Description The Lead ML Engineer role at North Hires is a full-time, hybrid position based in Bengaluru, with flexibility for partial work from home. In this role, the Lead ML Engineer designs, builds, and deploys machine learning solutions, focusing on scalable architectures and production-grade systems for client projects. Daily responsibilities include developing and optimizing ML models, leading end-to-end experimentation pipelines, conducting data analysis, and implementing algorithms for tasks such as classification, prediction, and pattern recognition. The role also involves mentoring engineers, collaborating with cross-functional teams (data engineers, software developers, product stakeholders), and ensuring best practices in code quality, model evaluation, monitoring, and documentation. The Lead ML Engineer will contribute to technical strategy, evaluate emerging ML technologies, and support pre-sales or proposal activities when needed.
Qualifications
Minimum exp of 8yrs
Strong foundation in Computer Science and Algorithms, including data structures, algorithmic design, and software engineering principles.
Expertise in Pattern Recognition and Neural Networks, with experience in deep learning architectures and real-world model deployment.
Solid understanding of Statistics, probability, and experimental design for model evaluation, A/B testing, and performance analysis.
Hands-on experience with modern ML frameworks and tools (e.g., TensorFlow, PyTorch, scikit-learn, Spark ML, or similar).
Proficiency in programming languages commonly used for ML (such as Python) and familiarity with version control and CI/CD practices.
Experience building and deploying ML models into production environments (cloud platforms like AWS, GCP, or Azure are highly beneficial).
Demonstrated ability to lead technical projects, mentor team members, and collaborate effectively with cross-functional stakeholders.
Bachelor’s or Master’s degree in Computer Science, Data Science, or a related quantitative field, or equivalent practical experience.
Excellent communication skills and the ability to explain complex technical concepts to non-technical audiences.

Work arrangement
No