Lead Machine learning Engineer

New York

Machine Learning

Permanent

Our client, an innovator in the eCommerce industry, is hiring a Lead Machine Learning Engineer to join their New York team remotely. The successful candidate will play a pivotal role in shaping the future of their marketplace by developing intelligent, data-driven products that enhance user experience and fuel business growth. This includes optimising search and ranking, building impactful recommendation models and developing scalable systems that serve millions of users.

Responsibilities

Lead the design, development and deployment of scalable machine learning models across key domains such as search relevance, advertising, pricing and recommendations.
Architect and implement robust, production-ready pipelines and REST APIs to deliver models at scale.
Partner closely with product managers, engineers and cross-functional stakeholders to translate business requirements into effective technical solutions.
Explore, prototype and assess new algorithms and emerging technologies to drive continuous innovation.
Take full ownership of machine learning initiatives, from ideation and data analysis through to deployment, monitoring and ongoing optimization.

Skillset

At least 5 years of hands-on experience developing and deploying machine learning models in production environments.
Deep knowledge of core ML techniques, including classification, regression, ranking and recommendation systems.
Proficiency in Python and modern ML frameworks such as Scikit-learn, TensorFlow or PyTorch.
Strong software engineering fundamentals, with experience building production-grade services and REST APIs.
Practical experience working with cloud platforms such as AWS, GCP or Azure.
Exposure to Large Language Models (LLMs) and their use in search, recommendations, or related applications is a big plus.
Familiarity with MLOps tools and practices, including platforms like MLflow or Kubeflow.
Experience working within e-commerce or online marketplace environments is a bonus.