Senior Machine Learning Engineer
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Role details
Tech stack
Job description
- Design, develop, and deliver applied machine learning and predictive modeling solutions
- Perform advanced statistical analysis to solve complex business and technical problems
- Build and optimize analytical and ML workflows on the Databricks platform
- Develop production-ready solutions using Python and SQL in cloud or clustered environments
- Collaborate closely with engineers, product partners, and domain experts to deliver high-impact solutions
Requirements
Our client, a technology-driven enterprise organization, is seeking a Senior Machine Learning Engineer with Data Analyst background to join their team. As a Senior Machine Learning Engineer, you will be part of the Data & Analytics organization supporting cross-functional product and engineering teams. The ideal candidate will have strong problem-solving skills, a hands-on delivery mindset, and the ability to communicate complex concepts clearly, which will align successfully in the organization., * Senior-level experience in Machine Learning Engineering with a background in Data Analytics with hands-on delivery
- Strong applied machine learning, predictive modeling, and statistical analysis expertise
- Proficiency with Databricks, Python, and SQL
- Experience building ML or analytical solutions in cloud or distributed compute environments
- Ability to ramp quickly and contribute immediately in a short-term engagement, * Opportunity to make immediate, hands-on impact in a senior delivery role
- Work alongside an experienced Data Scientist with deep product knowledge
- Exposure to modern ML tooling and distributed compute environments
- Flexible, fully remote contract engagement
- Ability to apply advanced ML skills in real-world, production use cases
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