Machine Learning Engineer: Data Science and AI Platform Professional
hace 7 días
Job Summary
\The Machine Learning Engineering team at Capgemini Engineering is seeking a highly capable ML Platform Engineer to optimize rules-based and machine learning systems. As an engineer for the ML platform, you will be working at the intersection of machine learning, DevOps, and data engineering (MLOps).
\Main Responsibilities:
\- \
- Lead and consult with business stakeholders and data science teams to define data engineering and MLOps requirements.\
- Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.\
- Developing reusable data and feature stores for rules-based and AI/ML models.\
- Developing alerting tool frameworks for monitoring productionized model performance and effectiveness.\
- Automate deployments incorporating MLOps best practices into productionalized solutions.\
- Document frameworks and machine-learning processes. Build simple front-end reporting solution for shipboard engineers to consume the insights.\
- Work effectively with cross-functional teams to achieve project goals.\\/ul\
Requirements:
\- \
- 4-6 years of professional experience relevant to the role.\
- Experience building scalable machine learning systems and data-driven products working with cross-functional teams.\
- Well-developed software engineering fundamentals, including use of proper development, QA, and production environments, and the ability to write production-level code when needed.\
- Proficiency in Python and experience with common data analytics packages (e.g. Numpy, Pandas, Sklearn, PySpark).\
- Proficiency in Databricks & MLFlow.\
- Good communication skills and the ability to understand and synthesize requirements across multiple project domains.\\/ul\
Desired Skills:
\- \
- Python or Javascript web app development experience.\
- Experience in a large corporation or consulting firm.\
- Experience with IoT and/or sensor data.\\/ul\
About the Role
\This is a great opportunity for a talented individual who wants to work on challenging projects that drive business results. You will have the chance to develop your skills and knowledge in machine learning, data engineering, and DevOps.
\About Us
\Capgemini Engineering is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. We are committed to unleashing human energy through technology for an inclusive and sustainable future.
\Salary Estimate:
\We estimate the salary for this role to be around $140,000 - $180,000 per year, depending on location and experience.
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