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Machine Learning Engineer
hace 2 meses
We are seeking a highly skilled Machine Learning Engineer to join our team at Capgemini. As a Machine Learning Engineer, you will be responsible for developing and deploying machine learning models to drive business value.
Key Responsibilities- Collaborate with Data Scientists and IT teams to develop and implement machine learning models and algorithms.
- Perform data formatting and manipulation to ensure data is compatible with machine learning models.
- Collect and analyze data from diverse internal and external source systems to assess the effectiveness and accuracy of the data.
- Develop and write testing queries to ensure high-quality models.
- Set up Continuous Integration/Continuous Deployment (CI/CD) pipelines for machine learning models.
- Optimize machine learning models for high performance and scalability.
- Stay up-to-date with the latest machine learning techniques and technologies.
- Bachelor's or Master's degree in Data Science, Mathematics, Computer Science, Analytics, or a related field.
- 3+ years of experience in deploying machine learning models.
- Strong programming skills in Python and PySpark.
- Understanding of data models and relational databases.
- Experience with GitHub and MLOps is a must.
- Familiarity with CI/CD tools such as Jenkins is preferred.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration skills.
- Understanding of ML concepts, NLP, text analytics, and deep learning.
- Experience working with Azure is a plus.
Capgemini is a global leader in consulting, technology, and outsourcing services. We help our clients transform and succeed in a rapidly changing world. Our team of experts works with clients to identify and solve complex business problems, leveraging our global delivery model and advanced technologies to deliver high-quality results.
We offer a collaborative environment that embodies and holds the following stated values close to heart: Honesty, Boldness, Trust, Freedom, Team Spirit, Modesty, and Fun. We cultivate an atmosphere for development that enables you to be hands-on, planning for your growth, both horizontally and vertically.
