Lead Data Scientist for Machine Learning Workflow Optimization
2 days ago
We are GetInData, part of Xebia, a dynamic and innovative company that values collaboration, creativity, and expertise. Our mission is to empower businesses through data-driven solutions, leveraging cutting-edge technologies to drive growth and success.
Job DescriptionWe are seeking an exceptional Senior ML Engineer to join our team As a key member of our organization, you will play a pivotal role in developing and optimizing machine learning models, workflows, and pipelines. Your expertise will be instrumental in streamlining our project lifecycles, ensuring reproducibility, and providing reliable experiment tracking.
Key Responsibilities:- Machine Learning Model Development: Design, implement, and optimize machine learning algorithms to solve complex business problems.
- Workflow Automation: Collaborate with stakeholders to automate workflows, implement CI/CD pipelines, and ensure seamless model deployment.
- Infrastructure Setup: Work closely with platform engineers to set up efficient infrastructure required for MLOps processes.
- Strong proficiency in Python with experience in NumPy, Pandas, and SciPy.
- Experience in writing advanced SQL queries.
- Comfortable using Git and containerization technologies like Docker.
- Familiarity with Google Cloud Platform (or other cloud services).
- Understanding of fundamental statistical concepts, including Bayes' rule, linear regression, and maximum likelihood estimation.
- Knowledge of Airflow, Kedro, and Kubernetes.
- A dynamic and supportive work environment.
- Opportunities for growth and professional development.
- A competitive salary and benefits package.
- A range of perks, including sport subscription, private healthcare, and more.
If you are a motivated and experienced Senior ML Engineer looking for a new challenge, we encourage you to apply. Join us in shaping the future of data-driven solutions and contributing to our company's continued success.
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