Develop end-to-end pipelines with strong understanding of AI lifecycle, cloud platforms, and business problems
Leverage data insights to contribute to the strategic direction of our products, identifying opportunities for new features, improvements, and optimizations
Partner effectively with product, engineering, operations, and other business teams to understand their needs, translate them into analytical requirements, and present findings and recommendations with clarity and impact
Automatization of re-training models, maintain and build model tracking systems
Monitor model performance and provide recommendations for model performance improvement
Work closely with data engineering and data science team on consulting and defining best coding practice
Write technical documentation and reports to communicate process and results
Work with large amounts of structured and unstructured data

8+ years of experience in a product development in data science team
Experienced in continuous deployment of predictive models or ML systems in a cloud environment (i.e AWS:SageMaker, ECS, S3, GCP)
Expert-level proficiency in database technologies (SQL, NoSQL, data warehousing concepts) with the ability to write highly optimized and complex queries
Advanced programming skills in Python or R for data manipulation, statistical analysis, and automation are highly desirable
Practical experience with main ML frameworks (scikit-learn, XGBoost) and experience with deep learning frameworks (PyTorch, TensorFlow, MXNet, etc.)
Strong background working with predictive and statistical modeling, machine learning and strong expertise in all phases of the modeling pipeline
Excellent knowledge of statistics and machine learning basics
Experienced with building CI/CD pipelines orchestration (MLflow or similar tools)
Experienced in distributed storage / distributed compute environments (i.e. Databricks, Spark, PySpark)
Solutions-focused problem solver who always sees a path forward to success
Exceptional communicator with the ability to build relationships with anyone
Organized with fantastic attention to detail, aiming higher each day
Always acts with integrity and operates with strong moral principles
Ability to work in a fast-paced environment supporting a rapidly growing technology company with multiple moving parts

Senior Machine Learning Engineer

Key skills