- Development of Machine Learning models for audience building and/or user profiling research as well as production-grade code base)
- Design, set up and maintenance of data and ML pipelines with MLOps tools, including analysis, exploration and processing of various data types
- Lead a team to deliver production-grade machine learning solutions with notable business impact from end to end
- Contribution to project planning
- Continuous knowledge development, tracking and implementation of the latest trends
- Contribution to creation of innovative technology by means of development of prototypes, proof of concepts, scientific publications and/or patent applications
- Delivering functional and technical documentation
- Communicate with various stakeholders to understand business requirements, manage expectations and create effective roadmaps
- Python
- Airflow
- AWS (including Airflow and SageMaker)
- TensorFlow
- PyTorch
- Excellent programming skills in Python
- 5+ years of experience in applying Data Science/Machine Learning on large scale datasets and building or maintaining ML pipelines
- Solid experience in deploying Python code for ML pipelines in production environment, especially cloud based (AWS preferred)
- Deep understanding of ML algorithms (both from a theoretical and practical perspective) with expert level knowledge of ML libraries (TensorFlow, PyTorch etc.) or experience in ML pipelines deployment solutions proven by knowledge of related tools: AWS (e.g. Airflow, EMR, Sagemaker), PySpark
- Working experience in SQL and NoSQL databases (e.g. Snowflake)
- Good knowledge of CI/CD principles (e.g.: GitHub and GitHub Actions)
- Master level degree in Machine Learning, Computer Science, Mathematics, Physics or related fields
- Command of English in speech and writing allowing free communication in cross-team international collaboration
- PhD in Machine Learning, Computer Science, Mathematics, Physics or related fields
- Experience in any of the following domains: recommendation systems, ads targeting, user profiling, churn prediction
- Familiarity with algorithms optimization (memory, processing speed, scalability, GPU)
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Machine Learning Engineering Leader - Łódź, Polska - HARMAN International
Opis
HARMAN's engineers and designers are creative, purposeful and agile. As part of this team, you'll combine your technical expertise with innovative ideas to help drive cutting-edge solutions in the car, enterprise and connected ecosystem. Every day, you will push the boundaries of creative design, and HARMAN is committed to providing you with the opportunities, innovative technologies and resources to build a successful career.
A Career at HARMAN
As a technology leader that is rapidly on the move, HARMAN is filled with people who are focused on making life better. Innovation, inclusivity and teamwork are a part of our DNA. When you add that to the challenges we take on and solve together, you'll discover that at HARMAN you can grow, make a difference and be proud of the work you do everyday.
Role and Responsibilities
Technologies in use
Skills and Qualifications
Nice to have
HARMAN is proud to be an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard torace, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
