DESCRIPTION
We are looking for a Senior Machine Learning Engineer who will design and implement standardized processes and technology capabilities for ML systems. If you are experienced in defining strategies and tools - we have a hire-to-train offering for you.
What You'll Do
- Collaborate with the Data Science team and analyze their work from an ML engineering point of view
- Create a roadmap to bring ML artefacts to life
- Participate in the code review process
- Design and build reproducible ML pipeline end to end
- Analyze and communicate model performance
- Write reliable code that other software engineers can extend
- Stay up to date with current frameworks and suggest new ones
- Build a framework (coordination between teams, DevOps, Data Engineers, QA, MLE, DS)
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- Expertise in Python and its ecosystem
- Familiarity with ML, software engineering and distributed computing basics
- Background in DBMS and different data models (relational, columnar, document, etc.)
- Competency in building HTTP-based APIs for distributed systems
- Flexibility to use such machine learning tools as Pandas, Numpy, Scikit-Learn, TensorFlow, PyTorch, DeepAR, Prophet, Catboost, XGBoost, Spark, PySpark and such tasks as Time Series forecasting, Computer Vision, Recommendation Systems
- Understanding how web applications are created and organized
- Experience withcontinuous integrationand development
- We connect like-minded people:
- Delivering innovative solutions to industry leaders, making a global impact
- Enjoyable working environment, whether it is the vibrant office or the comfort of your home
- Opportunity to work abroad for up to two months per year
- Relocation opportunities within our offices in 50+ countries
- Corporate and social events
- We invest in your growth:
- Leadership development, career advising, soft skills and well-being programs
- Certifications, including GCP, Azure and AWS
- Unlimited access to LinkedIn Learning, Get Abstract, O'Reilly, Cloud Guru
- Free English classes with certified teachers
- We cover it all:
- Participation in the Employee Stock Purchase Plan
- Monetary bonuses for engaging in the referral program
- Comprehensive medical & family care package
- Four trust days per year for personal needs
- Discounts for fitness clubs
- Benefits package (hotels, restaurants, stores and services)
- EPAM Armenia is a team of 900+ talented innovators united by a passion for technology. In 2014, we opened our first office in Yerevan, and now we have a second engineering hub in Gyumri. We've built a continuously learning organization that helps its employees rapidly advance their careers. Here you will work with the world's industry leaders, support impactful projects using the latest technologies, collaborate with multi-national teams, and have access to a wide variety of development opportunities