Note: The job is a remote job and is open to candidates in USA. EPAM Systems is seeking a skilled Python Engineer specializing in Machine Learning Engineering to deliver cutting-edge solutions and support the development of innovative products. The role involves participating in the full-cycle application development and collaborating with cross-functional teams to build integrations with other client systems and applications.
Responsibilities
- Participate in full-cycle application development, including design, implementation, testing, and deployment of Python-based machine learning solutions
- Collaborate with cross-functional teams to build integrations with other client systems and applications
- Communicate with clients to gather and clarify technical requirements
- Identify and resolve technical challenges, escalating issues when necessary
- Conduct and contribute to code reviews to ensure maintainable and high-quality code
- Implement functionalities and workflows based on design specifications
- Drive team collaboration and knowledge-sharing processes
Skills
- Minimum 4 years of software development experience with a strong foundation in Python
- Knowledge of OOP, design patterns, Python coding standards, and best practices
- Expertise in at least one Machine Learning area: Data Governance, MLOps, Computer Vision, NLP, LLM, or Reinforcement Learning
- Familiarity with Computer Vision tools like EasyOCR, Tesseract, and AWS Textract or NLP tools like NLTK, spaCy, or transformers, or Reinforcement Learning libraries like Stable Baselines, Dopamine, or RLlib
- Proficiency in both relational databases (PostgreSQL, MySQL, Snowflake) and non-relational databases (Hive, AWS Aurora)
- Understanding of cloud platforms such as AWS, GCP, or Azure
- Capability to work with message brokers like Kafka, RabbitMQ, or AWS Kinesis
- Skills in containerization and orchestration tools such as Docker and Kubernetes
- Good English communication skills for collaborative team environments
Benefits
- Career development opportunities with a transparent career path
- Wide range of professional trainings, workshops, and mentoring programs plus unlimited access to LinkedIn Learning
- Learning resources and financial support for completing certification programs
- Christmas and Vacation bonus
- Corporate Health Insurance (basic and supplementary)
- Free yearly medical check-ups
- 25 days of vacation
Company Overview
Company H1B Sponsorship