Python Engineer (Machine Learning Engineering)
We are seeking a skilled Python Engineer specializing in Machine Learning Engineering to deliver cutting-edge solutions and support the development of innovative products.
Thank you for your interest in this position. Please note that only candidates whose experience closely matches the job requirements will be contacted. If you do not receive an email from us, please do not be discouraged—feel free to apply for other positions that better align with your experience. If you have any questions, you can reach us at jobserbia@epam.com.
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
Requirements
- 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
Nice to have
- Background in relational database management systems like AWS Redshift
- Familiarity with relational database services, including AWS Aurora
