Note: The job is a remote job and is open to candidates in USA. EPAM Systems is seeking a highly skilled Lead Python Machine Learning Engineer with expertise in Machine Learning, Deep Learning, and Natural Language Processing to support Python library updates while ensuring platform security, stability, and reliability. This role requires robust communication skills, with an emphasis on daily direct communication with the client.
Responsibilities
- Lead and mentor a team of engineers, fostering a culture of collaboration and technical excellence
- Establish efficient workflows and development processes to boost team productivity
- Enhance and maintain technical documentation ensuring clarity and consistency
- Refine team processes for seamless coordination and alignment with organizational goals
- Work closely with stakeholders and cross-functional teams to match technical efforts with business objectives
- Drive monthly updates for Deep Learning Python libraries while adhering to security standards
- Ensure the security, compatibility, and stability of Python libraries
- Troubleshoot and resolve code-related issues alongside team members
- Communicate requirements, updates, and concerns effectively with the client daily
- Increase test coverage for Python libraries to boost reliability and maintainability
Skills
- 3+ years of experience in Machine Learning, proficiency in Python
- Preparedness for a client interview as part of the selection process
- Extensive experience with NLP and Deep Learning frameworks like PyTorch, TensorFlow, and Transformers
- Strong understanding of secure coding practices and troubleshooting skills
- Fluent English communication skills at a B2+ level
- Familiarity with Keras
- Familiarity with NLTK
- Familiarity with NumPy
Benefits
- Diversity of assignments and projects
- Personal development plan
- Mentoring programs and leadership development
- Certification and professional development support
- Access to learning platforms including more than 2,500 internal courses and the LinkedIn Learning library with 20,000+ courses
- English courses taught by certified teachers
- Extra leave days
- Referral bonuses
- Private health insurance
- Recreation office zones with tea, coffee and snacks
- Sports and game consoles
- IT equipment and Microsoft's Software Assurance Home Use Program (HUP)
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