Senior Machine Learning Engineer
hace 4 días
**Responsibilities**:
- Creating infrastructure for managing the full ML lifecycle, including dataset management, model training, serving, version control, deployment and monitoring
- Building systems to manage and document our repository of models to support explainability and Model Risk Management (MRM)
- Bridging model-building and production by translating the work of ML scientists from environments such as Jupyter notebooks to modular, Enterprise-grade software packages
- Supporting data/AI research scientists to run experiments at scale on our in-house ML Ops platform
- Working on cross-functional teams including product management, AI/data scientists and engineering to build out technical requirements for our ML products
- Contributing to model monitoring and deployment capabilities in our ML Ops platform
- Assisting in vendor evaluations for build vs. buy and partnership opportunities
**Requirements**:
- Strong software engineering experience and proficiency in Python
- Solid understanding of design patterns and OOP
- High-level understanding of machine learning and deep learning techniques (image and document processing is a plus)
- Hands on experience with contemporary deep learning tools and frameworks including PyTorch, TensorFlow, KubeFlow, Scikit-learn, Pandas
- Experience with cloud computing (AWS, Google Cloud, Azure)
- Familiarity with DevOps tools and container orchestration (Kubernetes, Docker, Jenkins)
- Experience working with parallel/distributed computing using CPUs/GPUs
- Strong communication skills and excellent software engineering habits, including documenting code, working with teammates on pull requests, and contributing to team engineering culture and best practices
- Experience working on Agile, self-organizing teams, writing user stories
**Nice to have**:
- WorkFusion RPA experience
- WorkFusion Certification
**We offer**:
- Extended opportunity to grow professionally in a cross-cultural environment
- Access to various on-line courses from leading provider
- Access to engineering communities on a global scale
- Unlimited access to LinkedIn learning solutions
- Social benefits in line with local legislation
- Health insurance and meal vouchers programs
- Special discount program for EPAMers with providers across Malaga and in other cities around the world
- Regular team collaboration events
- Office in a good location with easy access
- Referral bonuses
- Relocation support (for people from other countries)
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