Senior Machine Learning Engineer

Epam

Malaga, Spain

hace 5 días

Creating infrastructure for managing the full ML lifecycle, including dataset management, model training, serving, version control, deployment and monitoring

Applying state-of-the-art research to automation and document processing models, including deep learning, federated learning and differential privacy

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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