Description

We are seeking a skilled and experienced Machine Learning Operations Engineer with a solid background in Python programming. If you're passionate about streamlining machine learning model development and deployment processes, ensuring scalability, efficiency, and reliability, then this role is tailored for you! As our Machine Learning Operations Engineer, you'll play a pivotal role in revolutionizing our machine learning workflows. Collaborating closely with data scientists and machine learning engineers, you'll create robust, production-level machine learning pipelines and infrastructure. Your expertise will be crucial in automating and monitoring machine learning workflows, optimizing operations, and integrating models into production systems seamlessly. It is a fully remote position offering you the flexibility to work from any location in Poland, whether it's your home or one of our well-equipped offices in Gdansk, Katowice, Krakow, Lodz, Warsaw, or Wroclaw. Ready to take your career to the next level? Apply now and seize this exciting opportunity!

Responsibilities

Streamline and automate the deployment of machine learning models into production environments Collaborate with data scientists and engineers to ensure seamless model integration Develop and manage continuous integration and deployment (CI/CD) pipelines for machine learning projects Design and maintain scalable machine learning infrastructure, leveraging cloud platforms and containerization technologies Optimize computational resources to handle large-scale data processing and model training efficiently Monitor machine learning models in production, ensuring their reliability and performance Perform regular maintenance and updates to machine learning systems and pipelines Work closely with cross-functional teams to incorporate best practices in machine learning operations Provide insights and recommendations for improving machine learning workflows and infrastructure Create detailed documentation for machine learning operations processes and systems Report on the status, performance, and impact of machine learning models in production Requirements

Proven experience as an ML Ops Engineer, Data Engineer, or in a similar role focusing on machine learning model deployment and operations Proficiency in Python programming, specifically for machine learning applications Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries Familiarity with CI/CD tools and practices, containerization (Docker, Kubernetes), and cloud computing platforms (AWS, Azure, GCP) Understanding of data engineering principles and practices Fluent English proficiency (B2 level) Knowledge of machine learning model lifecycle management Ability to troubleshoot complex technical issues in machine learning systems Excellent communication skills for effective collaboration with technical and non-technical teams Ability to work independently as well as collaboratively in a team setting Bachelors or Masters degree in Computer Science, Data Science, Engineering, or a related field We offer

We gather like-minded people: Engineering community of industry professionals Friendly team and enjoyable working environment Flexible schedule and opportunity to work remotely within Poland Chance to work abroad for up to 60 days annually Relocation within our 50+ offices We provide growth opportunities: Outstanding career roadmap Leadership development, career advising, soft skills, and well-being programs Certification (GCP, Azure, AWS) Unlimited access to LinkedIn Learning, Get Abstract, OReilly, Cloud Guru Language classes in English and Polish for foreigners We cover it all: Stable income (Employment Contract or B2B) Participation in the Employee Stock Purchase Plan Benefits package (health insurance, multisport, shopping vouchers) Strategically located offices featuring entertainment and relaxation zones, table tennis and football, free snacks, fantastic coffee, and more Referral bonuses Corporate, social and well-being events Please, note: The set of bonuses might vary based on the role you apply for specifics will be discussed with our recruiter during the general interview We will reach out to selected candidates exclusively EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.