Senior MLOps Engineer
EPAM Systems
Remote
Posted on Friday, February 23, 2024
Senior MLOps Engineer 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!
SEE YOURSELF IN THIS ROLE
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!
What You’ll Do
- 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
What You Have
- 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
- Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field
We Offer
- We gather like-minded people:
- Friendly team and enjoyable working environment
- Engineering community of industry’s professionals
- 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
- Language classes on English and Polish for foreigners
- We cover it all:
- Stable income (Employment Contract or B2B)
- Participation in the Employee Stock Purchase Plan
- Referral bonuses
- Benefits package (health insurance, multisport, shopping vouchers)
- Strategically located offices featuring entertainment and relaxation zones, table tennis and football, free snacks, fantastic coffee, and many more
- Corporate and social events
- We may contact chosen candidates only
About EPAM
- EPAM Systems Inc. (EPAM) is a leading digital transformation services and product engineering company. Since 1993, we have used our software engineering expertise to become a leading global provider of digital engineering, cloud and AI-enabled transformation services, as well as a leading business and experience consulting partner for global enterprises and ambitious startups. We address our clients’ transformation challenges by fusing EPAM Continuum’s integrated strategy, experience and technology consulting with our 30+ years of engineering execution to speed our clients’ time to market and drive greater value from their innovations and digital investments. Learn more at www.epam.com