We are searching for a Senior Machine Learning Engineer to become part of our remote team. The role includes contributing to the design, development, and management of ML pipelines following industry best practices.

The position involves designing, building, maintaining, troubleshooting, and refining steps within the ML pipeline. You will also take ownership and contribute to the design and execution of ML prediction endpoints. Working alongside System Engineers to set up the ML lifecycle management environment and enhancing coding practices are crucial elements of this job.

If you have a passion for innovation, we encourage you to apply and join our team!
We accept CVs in English only.

• Contribute to the ML pipeline design, development, and management following best practices
• Design, build, maintain, troubleshoot, and refine steps in the ML pipeline
• Take ownership and contribute to the ML prediction endpoints' design and execution
• Work with System Engineers to set up the ML lifecycle management environment
• Draft specifications, documentation, and user guides for developed applications
• Enhance coding practices and organization within the science work cycle
• Set up and configure pipelines for projects
• Continuously identify technical risks and gaps and develop mitigation strategies
• Work with data scientists to put predictive models into production, understanding model scope and purpose, and creating scalable data preparation pipelines

• 3+ years of Python programming experience, including SQL knowledge
• Strong expertise in MLOps
• Intermediate knowledge in Data Science, Data Engineering, and DevOps Engineering
• Involvement in at least one project delivered to production in an MLE capacity
• Familiarity with the Apache Spark Ecosystem
• Proficiency with automated data pipeline and workflow management tools
• Experience with various data processing paradigms (batch, micro-batch, streaming)
• Practical experience with at least one major Cloud Provider
• Experience integrating ML models into complex data-driven systems

• Practical experience with Databricks MLOps-related tools
• Familiarity with performance testing tools
• Understanding of containerization technologies

• Learning Culture - We want you to be the best version of yourself, that is why we offer unlimited access to learning platforms, a wide range of internal courses, and all the knowledge you need to grow professionally
• Health Coverage - Health and wellness are important, that is why we have you and up to four family members in a premiere health plan. We have a couple of options, so you can choose what is best for you and your family
• Visual Benefit - Seeing your work for us would be a sight for sore eyes. We want your vision to always be at 100% which is why we offer up to $200.000 COP for any visual health expenses
• Life Insurance Plan - We have partnered with MetLife to offer a full-coverage Ife insurance plan. So, your family is covered, even if you are gone
• Medical Leave Coverage - We are one of the few companies that cover 100% of your medical leave, for up to 90 days. Your health is the most important thing to us
• Professional Growth Opportunities - We have designed a highly competitive and complete development process, where you will have all the tools to get where you have always wanted to be, personally and professionally
• Stock Option Purchase Plan - As an EPAMer you can be more than just an employee, you will also have the opportunity to purchase stock at a reduced price and become a part owner of our organization
• Additional Income - Besides your regular salary, you will also have the chance to earn extra income by referring talent, being a technical interviewer, and many more ways
• Community Benefit - You will be part of a worldwide community of over 50,000 employees, where you can learn, challenge yourself, stand out, and share your knowledge and experience with multicultural teams!