We are looking for a Lead Machine Learning Engineer to be part of our remote team, focusing on the design, development, and management of ML pipelines in accordance with industry best practices.

In this position, you will take charge of designing, building, maintaining, troubleshooting, and refining steps in ML pipelines. You will also play a key role in the development and implementation of ML prediction endpoints. Additionally, you will work with System Engineers to set up environments for ML lifecycle management and enhance coding standards.

If you are driven by innovation, we encourage you to apply and become a member of our team!
We accept CVs in English only.

#LI-DNI

• Contribution to the design, development, and management of ML pipeline lifecycle
• Design, creation, maintenance, troubleshooting, and refinement of ML pipeline steps
• Leadership and contribution to the design and implementation of ML prediction endpoints
• Partnering with System Engineers to set up ML lifecycle management environments
• Authoring specifications, documentation, and user guides for applications
• Assistance in enhancing coding practices and organizing repositories
• Setup and configuration of pipelines for various projects
• Proactive identification of technical risks and gaps, with strategies for mitigation
• Collaboration with data scientists to operationalize predictive models and develop scalable data preparation pipelines

• 5+ years of Python programming experience with strong SQL skills
• 1+ year of relevant leadership experience
• In-depth MLOps experience
• Intermediate expertise in Data Science, Data Engineering, and DevOps Engineering
• Proven track record of deploying at least one project in an MLE capacity
• Familiarity with the Apache Spark Ecosystem
• Skilled in automated data pipeline and workflow management tools
• Familiarity with various data processing paradigms (batch, micro-batch, streaming)
• Hands-on experience with at least one major Cloud Provider
• Experience in integrating ML models into complex data-driven systems

• Hands-on 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!