We are seeking a Senior Machine Learning Engineer to join our remote team. This role involves contributing to the design, development, and operation of ML pipelines based on best practices.

You will be responsible for designing, creating, maintaining, troubleshooting, and optimizing steps within the ML pipeline, as well as owning and contributing to the design and implementation of ML prediction endpoints. Collaborating with System Engineers to configure the ML lifecycle management environment and supporting the improvement of coding practices will be key aspects of your role.

If you are passionate about innovation, we invite you to apply and become part of our team!
We accept CVs in English only.

• Contribute to the design, development, and operation of the ML pipeline based on best practices
• Design, create, maintain, troubleshoot, and optimize steps in the ML pipeline
• Own and contribute to the design and implementation of ML prediction endpoints
• Collaborate with System Engineers to configure the ML lifecycle management environment
• Write specifications, documentation, and user guides for developed applications
• Support the improvement of coding practices and organization within the science work cycle
• Establish and configure pipelines for projects
• Identify technical risks and gaps continuously, and devise mitigation strategies
• Collaborate with data scientists to productionalize predictive models, understanding the scope and purpose of models, and creating scalable data preparation pipelines

• 3+ years of Python programming experience with strong SQL knowledge
• Strong MLOps experience (e.g., Sagemaker, Vertex, Azure ML)
• Intermediate level in Data Science, Data Engineering, and DevOps Engineering
• Experience with at least one project delivered to production in an MLE role
• Experience with the Apache Spark Ecosystem (e.g., Spark SQL, MLlib/SparkML)
• Experience with automated data pipeline and workflow management tools (e.g., Airflow)
• Experience in different data processing paradigms (batch, micro-batch, streaming)
• Practical experience working with at least one of the major Cloud Providers (AWS, GCP, Azure)
• Production experience in integrating ML models into complex data-driven systems

• Practical experience with Databricks MLOps-related tools (e.g., MLFlow, Kubeflow)
• Experience with performance testing tools (e.g., JMeter)
• Knowledge of containerization technologies (e.g., Docker)

• 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!