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!

#LI-DNI

Responsibilities

• 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

• Improved medical coverage - EPAMers are eligible to participate in a supplementary health insurance program that shall have the usual coverage in the industry, with the Company funding 100% of the value of the monthly premium for participation
• Lunch Allowance - You will receive a daily allowance of CLP $ 7.000 per working day. Enjoy a nice meal on us
• Allowance for internet and electricity - You will receive an allowance of CLP$15.000 per month to cover internet and electricity expense
• National Holiday Bonus - We celebrate joining the Chilean Market. That is why all our employees will receive a bonus of CLP $86,646 in September
• Christmas Bonus - You will receive an End of Year bonus of CLP $170,539. It will be paid during the month of December, to ensure you have a Happy Holiday!
• 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
• 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
• Are you open to relocation? - If you want to relocate to another country and we have the right project, we will assist you every step of the way, to help you and your family, reach your new home