Lead Machine Learning Engineer Remote
Lead Machine Learning Engineer Description
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!
#LI-DNI
Responsibilities
- 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
Requirements
- 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
Nice to have
- Hands-on experience with Databricks MLOps-related tools
- Familiarity with performance testing tools
- Understanding of containerization technologies
We offer
- 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
