We are in search of a seasoned Senior Machine Learning Engineer to join our remote team. As part of our team, you'll be required to design and establish standardized procedures for building, deploying, and overseeing Machine Learning systems rapidly and reliably. You'll also be tasked with providing leadership in defining and implementing tools and strategies that align with internal and external stakeholders.
We accept CVs in English only.

#LI-DNI#LI-AP13

Responsibilities

• Contribute to the refinement, establishment, and operational lifecycle of ML pipelines using industry best practices
• Design, create, maintain, troubleshoot, and enhance steps in ML pipelines
• Own and contribute to the design and execution of ML prediction endpoints
• Collaborate with System Engineers to establish an ML lifecycle management environment
• Draft specifications, documentation, and user guides for developed applications
• Support the enhancement of coding practices and organization of scientific work cycle repositories
• Set up pipelines for different projects
• Regularly identify technical risks and gaps and formulate risk mitigation strategies
• Collaborate with data scientists to transition predictive models into production, creating scalable data preparation pipelines, and understanding model scopes and purposes

• Minimum of 3 years of experience as a Machine Learning Engineer or in a similar capacity
• Strong proficiency in programming languages, particularly Python
• Solid grasp of Data Science principles and Machine Learning Engineering model creation experience
• Expertise in Engineering Best Practices
• Comprehensive understanding of Machine Learning fundamentals
• Hands-on experience implementing Data Products using technologies like the Apache Spark Ecosystem (Spark SQL, MLlib/Spark ML) or equivalent technologies
• Experience with Big Data technologies such as Hadoop, Spark, Kafka, Cassandra, GCP BigQuery, AWS Redshift, Apache Beam, etc
• Experience with automated data pipeline and workflow management tools like Airflow, Argo Workflow, etc
• Familiarity with different data processing paradigms (batch, micro-batch, streaming)
• Practical experience with one or more major Cloud Providers such as AWS, GCP, or Azure
• Experience with at least one MLOps-related platform/technology such as AWS SageMaker, Azure ML, GCP Vertex AI/AI Platform, Databricks MLOps-related tools/technologies like MLFlow, Kubeflow, TensorFlow Extended (TFX)
• Experience integrating ML models into complicated data-driven systems in a production environment
• Fluent in English with a B2+ level

• AWS, GCP, or Azure Certified would be a significant advantage
• Aptitude for rapidly adapting and applying new technologies
• Experience in a startup/environment, demonstrating the ability to deal with ambiguity

• 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!