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

Requirements

• 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

Nice to have

• 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

We offer

• 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!