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.

#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

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
Paid Holidays - We offer paid time off during all national holidays (working and non-working) for a total of 15 days. On top of that, you will also have vacation days to enjoy quality time with your family or just rest
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!
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