Senior Machine Learning Engineer job at EPAM Systems, Inc. Remote, US

Job Description

Senior Machine Learning Engineer Description

Are you a Senior Machine Learning Engineer passionate about making a significant impact in the tech industry? We are seeking an individual with comprehensive knowledge in machine learning and data engineering who is ready to develop and implement groundbreaking models.

In this role, you will work alongside diverse teams to engineer strategic solutions beyond machine learning. Our workspace champions innovation and offers a supportive environment that promotes growth.

If you thrive on solving complex problems and delivering impactful results, we encourage you to and join us.

Feel free to work remotely from anywhere across Latvia or connect with colleagues at our Riga office.

#LI-DNI #top-vacancies-10-LV #top-vacancies-10-LV-jan-25#top-vacancies-10-LV-feb-25#top-vacancies-10-LV-mar-25#LI-HK1

Responsibilities

Convert machine learning models and algorithm prototypes into production-ready optimized ML pipelines
Contribute to ML pipeline design and development, including validation and cold start problems, A/B tests, feedback loop, etc
Create and maintain ML pipeline steps
Optimize/tune ML models and ML pipelines to meet production environment requirements
Automate key parts of CI/CD pipelines for ML pipelines
Collaborate with data scientists to fine-tune and optimize models
Write specifications, documentation and user guides for developed solutions
Integrate ML models into existing software systems or create new applications
Allocate activities to junior ML engineers and bring tasks to closure
Improve coding practices, support code reviews and introduce best practices for model management

Requirements

5 years of production experience working in an MLE role
At least one project delivered to production in an MLE role
Expertise in engineering best practices
Solid knowledge of Machine Learning fundamentals
Background in integrating ML models into complex data-driven systems
Familiarity with the Python ML ecosystem
Proficiency in at least one major Cloud Provider such as AWS, GCP and Azure
Experience with one of the MLOps-related platforms/technologies such as AWS SageMaker, Azure ML, GCP Vertex, Databricks MLFlow, Kubeflow or TensorFlow Extended

Nice to have

Competency in the Apache Spark Ecosystem
Expertise in LLM/GenAI

We offer

Engineering Heritage: Best-in-class experts sharing a culture of engineering excellence and tackling complex engineering challenges for over 30 years
Advanced Tech Stack: Innovative projects where you can or enhance your expertise in Cloud, Data, AI, and other emerging technologies
World-Class Clients: Work closely with 295+ of the Forbes Global 2000 on creating disruptive solutions that make a global impact
Professional Growth: Exceptional support for career development with comprehensive resources for upskilling or reskilling in pioneering practices
GenAI Community: Strong AI competencies with 600+ experts across 55+ locations driving GenAI-enabled transformation journeys
Entrepreneurial Culture: If you're passionate and dedicated to improving business transformation, we provide the support you need to bring your ideas to life
Hybrid Setup: The flexibility to work from any location in Latvia, whether it's your home or our office in Riga
Other Benefits: Additional vacation and trust days, private health insurance, Employee Stock Purchase Plan and more

Salary range €3.8K-€5.2K gross, based on your experience and interview results.

About EPAM

EPAM is a leading global provider of digital platform engineering and development services. For over 30 years, our team has helped leading brands navigate the waves of digital transformation, building solutions that help them stay competitive through constant market disruption.

With offices in 55+ countries, EPAM has grown in Latvia to over 888+ talented innovators in 3 years. We foster creativity and unconventional ways of doing things, welcoming like-minded professionals to join us.

Job Tags

Remote job, Home office,

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