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Middle Machine Learning Engineer

Remote:

Full Remote

Contract:

Full time

Experience:

Mid-level (2-5 years)

Work from:

Kazakhstan

Offer summary

Qualifications:

At least 3 years of production experience as MLE, Solid understanding of AI/ML lifecycle phases, Practical knowledge of at least one major Cloud Provider, Proficiency in one CICD technology stack, 2+ years working in cross-functional teams using agile methodologies.

Key responsabilities:

Contribute to ML Pipeline development from ingestion to inference
Create and maintain ML pipeline steps
Assist in implementing ML prediction endpoints
Configure MLOps tools
Write specifications, documentation, and user guides for ML pipelines

EPAM Systems XLarge https://www.epam.com/

10001 Employees

See more EPAM Systems offers

Job description

We are seeking a Middle Machine Learning Engineer to join our dynamic team.

This role requires a professional with a blend of machine learning and data engineering skills who is ready to develop and implement transformative models. As part of our team, you will work alongside a diverse group of professionals, crafting innovative solutions and making significant contributions to the tech industry.

If you are passionate about solving complex problems and delivering impactful results, we invite you to apply and join us.

Responsibilities

Contribute to the ML Pipeline development (all steps from data ingestion to inference)
Create and maintain ML pipeline steps
Assist in the ML prediction endpoint implementation
Configure MLOps tools
Write specifications, documentation and user guides for developed ML pipelines

Requirements

At least 3 years of production experience working as an MLE, automating ML model pipelines
Solid understanding of AI/ML lifecycle phases
Practical knowledge of at least one of the major Cloud Providers such as AWS, GCP and Azure
Proficiency in at least one CICD technology stack (e.g., git, GitHub, GitHub Actions, Docker, etc.)
2+ years of production experience working in cross-functional teams on commercial projects using agile methodologies such as Scrum, Kanban, Lean or SAFe

Nice to have

Familiarity with the MLOps related platform/technology such as AWS SageMaker, Azure ML, GCP Vertex AI / AI Platform, Databricks MLFlow, Kubeflow, Airflow, TensorFlow Extended
Competency in the Apache Spark Ecosystem
Expertise in LLM/GenAI

We offer

We connect like-minded people:

Delivering innovative solutions to industry leaders, making a global impact
Enjoyable working environment, whether it is the vibrant office or the comfort of your home
Opportunity to work abroad for up to two months per year
Relocation opportunities within our offices in 55+ countries
Corporate and social events

We invest in your growth:

Leadership development, career advising, soft skills and well-being programs
Certifications, including GCP, Azure and AWS
Unlimited access to LinkedIn Learning, Get Abstract, O'Reilly, Cloud Guru
Free English classes with certified teachers
Discounts in local language schools, including online courses for the Kazakh language

We cover it all:

Participation in the Employee Stock Purchase Plan
Monetary bonuses for engaging in the referral program
Comprehensive medical & family care package
Six trust days per year (sick leave without a medical certificate)
Coverage of psychology sessions of your choice
Benefits package (sports activities, a variety of stores and services)

Unlock the potential of remote work in Kazakhstan, giving you the flexibility to work from home or access our offices in Astana, Almaty or Karaganda.

EPAM Kazakhstan is a team of technologists and innovators united by a passion for technology. Today, we operate across all cities with offices in Astana, Almaty, and Karaganda and work with the world's leading companies from different industries. In 2023, EPAM Kazakhstan received the Export Excellence Award at the esteemed Digital Bridge Awards, showcasing our commitment to excellence and innovation.