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Middle Machine Learning Engineer

Remote: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

At least 3 years of experience as an MLE, Solid understanding of AI/ML lifecycle, Practical knowledge of major Cloud Providers, Proficiency in a CICD technology stack, 2+ years working in cross-functional teams.

Key responsabilities:

  • Contribute to the ML Pipeline development
  • Create and maintain ML pipeline steps
  • Assist in the ML prediction endpoint implementation
  • Configure MLOps tools
  • Write specifications and documentation for ML pipelines
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EPAM Systems Information Technology & Services XLarge https://www.epam.com/
10001 Employees
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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 own home
    • Opportunity to work abroad for up to two months per year
    • Relocation opportunities within our offices in 50+ 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
  • We cover it all
    • Participation in the Employee Stock Purchase Plan
    • Monetary bonuses for engaging in the referral program
    • Comprehensive medical & family care package
    • Five trust days per year (sick leave without a medical certificate)
    • Benefits package (sports activities, a variety of stores and services)
Experience the freedom of remote work from anywhere in Georgia, whether it's the comfort of your home or our modern office in Tbilisi and coworking spaces in Batumi and Kutaisi.

EPAM Georgia is a team of innovators united by a passion for technology. The dynamic and inclusive culture we embrace helps positively impact our communities, clients, and employees. Here you will collaborate with multi-national teams, contribute to numerous cutting-edge projects, deliver the most creative solutions, and have an opportunity to learn. Our people are at the heart of our success, and we are proud to provide talents with a solid ground to develop and grow.

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Industry :
Information Technology & Services
Spoken language(s):
EnglishEnglish
Check out the description to know which languages are mandatory.

Other Skills

  • Problem Solving

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