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 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

• Outstanding career development opportunities with a transparent career path and a roadmap to accelerate your journey
• Knowledge sharing within the community of industry’s top professionals worldwide
• Wide range of professional training, workshops and mentoring programs plus unlimited access to LinkedIn Learning
• Learning resources and financial support for completing certification programs
• Competitive salary plus annual bonuses for showing outstanding results
• Flexible working schedule and opportunity to work remotely from any place in Montenegro
• Friendly team and enjoyable working environment
• Relocation opportunities within our offices in 50+ countries
• Corporate health insurance and the possibility of buying private health insurance for the family at a corporate price

As consultants, designers, architects, engineers and trainers, at EPAM we focus on building long-term partnerships with our clients, enabling them to reimagine their businesses through a digital lens. We help our clients become faster, more agile and more adaptive enterprises, by delivering solutions through best-in-class engineering, strategy, design, consulting, education and innovation services.