Machine Learning Engineer

Job Overview

Relesys is seeking a talented Machine Learning Engineer to join our innovative team in Vilnius, Lithuania. In this role, you will be instrumental in developing and implementing advanced machine learning models to enhance our all-in-one employee engagement platform. You will contribute to driving innovation and improving performance for frontline teams globally, creating solutions that truly make an impact.

Company Overview

Relesys is a dynamic technology company that provides an all-in-one employee app designed to help companies effectively engage, communicate with, train, and motivate their frontline employees across multiple locations. The platform aims to streamline internal communication, boost engagement and motivation, train staff faster and more efficiently, and ultimately improve performance across teams. Relesys is committed to empowering frontline teams with a tool they will use every day.

Quick Details

• Salary Range: Market Competitive
• Job Type: Full-time
• Qualifications: None / Open to all applicants
• Experience: 3 Year+

Key Responsibilities

• Develop, implement, and maintain robust machine learning models to enhance product features.
• Collaborate with product and data science teams to identify new opportunities for ML integration.
• Analyze complex datasets to derive insights and improve model performance.
• Design and build scalable ML pipelines and infrastructure to support growing data volumes.
• Stay up-to-date with the latest advancements in machine learning and artificial intelligence.
• Contribute to the entire machine learning lifecycle from research and prototyping to deployment and monitoring.

Requirements

• Strong foundational knowledge of machine learning algorithms and deep learning frameworks (e.g., TensorFlow, PyTorch).
• Proficiency in programming languages, particularly Python, and experience with relevant libraries.
• Demonstrated experience in data analysis, statistical modeling, and model evaluation.
• Ability to work effectively both independently and as part of a collaborative, agile team.
• Excellent problem-solving skills and a keen eye for detail.
• Experience with cloud platforms such as AWS, Azure, or GCP is considered a significant advantage.

Benefits

• Opportunity to work on cutting-edge AI/ML solutions that impact thousands of users globally.
• Be part of a collaborative, dynamic, and international work environment.
• Access to professional development resources and career growth opportunities.
• Enjoy a competitive salary package and comprehensive benefits.
• Flexible working arrangements to support work-life balance.
• Contribute to a product that makes a real difference in employee engagement and performance.