Machine Learning Engineer

Summary

Join Unit4 as a Data Scientist - Machine Learning Engineer and help design, develop, and deploy machine learning models that enhance our software solutions. Collaborate with cross-functional teams, including software engineers and product managers, to ensure models are scalable, robust, ethically designed, and aligned with business goals. Implement ML workflows using MLOps best practices and ensure the reproducibility, performance, reliability, scalability, and security of ML models in production. Implement responsible AI principles to guarantee fairness, accountability, and transparency. Stay current with the latest advancements in machine learning and MLOps. This role offers a chance to grow within a fast-paced, high-growth company with a people-centric culture and numerous benefits.

Requirements

• Bachelor’s degree in Computer Science, Mathematics, Physics or a related field
• Strong understanding and experience in machine learning and MLOps
• Strong proficiency in Python and experience with ML frameworks
• Experience with Azure, ML lifecycle management tools (Azure Machine Learning Studio, MLflow, Databricks, etc.), and containerization tools (Kubernetes, Docker)
• Strong problem-solving skills and attention to detail
• Excellent communication and collaboration skills
• Ability to work in an agile and fast-paced development environment

Responsibilities

• Collaborate with cross-functional teams, including software engineers and product managers, to support the design and integration of responsible ML solutions into company products
• Design, develop, deploy, and maintain machine learning models to solve diverse business challenges
• Implement ML workflows using MLOps best practices for continuous integration and deployment
• Ensure reproducibility, performance, reliability, scalability, and security of ML models in production
• Implement responsible AI principles to ensure fairness, accountability, and transparency in AI solutions
• Stay up-to-date with the latest trends and advancements in machine learning and MLOps

Preferred Qualifications

• Master’s degree in Data Science, AI, or a related field is desirable
• Experience working with big data technologies is a plus
• Experience in data quality and compliance is a plus

Benefits

• A culture built on trust - giving you the freedom and autonomy to be successful
• Balance - with our uncapped time off policy, remote working opportunities and Global Wellbeing Days when the whole company can switch off and prioritize well-being
• Talented colleagues, role models and mentors - work, learn and be inspired by some of the best talent in the software industry
• A commitment to sustainability - with initiatives such as our Act4Good program, a way for everyone at Unit4 to come together and engage in actions that benefit society and the planet
• A safe and inclusive working environment – supported by our Employee Resource Groups, which are open to all and include Women at Unit4, Pride at Unit4, Mental Health and Access at Unit4, and People of Color at Unit4