Requirements: English
Company: Unit4
Region: Wroclaw , Lower Silesian Voivodeship
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We are in Business for People, empowering people in service organizations with innovative Enterprise and Business software solutions. Weve innovated and taken a new approach to delivering ERP that works for people. Self-driving, adaptive and intuitive software that is changing the way people work. Our solutions empower people and deliver a better people experience so people can spend time on meaningful high value work they live for.
Read more on our website about how we transform work and how people feel about it, so our customers and their people can thrive.
Job Description
As a Data Scientist - Machine Learning Engineer at Unit4, you will help design, develop, and deploy machine learning models that drive innovation and efficiency in our software solutions. You will work closely with data engineers, software developers, and product managers to ensure our models are scalable, robust, ethically designed, and aligned with business goals.
Qualifications
Key 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.
Requirements:
- Bachelors degree in Computer Science, Mathematics, Physics or a related field.
- Masters degree in Data Science, AI, or a related field is desirable.
- 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).
- Experience working with big data technologies is a plus.
- Experience in data quality and compliance is a plus.
- Strong problem-solving skills and attention to detail.
- Excellent communication and collaboration skills.
- Ability to work in an agile and fast-paced development environment.
Additional Information
Join Unit4 and be part of one of the most exciting journeys in the cloud ERP software space. Were a fast-paced, high-growth, people-centric company, delivering enterprise software for a great people experience, and offering our own people a host of benefits and development opportunities. Grow with us. At Unit4, we offer:
- 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.
This role may require security clearance for customer projects and access to sensitive (customer) data. That means that after you have accepted our offer, we could ask for background checks. Subject to applicable laws, such security checks may require disclosure of personal information including criminal record declaration, right to work, personal identification and work history. We''ll handle it according to local privacy laws and keep your info safe. Questions? Feel free to reach out!
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