Machine Learning Engineer

S-PRO, a top-tier Digital Innovation and Software Engineering company, is seeking a Machine Leaning Engineer. We specialise in providing cutting-edge services for fast-growing businesses and enterprises, with a strong focus on Finance, Renewable Energy and Healthcare domains and expertise in AI, Blockchain and Data Science. Our team of over 200 dedicated professionals works tirelessly across our global offices to develop innovative digital solutions that drive sustainable business value and increase our client’s competitiveness in a dynamic digital landscape.

About the project

One of our client is is a visionary SportsTech start-up based in Zurich, Switzerland and founded by a brilliant team of senior leadership people of FinTech and sports marketing specialists.

It is active-data- platform witch inspires and enables active people of every ability, nationality, age, gender to take ownership of their active data and maximise its value. The community members trade their active data which can then be exchanged for a huge range of rewards, from the latest sports gear to exclusive event access to funding for health and wellness R&D for the benefit of the wider world.

We're looking for an initiative and experienced  Machine Learning Engineer to join our team! The position will include building great product in the SportTech domain.

Your responsibilities:

• Develop new algorithms and AI features based on sports data for the Muuvr application;
• Design and develop data pipelines;
• Collaborate with the product and development teams;
• Propose enhancements to product functionality.

What we offer:

• Long team focus: we create an environment of transparent communication, and minimal bureaucracy, which leads to long-term relationships;
• Development of niche expertise: we are working in several niches, such as FinTech, healthcare, and logistics. Therefore, our employees can develop their own expertise in these domains;
• Continuous learning: we create employee development plans / personal roadmaps /quick promotion processes;
• Internal career development: 80% of our current executives were promoted to those positions within S-PRO. We encourage initiative. If a person wants to set new challenges and grow, we will definitely support them.
  
  Benefits and perks:
• Flexible schedule: you can start the workday at any time from 8 to 11 in the morning;
• Remote work model: decide where you want to work: from your cozy home, or anywhere else;
• Medical insurance: all our employees who have passed the probationary period are now registered in our health insurance program;
• Paid vacations: we need to ensure that our employees regularly take vacations and don’t overwork.

So, if you want to build SportsTech application of future, you need:

• At least 2 years of experience in a Machine Learning Engineer or Data Scientist role;
• Proficient in Python and data science-related libraries such as Numpy, Pandas, Scikit-Learn, PyTorch (or TensorFlow);
• Skills in implementing data pipelines using Celery, AirFlow, Dagster, or comparable engines;
• Experience in developing Proof of Concept (PoC) and crafting data science reports using Jupyter Lab;
• Experience with AWS infrastructure, including but not limited to: EC2, RDS (Postgres), SQS, S3.

Will be a plus:

• Experience with Plotly Dash;
• Experience in training, fine-tuning, and deploying machine learning models using PyTorch or TensorFlow;
• Familiarity with Generative AI and Large Language Models, including prompt engineering, API integration, and the Langchain library.