Machine Learning Engineer in S-PRO

S-PRO, atop-tier Digital Innovation and Software Engineering company, isseeking aMachine Leaning Engineer. Wespecialise inproviding cutting-edge services for fast-growing businesses and enterprises, with astrong focus onFinance, Renewable Energy and Healthcare domains and expertise inAI, Blockchain and Data Science. Our team ofover 200 dedicated professionals works tirelessly across our global offices todevelop innovative digital solutions that drive sustainable business value and increase our client’s competitiveness inadynamic digital landscape.About the projectOne ofour client isisavisionary SportsTech start-up based inZurich, Switzerland and founded byabrilliant team ofsenior leadership people ofFinTech and sports marketing specialists.Itisactive-data- platform witch inspires and enables active people ofevery ability, nationality, age, gender totake ownership oftheir active data and maximise its value. The community members trade their active data which can then beexchanged for ahuge range ofrewards, from the latest sports gear toexclusive event access tofunding for health and wellness R&D for the benefit ofthe wider world.We’re looking for aninitiative and experienced Machine Learning Engineer tojoin our team! The position will include building great product inthe SportTech domain.So, ifyou want tobuild SportsTech application offuture, you need:Atleast 2years ofexperience inaMachine Learning Engineer orData Scientist role;Proficient inPython and data science-related libraries such asNumpy, Pandas, Scikit-Learn, PyTorch (orTensorFlow);Skills inimplementing data pipelines using Celery, AirFlow, Dagster, orcomparable engines;Experience indeveloping Proof ofConcept (PoC) and crafting data science reports using Jupyter Lab;Experience with AWS infrastructure, including but not limitedto: EC2, RDS (Postgres), SQS, S3.Will beaplus:Experience with Plotly Dash;Experience intraining, fine-tuning, and deploying machine learning models using PyTorch orTensorFlow;Familiarity with Generative AIand Large Language Models, including prompt engineering, APIintegration, and the Langchain library.Your responsibilities:Enhancing core data science services and models:Recommender Systems for friend suggestions and personalized marketing campaigns (graph algorithms and feature encoders)Anti-spoofing system for sports activities submitted byusers (time series analysis and matching)Sports Activity Ingestion Service: harmonization, normalization, and automatic labeling (time series analysis, preprocessing, and feature engineering) ofincoming data from smartwatches.Researching and developing new AIfeatures:Personalized Sports Assistant based onLarge Language Models (LLMs).Building meaningful neural embeddings for activities and users based onhistorical data.Collaborating with the product and development teams.Proposing enhancements toproduct functionality.What weoffer:Long team focus: wecreate anenvironment oftransparent communication, and minimal bureaucracy, which leads tolong-term relationships;Development ofniche expertise: weare working inseveral niches, such asFinTech, healthcare, and logistics. Therefore, our employees can develop their own expertise inthese domains;Continuous learning: wecreate employee development plans/ personal roadmaps /quick promotion processes;Internal career development: 80% ofour current executives were promoted tothose positions within S-PRO. Weencourage initiative. Ifaperson wants toset new challenges and grow, wewill definitely support them.Benefits and perks:Flexible schedule: you can start the workday atany time from 8to11inthe morning;Remote work model: decide where you want towork: from your cozy home, oranywhere else;Medical insurance: all our employees who have passed the probationary period are now registered inour health insurance program;Paid vacations: weneed toensure that our employees regularly take vacations and don’t overwork.