Senior Data Scientist / Machine Learning Engineer

Are you curious and ready to accept a new challenge in your career? Are you eager to join a dynamic company and bring innovation through your work and skills?Prometeia offers you opportunities for growth and training in a Group with over 1000 professionals working for more than 500 clients in 20 countries around the world.Among the European leaders in Enterprise Risk Management and Wealth & Asset Management solutions, Prometeia is looking for a senior resource to be included in the areas of Data Science and ML Engineering.Candidate will be placed in the team of Data Science and Artificial Intelligence (AI) with an entrepreneurship soul and a focus on not only financial institutions' digitalization processes but also cross-sectoral real-world applications of AI. The ideal candidate will have strong software engineering and leadership skills.RESPONSIBILITIES: Leading development of PoCs and/or AI products in technical areas of AI like Machine Learning (ML) and Deep Learning (DL) on big tabular dataCollaborate with both local and global data science business translators and clients from different industriesEager to follow literature, research, prototype, implement and evaluate applications of state-of-the-art ML/DL algorithms in real-world data science problemsLead analytical tasks like ML algorithm design, implementation, validation and testingLead integration of the resulting system/software into existing production environmentWillingness to multi-task, learn new technologies in a lean development environmentContribute to research papers and attend conferences REQUIREMENTS: Having a Bsc., Msc. or having/pursing PhD. degree in Machine Learning, Deep Learning or related fields of Computer Science and Data Science3 - 5+ years of strong academic and/or industry experience in Machine LearningProficiency and hands-on experience in coding with PythonExperience in MLOps pipeline developmentHands-on academic and/or industry experience on one or more of the frameworks and libraries: pandas, numpy, scikit-learn, matplotlib, seaborn, pyspark, tensorflow, keras, pytorch,Know-how on container platforms and on-cloud deployment (Docker, Kubernetes) is a plusExperience in relational SQL and NoSQL (Redis, Mongo DB, Cassandra) databasesStrong understanding of object-oriented programming languagesComputer science fundamentals in data structures, algorithms, run-time analysis, object-oriented design patternsExperience in Linux/Unix operating systemExperience with code versioning systems (git) SOFT SKILLS: Skill to effectively describe and report on complex ideas and projectsSkill to present findings and insights to clients and stakeholders, ensuring clear communication of complex technical conceptsAttention to detail, excellent communication, and team-leading skills LOCATION:Istanbul, TürkiyeWHAT WE OFFER:COMPENSATION, WELFARE & BENEFIT Our history, as well as the future, is based on the value of our people. The biggest investment at Prometeia is in our people, and it concerns every aspect of professional life. We call it 'Total Compensation' and is made up of Compensation - consisting of a fixed and a variable component -, an important Welfare Plan, active since 2015 – we have been among the first to introduce it in Italy - and Benefits, which include all the initiatives undertaken for the well-being of our people.REMOTE WORKING Flexibility is an intrinsic value of the way we work. At Prometeia, smart working is an organizational method based on trust, which results in benefits in terms of work/life balance, impact on the environment and optimization of company results, through autonomy and empowerment of people.PEOPLE PROGRAMOur evaluation system is based on the full enhancement of people and their continuous dialogue as a stimulus for regular, mutual professional and personal growth. Transparent discussions between managers and team members are set up within the projects, where reciprocal and timely feedback is exchanged. The process is fully digitalized and aimed at continuously improving the development trajectory of the individual and the company.TRAINING Prometeia means ongoing training. We provide an average of 11 days of training per year to our people, in person and online. Particular attention is paid to younger colleagues, who are the protagonists of dedicated growth programs, and to the continuous sharing and internal transfer of know-how and skills. On-the-job training is also important, through immediate and direct confrontation with the market.WIN/WIN POLICY If you are one of our employees, and you recommend a person who is later recruited, you are entitled to a financial bonus! This is an important opportunity to contribute to the growth of Prometeia as a whole, by attracting acknowledged market professionals and new tech talents.PHYGITAL MANAGEMENTThrough the dedicated app Pr(Home)teia, we have completely digitalized and integrated the management of our physical and virtual environments. Access to the office, smart working, workstations, meeting rooms, car pooling... everything is just a click away.