20 Feb
Data Science/Python Developer
North Carolina, Raleigh / durham / CH , 27602 Raleigh / durham / CH USA

Vacancy expired!

Description:Data Scientists/MLOps Engineer to deliver strategic solutions in AI/ML space. This includes development of systems that serve ML models in production, systems automation and delivery of toolsets used in AI/ML lifecycle. Long Term Rate $620per day (Corp to corp) - 8 hour day)Location: Initially Remote, but will be onsite when rules dictate return to office in Raleigh NC.We offer• possibility to architect business focused big data, analytical and ML solutions in finance sector• rapidly evolving data science, data engineering and machine learning projects • flexible, friendly and multicultural working environment• possibility to develop your skills AI/ML space • possibility to develop large scale, distributed, fault-tolerant software systems and infrastructure You offer• strong programming and system engineering skills (advanced in Python programming and Linux administration)• understanding of distributed systems design and patterns (APIs implementation, microservices, cloud - AWS/Azure/Google Cloud Platform) • experience with container based solutions (Docker, Openshift/Kubernetes)• knowledge about Agile, CI/CD and DevOps principles • open mindedness and ability to think outside the box• have a “whatever it takes” attitude to meet the engineering challenges• self-motivated and comfortable operating in a global team interaction model (fluent English required)• bonus points: experience in delivering ML models into production, ML/AI model development lifecycle, ClouderaBig Data stackThe project on which candidate will work is an software/application implementation endeavor. Application itself is a tool to be used by Data Stewards and Data Scientists for governing Machine Learning models lifecycle. Hence the required skillset is encompassing generic application implementation/ systems integration knowledge and Machine Learning knowledge – python, models features, models metrics. As we are hiring couple of individuals, there is certain flexibility in actual skillset, as we might get to a full setup on a team level, not within each individual.MIAC [Machine Intelligence and Accelerated Computing] team is part of DAIS [Data and Artificial Intelligence Solutions] department, under CIO and CDO reporting lines. We are a Credit Suisse CoE for Machine Learning: delivering business oriented Data Science projects and commoditizing algorithms on multiple platforms / tools. We work with both small and Big Data, taking advantage of our Big Data platforms stack (in DAIS as well).

Vacancy expired!


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