We are a team of programmers and data scientists who are exploring the great world of massive data processing and visualization. We deliver strategic data engineering and data science solutions to the firm. We pride ourselves in adopting a start-up culture where ambition and inspiration are assets.

We are seeking a diligent and proactive MLOps Engineer to join our team. As a member of our team, you will be responsible for delivering value to our clients and our company. In this role, you will develop and 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.

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, Cloudera Big Data stack

The 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 major bank 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)