.By enabling digital workforces, SKAEL is reinventing the way complex human workflows are automated across hundreds of industries in an unprecedented way. SKAEL helps companies fully automate repetitive B2B functions, through easy integrations to hundreds of enterprise systems, while harnessing powerful insights delivered through digital assistants.SKAEL's mission is to deliver better user-centric outcomes through intelligent cognitive automation, empowering a synergistic human digital workforce. The company has been headquartered in San Francisco since its founding in 2016.About the GroupThe SKAI (SKAEL AI) group is in charge of developing and enhancing advanced technologies, such as artificial intelligence, machine learning and data mining, to advance SKAEL's business and products. The group works on programs in multiple areas such as conversational AI, data wrangling, image processing, behavioral analytics, predictive analytics, business enablement, telemetrics and benchmark analytics. By leveraging advanced technologies and sophisticated algorithms, SKAI's solutions empower SKAEL's intelligent digital employees. SKAI comprises data scientists, AI architects, ML engineers and data engineers, and reports to the company's Chief AI Officer.Key ResponsibilitiesAs an MLOps Engineer at SKAEL, you will have a chance to be part of a team that works on cutting-edge technologies, particularly NLP, and a variety of AI/ML algorithms that improve the way human employees interact with digital employees.As part of your role, you may need to:- Build data pipelines that collect, manipulate and process information- Create conceptual and logical models for the data infrastructure- Extract and manipulate large datasets using tools such as Python and SQL- Drive the collection of new data and the refinement of existing data from a variety of sources- Create data structures on the cloud, including queues, stacks and graph databases- Establish data engineering processes designed to efficiently and reliably deploy ML models to production- Evaluate data structure tools and technologies to determine fit- Communicate complex concepts and the results of the analyses in a clear and effective manner- Collaborate with other team members and cross-functionally to share knowledge and discuss initiativesMinimum Qualifications- A degree in Computer Science, Computer Engineering, Data Science, AI or a related field from an accredited institution- 2+ years of experience in Python- Well versed with machine learning fundamentals- Track record with databases and data management: NoSQL and SQL, data ingestion / ETL, and data modeling- 3+ years of experience as a DevOps or MLOps Engineer