Senior Machine Learning Engineer - Machine Learning Infrastructure
FlipFull Time
Senior (5 to 8 years)
Key technologies and capabilities for this role
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Candidates need 5+ years of experience in data with confirmed expertise on GCP and Vertex AI. Daily technologies include Google Cloud Platform (Vertex AI, Vertex AI Search, Cloud Run, Cloud Storage), Python with ML libraries (Langchain, Pandas, OpenAI, Rasa, Scikit-Learn), RAG architecture, ML evaluation pipelines, and Terraform for IaC.
SFEIR is a community of 900 tech experts including over 100 data specialists, with 140 GCP certified, 70 trainers, and 7 Google Developers Experts. They offer an active community with more than 50 annual events, participation in Google Cloud events and AI conferences, and innovative AI projects for major clients.
Opportunities include evolution to ML Architect or Lead Data Scientist roles, animating GCP/IA trainings, and speaking at events like DevFest and Devoxx. Continuous training with Google Cloud Skills Boost and ML certifications is also provided.
Digital strategy and technology consulting firm
SFEIR helps businesses with their digital transformation by providing specialized consulting services in technology. The company focuses on developing both front-end and back-end applications, offering cloud solutions, and implementing Site Reliability Engineering (SRE), data management, and machine learning. SFEIR operates as a Google Cloud Partner of the Year, which showcases its expertise in cloud services. Unlike many competitors, SFEIR emphasizes a community of developers who engage in continuous learning and knowledge sharing. The company also runs the SFEIR Institute, which offers tailored training programs to ensure clients' teams are proficient in the latest digital tools. The main goal of SFEIR is to make technology easy to use and beneficial for businesses, helping them modernize their operations and achieve their digital transformation objectives.