Senior Level Machine Learning EngineerAs a Machine Learning Engineer, you will build and maintain large scale ML Infrastructure and ML pipelines. Contribute to building advanced analytics, machine learning platform and tools to enable both prediction and optimization of models. Extend existing ML Platform and frameworks for scaling model training & deployment.
Partner closely with various business & engineering teams to drive the adoption, integration of model outputs. This role is a critical element to using the power of Data Science in delivering Fidelity’s promise of creating the best customer experiences in financial services.We are looking for candidates who can participate in our scheduled hybrid model. Any FC is fine.
Durham, NC; Boston, MA; Jersey City, NJ; Westlake, TX. Most of the team is based in NC.Must Have:•Experience in Object Oriented Programming (Java, Scala, Python), SQL, Unix scripting or related programming languages.•Solid python application development experience (Not scripting)•Experience with CI/CD tools (e.g., Jenkins or equivalent), version control (Git), orchestration/DAGs tools (AWS Step Functions, Airflow, Luigi, Kubeflow, or equivalent). Solid cloud experience.
Solid cloud expertise.•Experience with cloud based services (AWS Preferred). Nice to have-ML domain knowledge.