MLOps - DevOps Engineer

July 24, 2024

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IMC Group (Member Firm of Andersen Global)

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IMC Group (Member Firm of Andersen Global) is a professional services firm specializing in corporate advisory, accounting, compliance, and global mobility services. They provide a comprehensive suite of solutions including company formation, business process outsourcing, mergers and acquisitions, tax compliance, and legal entity management, helping businesses navigate complex regulatory environments and optimize their operations. Their expertise spans across multiple sectors, making them a valuable partner for organizations seeking growth and efficiency in an increasingly global marketplace.

Global Tax Structuring • Asset Protect Services • Corporate Services • Global Mobility • Transaction Advisory Services

51 - 200 employees

Founded 2007

🤝 B2B

💳 Fintech

📋 Compliance

📋 Description

• This is a remote position. • We are looking for a highly motivated individual who can develop cutting edge MLOps and DevOps frameworks to deploy AI models. • The candidate should have a solid grasp of state-of-the-art cloud technologies, best in class deployment architectures/frameworks and production grade software. • Finally, the role requires strong team and interdisciplinary collaboration to see products through the development cycle from beginning to end. • Develop end-to-end pipelines encompassing the ML lifecycle from data ingestion, data transformation, model training &validation, model deployment & serving, and model evaluation over time. • Collaborate closely with AI scientists to accelerate productionization of ML algorithms. • Setup CI/CD/CT pipelines for ML algorithms. • Deploy models as a service both to cloud and on-prem edge. • Manage a team of DevOps/MLOps engineers. • Learn and apply new tools, technologies, and industry best practices.

🎯 Requirements

• MS in Computer Science, Software Engineering, or equivalent field. • Experience with Cloud Platforms, especially GCP, and related skills: Docker, Kubernetes, edge computing. • Familiarity with task orchestration tools, such as MLflow, Kubeflow, Airflow, Vertex AI, Azure ML, etc. • Fluency in at least one general purpose programming language, Python preferred. • Strong DevOps skills: Linux/Unix environment, testing, troubleshooting, automation, Git, dependency management, and build tools (GCP Cloud Build, Jenkins, Bazel, Gitlab CI/CD, Github Actions, etc.). • Data engineering skills a plus, such as Beam, Spark, Pandas, SQL, Kafka, GCP Dataflow, etc. • 5+ years of experience, including academic experience, in any of the above. • 3+ years of managing a DevOps/MLOps team.

🏖️ Benefits

Best in the industry