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Our customer is looking for a senior AI / ML Platform Engineer to deliver enterprise data services/capabilities and solutions on Azure and GCP. They will be a high level individual contributor and be a leader on the team. Candidates should have previous AI / ML cloud experience delivering enterprise data solutions in enterprise environments, including knowledge of the security and regulatory requirements. The role is focused on AI and ML service enablement along with applying AIOPs best practices to and engineering principals to the platform. The senior AI /ML Platform Engineer will work closely with cloud engineering, network, security, AI governance group, and model risk management to deliver secured AI and ML solutions to different business units. This role will involve constant collaboration with both developers, the platform engineering team, and different lines of business to propose AI and ML solutions to business problems, implement those solutions, and continuously improve the framework and tools to support self-service automation of the AI and ML services.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal. com.
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Bachelor's or Graduate degree (compsci, engineering, etc.)
10+ years relevant experience
AI and ML engineering experience Azure AI stack or equivalent (working knowledge of Google GCP AI stack (Vertex. AI, BigQuery...) a plus)
Experience developing platform orchestration code in Azure Python SDK, Terraform and GitHub Runners
Strong Prompt Engineering, Python Development and REST API skills
Strong expertise with delivering Cloud Infrastructure as Code (IAC) leveraging CI/CD pipelines, Terraform and Github Actions.
Demonstrated knowledge of cloud provisioning and administration, cloud bursting, cloud interoperability, cloud disaster recovery and business continuity strategies, as well as performance measurement and monitoring in the cloud
Understanding of different GenAI models, development frameworks (Langchain, Semantic Kernel) and AI ecosystem tooling (evaluation, monitoring, governance, security, vector databases)
Understanding of major components of RAG applications, usage patterns, and optimization