Lead multiple AI and advanced analytics projects across Mosaic’s AI Office portfolio, owning planning, governance, and execution of complex, cross‑functional initiatives.
Compensation
A competitive base salary + bonus incentives
Responsibilities
Plan and govern AI and advanced analytics projects
Coordinate cross‑functional teams and resources
Hold team members accountable to deliverables and timelines
Escalate risks and issues to project sponsors
Define and support quality control standards
Requirements
Associate's degree in Computer Science, Data Science, Engineering, Mathematics/Statistics, Business, Information Systems or related area
Lead the end-to-end machine learning lifecycle, from problem framing to model deployment and monitoring, while collaborating with cross-functional teams and mentoring peers.
Responsibilities
Own the ML lifecycle: take models from problem framing through training, deployment and monitoring
Frame problems: turn business goals into ML tasks and metrics
Build models: classical ML, time series and NLP, plus LLM and RAG features
Evaluate rigorously: sound validation, the right metrics, and evals that gate every release
Ship and run models: deploy with Docker and CI/CD on cloud ML platforms, and monitor drift and cost
Build the control plane for Unity AI Gateway, routing AI requests, enforcing budgets, and ensuring reliability and efficiency of distributed AI workloads.
Compensation
$190,000—$261,250 USD
Responsibilities
Build the routing layer that picks the right model for each request across quality, cost, latency, availability, and remaining budget
Improve reliability, latency, and efficiency of distributed AI workloads
Collaborate with research, platform, infra, and AI/ML teams to deliver seamless end-to-end experiences
Shape how developers and data scientists build and interact with AI on Databricks
Seeking a highly skilled Associate Tech Lead specialized in AI/ML to guide the design, development, and deployment of advanced analytical and machine learning solutions.
Responsibilities
Execute and own end-to-end development of AI/ML systems, from data ingestion and feature engineering to model deployment and monitoring.
Provide inputs for the architectural direction of machine learning platforms, ensuring scalability, security, performance, and alignment with organizational standards.
Lead the evaluation, selection, and integration of AI technologies, frameworks, and tools, including GenAI solutions.
Collaborate with product, and domain teams to translate business requirements into well-designed ML architectures and solution roadmaps.
Oversee ML model lifecycle management, including experimentation, versioning, CI/CD integration, and continuous improvement.
Requirements
Bachelor’s or master’s degree in computer science, Data Science, Engineering, or a related technical field
Design the foundation that makes intelligent systems scale for our enterprise.
Compensation
Base Pay Range: $200,000 to $260,000 annually
An annual employee bonus program
Responsibilities
Define the end-to-end reference architecture for AI and data/storage systems across Azure AI Foundry, Azure AI Services, Azure AI Search, Azure Databricks/Fabric, and Snowflake.
Design integration blueprints for RAG workflows, data pipelines, agentic frameworks, and our enterprise GPT solution.
Establish standards for model deployment, versioning, prompt management, and telemetry within Azure AI Foundry.
Build and maintain scalable cloud environments for model training, evaluation, and inference.
Oversee vector database design (Azure AI Search or equivalent) and integration with Snowflake/Fabric data hubs.
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