Senior ML Platform Lead - Agentic AI & LLM Solutions

Cyberobotix; Atlanta (GA); Hybrid; USD 150,000 - 210,000; Full time

Job summary

Cyberobotix is seeking an ML Lead to build and run a scalable ML platform on AWS and Databricks, delivering ML and agentic AI solutions for business clients. You will be a hands-on technical leader owning the full lifecycle from design to production support, and coach an offshore engineering team while serving as the primary technical contact for client stakeholders.

You will drive MLOps standards, governance, and cost optimization, and lead the delivery of ML use cases including LLM-based

Qualifications

• 8+ years in data science, ML engineering, or data engineering, with 3+ years leading teams or technical delivery.
• Strong hands-on experience with Databricks (Spark, Delta Lake, MLflow, Unity Catalog, Workflows, Model Serving, Feature Store).
• Strong hands-on experience with AWS (S3, IAM, VPC, SageMaker, Lambda, ECS/EKS, Bedrock, CloudWatch, Glue).
• Proven experience building and operating production ML systems, not only prototypes.
• Experience delivering LLM and agentic applications (e.g., LangChain, LangGraph, LlamaIndex, Databricks Mosaic AI Agent Framework, Bedrock Agents).
• Proficiency in Python and SQL; solid software engineering practices (Git, testing, CI/CD, IaC such as Terraform).
• Experience leading distributed or offshore teams and coaching engineers.
• Strong client-facing skills, with the ability to explain complex topics to non-technical stakeholders.
• Experience with production support models, including SLAs, incident management, and monitoring.

Responsibilities

• Design, build, and evolve a scalable ML platform on AWS and Databricks, including feature engineering, training, experiment tracking, model registry, deployment, and monitoring.
• Establish MLOps standards: CI/CD for models and pipelines, IaC, automated testing, model versioning, and reproducibility.
• Implement governance with Unity Catalog: access control, lineage, and auditability.
• Optimize platform cost, performance, and reliability (cluster policies, autoscaling, FinOps).
• Lead design and delivery of ML use cases: forecasting, classification, recommendation, and personalization.
• Architect and deliver agentic AI solutions: LLM-based agents, RAG pipelines, tool/calling, orchestration, evaluation frameworks.
• Define guardrails for LLM apps: prompts, safety, observability, cost controls.
• Own end-to-end delivery: roadmap, estimation, sprint planning, release management, quality.
• Own production support: incident response, root cause analysis, SLAs, runbooks, on-call, monitoring.

Skills

Data science

ML engineering

Leadership

Client-facing

Team coaching

Tools

Databricks

AWS

Terraform

CI/CD

Job description

Cyberobotix is seeking an ML Lead to build and run a scalable ML platform on AWS and Databricks, delivering ML and agentic AI solutions for business clients. You will be a hands-on technical leader owning the full lifecycle from design to production support, and coach an offshore engineering team while serving as the primary technical contact for client stakeholders.

You will drive MLOps standards, governance, and cost optimization, and lead the delivery of ML use cases including LLM-based