Manager - Data Engineering
Core
Lead the design, execution, and scaling of end-to-end AI/ML and GenAI initiatives, including LLM fine-tuning and integration into business workflows.
Role type
Manager - Data Engineering (AI/ML & GenAI)
Builds
Production-grade ML/GenAI systems, RAG pipelines, embeddings-based search systems, copilots, and knowledge assistants.
Domain
Multimedia network and communications, Satellite connectivity, Consumer wireless
Deliverable
production ML models
Required skills
LLMs, prompt engineering, vector stores, RAG, agentic architecture, Classical ML, Deep learning, NLP, GenAI, Python ML frameworks, AWS services (SageMaker, Lambda, S3, EKS, Athena, Bedrock), CI/CD, Git, Docker, Kubernetes
Preferred skills
MLOps pipelines, model evaluation, benchmarking, governance, cross-functional collaboration, Agile methodologies, automated configuration-driven solutions
Technologies
GitLab CI/CD, Docker, K8s, OpenAI, Anthropic, AWS Bedrock, GPT, Claude
Responsibilities
Lead design and scaling of AI/ML/GenAI initiatives; Drive integration of advanced models into workflows; Oversee development of RAG and search systems; Collaborate on cloud-native system integration; Establish MLOps pipelines; Manage and mentor cross-functional teams.
Seniority
Manager, 14+ years total experience (8+ in DS/ML/AI, 2+ in leadership)
