What are the responsibilities and job description for the Technical Project Manager position at Skywaves MP LLC?
Key Responsibilities
Lead planning and execution of AI/ML and Generative AI projects (LLMs, RAG, NLP, etc.) from ideation to deployment
Collaborate with data scientists, ML engineers, product teams, and business stakeholders to define scope, timelines, and deliverables
Manage project lifecycle including requirements gathering, sprint planning, execution, monitoring, and delivery
Drive Agile/Scrum practices, ensuring timely and high-quality delivery
Translate business requirements into technical execution plans for AI solutions
Identify risks, dependencies, and bottlenecks; proactively mitigate issues
Track KPIs, project progress, and communicate status to leadership
Ensure model deployment, scalability, and production readiness in collaboration with engineering teams
Facilitate cross-functional alignment and stakeholder communication
Manage vendors/partners where applicable
Required Skills & Qualifications
10 years of experience in technical project/program management
Proven experience managing AI/ML Generative AI projects
Strong understanding of:
Large Language Models (LLMs)
Retrieval-Augmented Generation (RAG)
NLP, prompt engineering, and model evaluation
Familiarity with ML lifecycle (data prep, training, evaluation, deployment)
Experience with cloud platforms (AWS, Azure, or Google Cloud Platform)
Hands-on experience with Agile/Scrum methodologies and tools (Jira, Confluence, etc.)
Basic proficiency in Python or ability to understand/read AI/ML codebases
Strong communication and stakeholder management skills
Ability to bridge technical teams and business stakeholders
Preferred Qualifications
Experience with frameworks/tools like LangChain, LlamaIndex, OpenAI, Hugging Face
Understanding of MLOps and model deployment pipelines
Exposure to vector databases (Pinecone, FAISS, Weaviate, etc.)
PMP / Scrum certification is a plus
Prior experience in enterprise AI transformations or digital programs
Key Competencies
Strong problem-solving and analytical thinking
Ownership mindset with ability to drive projects independently
Excellent communication and leadership skills
Ability to manage ambiguity in fast-evolving AI environments