Technical Project Manager with data engineer Background

Irvine, California, United StatesOnsiteContractPosted 2 months agoVisa sponsorship available

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Role summary

Seeking a Technical Project Manager with a data engineering background to drive AI/ML initiatives. This role involves converting complex engineering problems into data requirements, AI models, and measurable KPIs. Responsibilities include managing data pipelines (ETL/ELT, streaming, batch) using tools like Spark, Databricks, Snowflake, and Kafka, and overseeing the AI/ML lifecycle from data ingestion to monitoring. A strong understanding of GenAI concepts (LLMs, RAG, fine-tuning, vector DBs), data quality frameworks, security/IP sensitivity, and model governance is crucial. Experience in fast-paced, agile environments is essential, with familiarity in cloud platforms and MLOps being a plus.

Data pipelines (ETL/ELT, streaming, batch)

Exposure to tools: Spark, Databricks, Snowflake, Kafka (at least conceptual)

Al/ML lifecycle:

\* Data ingestion Feature engineering → Model training Deployment → Monitoring

GenAl basics (LLMs, RAG, fine-tuning, vector DBs)

Understanding of Semicon, RF systems, test validation reliability would be great add on

Person should have convert vague engineering problems into:

\* Data requirements

\* Al models

\* Measurable KPIs

Agile and Scrum skills will be imp

PM should know

\* Data quality frameworks

\* Security / IP sensitivity (critical in semicon).

\* Model governance (bias, drift, compliance).

Looks for these key words to make an impact and have right profile

Qualifications

\* Bachelor's or Master's degree in a related field

\* 3+ years of experience managing technical projects, preferably in Al, machine learning, or data analytics domains.

\* Strong understanding of Al/ML concepts, and software development life cycle.

\* Proven ability to manage multiple projects simultaneously in a fast-paced, agil environment.

\* Excellent organizational, communication, and leadership skills.

\* Familiarity with cloud platforms (e.g., Azure, AWS, Google Cloud) and MLOps to is a plus.

\* Project Management Professional (PMP), Agile, or Scrum certification is desirat

Key Competencies

\* Technical acumen in translating requirements for the Al team

\* Stakeholder management and communication

\* Problem-solving and critical thinking

\* Risk assessment and mitigation

\* Team leadership and motivation

\* Attention to detail and results orientation

Work Environment

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