Technical Project Manager with data engineer Background

Data pipelines (ETL/ELT, streaming, batch) If the following job requirements and experience match your skills, please ensure you apply promptly.

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

* 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. xywuqvp

* 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