Derived from job-description analysis by Serendipath's career intelligence engine.
Original posting from JC CORPORATIONS
Required Technical Skills
- GenAI Stack: Experience with LangChain, LlamaIndex, Vector Databases (Pinecone/Milvus), and fine-tuning open-source models.
- Data Engineering: Expert-level SQL and PySpark for grooming large-scale datasets.
- Statistical Control: Deep understanding of Design of Experiments (DoE), hypothesis testing, and Statistical Process Control (SPC) to monitor model drift and performance.
- MLOps: Proficiency in versioning and deploying models in cloud environments (Azure/AWS).
Education & Certifications
- Education: Master s or PhD in a quantitative field (Statistics, CS, Engineering).
- Certification: Lean Six Sigma Black Belt or Six Sigma Black Belt(Active certification mandatory).
- Experience: 5-7+ years of experience in a data-driven environment with a proven track record of leading AI initiatives.
Source: JC CORPORATIONS careers