What are the responsibilities and job description for the Sr. Data Analyst (Databricks ML SME) position at HR Pundits?
Job Details
About the Client
HRP's client, one of India's top 10 IT companies by market
capitalization (Forbes 2024), provides innovative IT services across
various industries. The company fosters professional growth with dynamic
projects and a collaborative work culture. Employees enjoy benefits like
paid leaves, medical insurance, and continuous learning opportunities
Job Title: Sr. Data Analyst (Databricks ML SME)
Location: Onsite - New York, NY (Hybrid)
Employment Type: Full-time (W2)
Rate: $80/hr W2
Experience: 7 Years
Job Summary:
We are looking for an experienced Azure Databricks ML Engineer with
expertise in machine learning model deployment, PySpark, Python, and
SQL. The ideal candidate will have experience in ML Ops, LLMs, and
Generative AI (GenAI).
Key Responsibilities:
- Develop and deploy machine learning models using Azure Databricks.
- Implement ML Ops best practices for scalable model deployment.
- Manage Azure Databricks ML Flow for experiment tracking.
- Deploy and optimize Large Language Models (LLMs) & Generative AI
(GenAI) on Databricks.
- Collaborate with data scientists & engineers for seamless ML model
integration.
- Perform statistical analysis and support data-driven
decision-making.
- Troubleshoot and enhance ML model performance.
- Stay updated with machine learning & cloud technology advancements.
Must-Have Skills:
- 5 years experience with SQL (creating stored procedures).
- Azure Databricks & ML Flow certification.
- Machine Learning Operations (ML Ops) expertise.
- PySpark, Pandas, Python, and SQL proficiency.
- Bayesian Machine Learning & Quantitative Statistical Analysis
knowledge.
Nice to Have:
- Azure Databricks Data Engineer Professional Certification.
- Azure Databricks Machine Learning Professional Certificate.
- Prior experience in Con Edison, Utilities, or Energy industry
(preferred but not required).
Interview: Video
About HR PUNDITS Inc.
HRP is a trusted partner to leading implementation partners and
customers, recognized for our commitment to quality resourcing and
sustainable business growth. We prioritize customer success and work
collaboratively to drive growth, ensuring that each engagement delivers
impactful results and long-term value.
Salary : $80