Job Description
H2O Labs is seeking a highly skilled AI/ML & Data Engineer to join our innovative team. The ideal candidate will have strong expertise in Python, AI/ML, data engineering, SQL, Azure cloud services, and Power BI, with experience deploying models into production.
Roles & Responsibilities
- General Introduction & Experience
- Introduce yourself and highlight relevant AI/ML and data engineering experience.
- Python & AI/ML (Core Requirement)
- Proficient in Python and ML/AI libraries: Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, etc.
- Experience building NLP models using libraries/APIs such as OpenAI, Hugging Face.
- Design, develop, and evaluate ML models; provide examples of recent projects, challenges, and outcomes.
- Experience in fine-tuning and deploying LLMs.
- SQL & Data Engineering
- Write complex SQL queries: DDL, DML, joins, CTEs, window functions.
- Optimize SQL queries for performance improvements.
- Build and maintain ETL pipelines using relevant tools/frameworks.
- Azure Cloud (Mandatory Requirement)
- Hands-on experience with Azure services: Azure Data Lake, Azure ML, Databricks, Functions, etc.
- Deploy ML models on Azure ML; explain the deployment process.
- Familiarity with Azure Data Lake storage formats like Parquet, Delta.
- Power BI
- Create dashboards to deliver actionable insights.
- Comfortable writing DAX measures and creating interactive visuals.
- Architecture & System Thinking
- Design system/data architecture diagrams using Visio, Draw.io, Lucidchart, or similar tools.
- Build end-to-end AI/ML pipelines: from data ingestion to model deployment.
- Production Deployment
- Deploy models from Jupyter Notebook to production using CI/CD pipelines and monitoring tools.
- Monitor and maintain model performance post-deployment.
- Preferred / Bonus Skills
- Experience with R programming language.
- Familiarity with Dynamics 365 CRM.
- Knowledge of AI agent services, Hugging Face, or LLM-based applications.
- Experience in government or enterprise-level projects.
Job Type: Full-time
Pay: Rs250,000.00 - Rs500,000.00 per month
Work Location: In person