AI/ML Architect With Databricks

• Bachelor’s degree or higher in Computer Science, Data Science, Mathematics, Statistics, Engineering, or related field.
• 3+ years of experience in data science or machine learning roles.
• Advanced knowledge of Databricks, including:
  • PySpark / Spark SQL
  • Databricks notebooks
  • Delta Lake
  • MLflow
  • Databricks Jobs & Workflows
• Strong programming skills in Python (pandas, numpy, scikit‑learn).
• Experience working with large-scale data processing.

Solid understanding of machine learning algorithms and statistical techniques

Key Responsibilities

Data Science & Machine Learning

• Develop, train, and optimize machine learning and statistical models using Databricks, Python, PySpark, and MLflow.
• Perform exploratory data analysis (EDA) to identify trends, patterns, and insights in large datasets.
• Deploy ML models into production using Databricks MLflow, Delta Live Tables, or other MLOps pipelines.

Data Engineering & Databricks Platform

• Build scalable, high‑performance ETL/ELT pipelines using PySpark, SQL, and Databricks workflows.

Preferred

• Experience deploying models in production using MLOps frameworks.
• Knowledge of Azure Databricks or AWS Databricks environments.
• Understanding of CICD pipelines and DevOps concepts (Azure DevOps, GitHub Actions, etc.)
• Familiarity with deep learning frameworks (TensorFlow, PyTorch) is a plus.

Key Competencies

• Strong analytical and problem‑solving skills
• Ability to work in a fast-paced, collaborative environment
• Excellent communication and presentation skills
• Self-driven with high attention to detail