Description

You will design, develop, and deploy scalable machine learning and AI solutions using Python and Databricks.

This role is remote.

Responsibilities

• Build and optimize data pipelines using Databricks, Spark, and Delta Lake.
• Develop high-quality, reusable Python code for data processing and ML workflows.
• Implement MLOps best practices, including model versioning, monitoring, and CI/CD pipelines.
• Integrate ML models into production systems and APIs while ensuring scalability.

Required Skills

• 5+ years of experience with Python (NumPy, Pandas, Scikit-learn, PySpark).
• Hands-on experience with the Databricks platform and Apache Spark.
• Proficiency in CI/CD pipelines for ML model deployment.
• Experience with ML frameworks such as TensorFlow or PyTorch.
• Solid understanding of SQL and data modeling concepts.
• Familiarity with cloud platforms: Azure, AWS, or GCP.
• Knowledge of Delta Lake, data lakes, and ETL processes.

Preferred Skills

• Experience with LLMs, NLP, or Generative AI.
• Knowledge of MLflow for experiment tracking.

Key Skills

Education

Any Graduate