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

• Strong proficiency in Python (NumPy, Pandas, Scikit-learn, PySpark).
• Hands-on experience with the Databricks platform.
• Solid understanding of Apache Spark and distributed computing.
• Experience with ML frameworks such as TensorFlow or PyTorch.
• Knowledge of SQL and data modeling concepts.
• Familiarity with cloud platforms (Azure, AWS, or GCP).
• 5+ years of experience in relevant engineering roles.

Preferred Skills

• Experience with LLMs, NLP, or Generative AI.
• Knowledge of MLflow for experiment tracking.
• Exposure to containerization (Docker) and orchestration (Kubernetes).

Key Skills

Education

Any Graduate