ML/DS Engineer

Role & responsibilities

Key Qualifications:

• Experience in data science, MLOps, and automation with a strong emphasis on Python and Pyspark.
• Proven track record in building automation systems and Python packages is a must. with experience in data science, model deployment, and monitoring is a plus.
• Hands-on experience with improving, debugging codebases and familiarity with platforms like Databricks is preferred.
• Candidate should be able to guide a small team, work with cross-functional teams and be able to advocate for technical best practices within the org.

Skills Required:

• Programming: Python, Pyspark
• Data Science: Pandas, Numpy, EDA, Feature Engineering
• MLOps: Data Ingestion, ETL Pipelines, Model Monitoring, CI/CD, SQL
• Software Development: Python, Development Best Practices, Publishing Python Packages, enhance and support existing codebases