Machine Learning Engineer

Job Summary

Working remotely on a contract basis, the Machine Learning Engineer will design and deploy scalable ML pipelines, develop Generative AI solutions, and drive advancements in enterprise analytics.

Key responsibilities

• Design, build, and optimize scalable machine learning pipelines using Databricks, PySpark, and MLflow
• Develop and deploy Generative AI and Large Language Model solutions to enhance automation and data intelligence
• Implement MLOps best practices, including CI/CD pipelines and production monitoring using Azure DevOps

Required qualifications

• Bachelor's degree in Computer Information Systems or equivalent experience, with 7+ years in machine learning and data science
• Strong hands-on experience with Databricks, Snowflake, and PySpark, including performance tuning and SQL optimization
• Proficiency in Python, SQL, and machine learning frameworks such as Scikit-Learn
• Experience building LLM-based applications and NLP workflows using technologies like LangChain
• Healthcare industry experience, including familiarity with HIPAA regulations and handling sensitive Protected Health Information (PHI)