Job Description

Job Title: Machine Learning Engineer Location: Remote | Full-Time We are seeking a Machine Learning Engineer to design and deploy scalable ML pipelines using Azure and Snowflake. You will collaborate with data scientists, productionize models, and manage full ML lifecycles in cloud environments. Key Responsibilities: Build end-to-end ML pipelines: data ingestion, training, validation, deployment. Collaborate with data scientists to integrate models into production Use Azure ML, Data Factory, and Snowflake for pipeline orchestration Optimize ML models for performance and scalability Monitor, maintain, and improve deployed models Write clean, maintainable Python code and follow best practices Review code and mentor junior team members Must-Have Skills : Strong experience building & deploying ML pipelines Proficiency in Azure ML, ADF, and Snowflake Solid Python skills with ML libraries (scikit-learn, TensorFlow, etc.) Understanding of ML algorithms, evaluation, and tuning Familiarity with Git, CI/CD, and cloud-based workflows Preferred Qualifications: Experience with MLOps tools and practices Knowledge of Docker, Kubernetes Excellent problem-solving and communication skills .