Machine Learning Engineer

About the Role

We are seeking a Machine Learning Engineer to design, build, and deploy scalable ML models that power data-driven products and decisions. You will work closely with data scientists, software engineers, and product teams to take models from research to production in a fully remote environment.

Key Responsibilities

• Design, develop, and deploy machine learning models for production use
• Build and maintain scalable ML pipelines (data ingestion, training, evaluation, deployment)
• Collaborate with product and engineering teams to translate business requirements into ML solutions
• Optimize model performance, reliability, and scalability
• Monitor models in production and retrain as needed
• Conduct experiments and evaluate models using appropriate metrics
• Write clean, maintainable, and well-documented code

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field
• 2+ years of experience as a Machine Learning Engineer or similar role
• Strong proficiency in Python
• Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
• Solid understanding of machine learning algorithms, statistics, and data structures
• Experience with SQL and data manipulation tools
• Familiarity with software engineering best practices (version control, testing, CI/CD)

Preferred Qualifications

• Experience deploying ML models in production
• Knowledge of MLOps tools and workflows
• Experience with cloud platforms (AWS, GCP, or Azure)
• Familiarity with Docker, Kubernetes, and REST APIs
• Experience with big data tools (Spark, Kafka, Airflow)
• Background in NLP, computer vision, or recommendation systems

Tech Stack

• Python, SQL
• PyTorch / TensorFlow
• AWS / GCP / Azure
• Docker, Kubernetes
• Git, CI/CD pipelines