Machine Learning Engineer

Job Summary

We are looking for a talented Machine Learning Engineer to design, build, and deploy scalable machine learning models and data-driven solutions. The role involves working closely with data scientists, engineers, and product teams to turn models into production-ready systems.

Responsibilities

• Design, develop, and deploy machine learning models in production
• Build and maintain data pipelines for training and inference
• Collaborate with data scientists to operationalize models
• Optimize models for performance, scalability, and accuracy
• Integrate ML models with APIs and applications
• Monitor, evaluate, and retrain models as needed
• Ensure data quality, security, and compliance
• Document models, workflows, and system architecture

Requirements

• 2–5+ years of experience in machine learning or related roles
• Strong knowledge of machine learning algorithms and statistics
• Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn)
• Experience with data processing tools and libraries (Pandas, NumPy)
• Experience deploying models to production environments
• Familiarity with cloud platforms (AWS, Azure, or GCP)
• Experience with REST APIs and microservices
• Understanding of MLOps, model monitoring, and versioning

Nice to Have

• Experience with deep learning or NLP
• Knowledge of big data tools (Spark, Hadoop)
• Experience with Docker and Kubernetes
• Cloud or ML certifications
• Agile/Scrum experience