Machine Learning Engineer

About the Role

We are seeking a skilled Machine Learning Engineer to design, build, and deploy scalable machine learning systems. You will work at the intersection of data science and software engineering, turning models into production-ready solutions that power real-world applications.

Key Responsibilities

• Develop, train, and optimize machine learning models for production use
• Collaborate with data scientists to operationalize models and algorithms
• Build and maintain scalable data pipelines and ML workflows
• Deploy models using APIs, batch processing, or real-time systems
• Monitor model performance and implement improvements over time
• Ensure code quality, testing, and reproducibility of ML systems
• Work closely with engineering teams to integrate ML solutions into products
• Document system architecture and model behavior

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field
• At least 2 years of experience in machine learning engineering, software engineering, or related roles
• Strong programming skills in Python
• Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
• Solid understanding of machine learning concepts and model evaluation
• Experience working with APIs and microservices
• Proficiency in SQL and data handling

Preferred Qualifications

• Experience with big data tools like Apache Spark
• Familiarity with containerization tools such as Docker and orchestration systems like Kubernetes
• Experience with cloud platforms such as Amazon Web Services, Google Cloud Platform, or Azure
• Knowledge of CI/CD pipelines and MLOps practices
• Experience with version control systems like Git

Key Skills

• Strong problem-solving and debugging skills
• Ability to bridge data science and engineering teams
• Attention to scalability, performance, and reliability
• Effective communication and collaboration