Machine Learning Engineer

Job Summary

We are seeking a highly motivated and skilled Machine Learning Engineer to design, develop, and deploy machine learning models and systems that solve real-world problems. The ideal candidate will have a strong foundation in machine learning algorithms, data engineering, and software development, along with the ability to work both independently and collaboratively in a fast-paced environment.

Key Responsibilities

• Design, develop, train, test, and deploy scalable machine learning models and pipelines.
• Write clean, efficient, and well-documented code for model training, evaluation, and deployment.
• Collaborate with cross-functional teams, including data scientists, product managers, and software engineers, to define and implement ML solutions.
• Participate in code and model reviews to maintain high standards of quality and performance.
• Troubleshoot, debug, and optimize models and systems for accuracy, scalability, and efficiency.
• Continuously explore, evaluate, and integrate new machine learning techniques, frameworks, and tools.
• Contribute to technical documentation, experiment tracking, and best practices for ML workflows.

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent practical experience.
• Proficiency in Python and familiarity with ML libraries/frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Strong understanding of data preprocessing, feature engineering, and model evaluation techniques.
• Experience with version control systems like Git.
• Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization tools (Docker, Kubernetes) is a plus.
• Solid knowledge of algorithms, data structures, and software engineering principles.
• Strong analytical and problem-solving skills.
• Excellent communication and teamwork abilities.