Overview
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.Seniority level
Not ApplicableEmployment type
Full-timeJob function
Information TechnologyIndustries
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