Machine Learning Engineer
Summary
Design, build, and deploy machine learning models using Python and frameworks like TensorFlow or PyTorch, handling data preprocessing, training, monitoring, and collaborating with product and data teams.
Design, build, and deploy machine learning models and algorithms to solve complex business problems.
Perform data exploration, cleaning, and preprocessing to prepare datasets for model training.
Train and optimize machine learning models, ensuring high performance and scalability.
Stay up-to-date with the latest developments in machine learning and AI, and apply innovative techniques to improve existing models and processes.
Monitor and evaluate the performance of deployed models, making necessary adjustments and improvements.
Work closely with data analysts, product managers and other stakeholders to understand and address their AI requirements.
Requirements
Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, Engineering or a related field.
3+ years of hands-on experience in machine learning and AI, with a proven track record of developing and deploying models in a production environment.
Strong programming skills in Python.
Strong knowledge of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch)
Experience with data manipulation and analysis using tools like Pandas, NumPy, and SQL.
Experience with cloud platforms (Google Cloud, AWS).
Excellent communication and collaboration skills.
Ability to work independently and as part of a team in a fast-paced environment.
Benefits
- Competitive salary
- Health Insurance
- Pension
- Performance Bonus
- Annual paid vacation
- Group Life Insurance