We are looking for a highly skilled and experienced ML Engineer to join our team. In this role, you will be responsible for designing, developing, and deploying ML models and algorithms to support our business operations. You will work closely with data scientists, software engineers, and other cross-functional teams to develop, test, and deploy ML models in production.
Key responsibilities:
- Design, develop, and deploy ML models and algorithms to support business operations
- Work with data scientists, software engineers, and other cross-functional teams to develop, test, and deploy ML models in production
- Monitor and optimize ML model performance in production
- Collaborate with data engineers to design and implement data pipelines and infrastructure for ML model training and deployment
- Conduct research and experimentation to develop new ML algorithms and techniques
- Stay up-to-date with the latest ML technologies and best practices, and share knowledge with the team
Requirements:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field
- 5+ years of experience as an ML Engineer or similar role
- Strong programming skills in Python, with experience in popular ML libraries such as TensorFlow and PyTorch
- Experience with deploying ML models in production, using technologies such as AWS SageMaker, Azure Machine Learning, or Google Cloud AI Platform
- Knowledge of data engineering and infrastructure for ML, such as data pipelines, storage, and compute
- Familiarity with experiment tracking, model management, and other MLOps practices
- Excellent problem-solving and communication skills, with the ability to work effectively in a cross-functional team
If you are passionate about machine learning and have the skills and experience we are looking for, we would love to hear from you. Please apply now with your resume and a cover letter outlining why you are a great fit for this role.
