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AI/ML Engineer
Skills
Computer ScienceAlgorithmsComputer VisionData ScienceDeep LearningKubernetesMlops
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- 4+ years of machine learning experience to include building production-grade machine learning models in industry /research settings
- Strong programming skills in Python and deep-learning
- Experience building end-to-end scalable ML infrastructure with on-premise / cloud platforms.
- Familiar with Kubernetes and/or similar container system
- Strong math and analytical skills, with business acumen
- Strong communication and presentation skills
- Good problem-solving abilities
- BSc or BA degree in Computer Science, Engineering or other relevant area; graduate degree in Data Science or other quantitative field is preferred
Nice to have
- Critical thinking
- Highly Analytical
- Passionate about machine learning
- Team leadership
Day to day
- Lead the machine learning team, offering coaching and mentorship
- Build scalable infrastructure for training, evaluating, and serving models
- Research and analyze valuable data sources and automate processes
- Perform preprocessing of structured and unstructured data
- Create predictive models and machine-learning algorithms
- Develop and suggest solutions and strategies to business challenges