Machine Learning Engineer ML Data
Machine Learning Engineer ML Data
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Salary Not Disclosed
1 Vacancy
Job Description
- Experience writing mission-critical code for production machine learning systems.
- Experience building production data services/pipelines using distributed processing systems like Spark.
- Experience with distributed systems (e.g Ray Spark Kubernetes).
- Experience working on distributed systems where scalability and performance are critical.
- Experience building AI/ML tooling and/or data infrastructure for AI/ML.
- Experience building and scaling cloud-based architectures.
- Experience performance tuning & trouble-shooting.
- Strong problem solving and debugging skills.
- Strong data modeling and data architecture skills.
- Pride in building automation and development tools.
- Familiarity with CI/CD tooling.
- PhD in Computer Science with 2 years contributing to production machine learning systems or MS in CS with 4 years of engineering experience and 2 years contributing to production machine learning systems or (c) BS in CS with 5 years of engineering experience and 2 years contributing to production machine learning systems.
- Ability to communicate effectively both written and verbal with technical and non-technical multi-functional teams
- Results oriented with a desire to work in a fast-paced and collaborative work environment
- Experience building production machine learning models using frameworks like PyTorch TensorFlow is highly desired
- Prior experience in advertising industry is a huge plus
Employment Type
Full-Time
