
Sr. Machine Learning Engineer
San Mateo, CAFull-timeSeen 1mo agoStill listed 2 days ago
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Job overview
The role sits at the intersection of software engineering and data science, leveraging big‑data tools and programming frameworks to transform raw pipeline data into scalable machine‑learning models, with a focus on machine vision and financial‑services applications.
Skills & qualifications
Skills
Qualifications
Full job description
Sit at the intersection of software engineering and data science. Leverage big data tools and programming frameworks to ensure that the raw data gathered from data pipelines are redefined as data science models that are ready to scale as needed. Prior experience with machine vision and machine learning in financial services is essential. Key Responsibilities:
- Perform statistical analysis
- Fine tuning test results
- Train and retrain systems
- Work on frameworks
- Undertaking machine learning experiments and test
- Designing machine learning programs
- Developing deep learning systems to various use cases based on the business needs and
- Implementing suitable AI/ML algorithms
Skill Requirements:
- Knowledge on basics of math and probability
- Good understanding and strong knowledge in algorithms and statistics
- Appreciation of data modelling, software architecture and data structures and
- Past experience of working in frameworks in last job or internship
Preferred degree in Computer Science, Mathematics or similar courses or fields A demonstrated experience of working in Machine Leaning Jobs before is an added advantage
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