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Senior Machine Learning Engineer, Computer Vision
ApellaSenior Machine Learning Engineer specializing in computer vision at Apella. Collaborating with teams to solve healthcare challenges using AI and machine learning techniques.
About the role
Key responsibilities & impact- Collaborate closely with engineering, product, and data science teams to understand business challenges and the potential for machine learning and AI solutions.
- Develop tools and automate manual processes to improve operational efficiency, accelerate experimentation velocity, and minimize human error.
- Build, integrate, and monitor the end-to-end lifecycles of large-scale, distributed machine learning systems.
- Investigate model performance and identify data quality and performance issues.
Requirements
What you’ll need- 5+ years of experience working with machine learning systems, covering the full production workflow and monitoring.
- Experience with designing and building tooling around annotation / curation / management of ML datasets.
- Proficiency in handling real-world, high volume and velocity datasets, particularly familiarity with image and video formats.
- Proficiency in using AI tools and techniques to expedite product development.
- A strong commitment to craftsmanship and producing high-quality work.
- Familiarity with developing SaaS products for business customers.
- Good to have:
- - Experience working in healthcare or other regulated industries.
- - Hands on experience with video ML inference
- - Experience with DAG frameworks
Benefits
Comp & perks- Offers Equity 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
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Hard Skills & Tools
machine learningAI solutionsdata qualitymodel performanceannotation toolscuration toolsmanagement of ML datasetsvideo ML inferenceDAG frameworksSaaS development
Soft Skills
collaborationproblem-solvingcommitment to craftsmanshipattention to detail