Senior Machine Learning Engineer (Computer Vision)
Synapse Analytics
Employer Active
Posted 12 hrs ago
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Experience
4 - 9 Years
Education
Bachelor of Technology/Engineering(Computers)
Nationality
Any Nationality
Gender
Not Mentioned
Vacancy
1 Vacancy
Job Description
Roles & Responsibilities
Responsibilities
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Lead the product discovery, definition, and delivery of major machine learning initiatives and complex features.
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Design and advocate for significant model architecture decisions, ensuring alignment with the overall business strategy and user needs.
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Set and enforce high standards for machine learning practices, best practices, and principles across the team, leading by example.
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Mentor and coach Machine Learning Engineer I and II colleagues, providing deep technical guidance, fostering their growth, and leading strategic discussions.
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Solve highly complex, ambiguous, and strategic modeling challenges that have a broad impact on the product or the organization.
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Collaborate extensively with senior leadership, engineering, design, and other stakeholders to define requirements, evaluate feasibility, and deliver robust, integrated solutions.
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Identify and address critical market opportunities, user pain points, and competitive threats through machine learning.
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Proactively identify, prioritize, and lead efforts to address model debt and process inefficiencies.
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Research, evaluate, and propose new ML strategies and technologies to improve the product offering and development processes.
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Act as a primary point of contact for complex model-related issues, leading diagnosis and resolution.
Desired Candidate Profile
BS/BA, MS, or PhD equivalent in Computer Science, Engineering, or a related field.
- 4+ years of experience in a machine learning or applied science role.
- Deep expertise in Python and extensive experience with ML frameworks like PyTorch, Tensorflow, and scikit-learn.
- Expert knowledge and experience in defining model vision, strategy, and roadmaps.
- Excellent experience in designing, building, and managing large-scale, production-grade machine learning systems.
- Expert understanding of computer vision, NLP, or another core ML domain relevant to our products.
- Excellent troubleshooting skills, including solving complex user problems and navigating business ambiguities.
- Expert understanding of the end-to-end product development lifecycle.
- Deep knowledge of MLOps, system architecture, and the technical aspects of software development.
- Strong experience in mentoring and developing junior team members.
- Excellent communication skills and experience in stakeholder management and influencing without authority.
Company Industry
- IT - Software Services
Department / Functional Area
- IT Software
Keywords
- Senior Machine Learning Engineer (Computer Vision)
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