Senior Machine Learning Engineer
hace 6 días
We are seeking a highly skilled Machine Learning Engineer to join our team at Internetwork Expert. As a key member of our engineering team, you will be responsible for building and deploying scalable multimodal ML models, mentoring fellow engineers, and contributing to our technical roadmap.
Key Responsibilities- Design, implement, and fine-tune large language and vision models, as well as multimodal approaches.
- Develop and deploy solutions iteratively, from proof-of-concept to minimum viable product to full-scale production.
- Translate business requirements into technical specifications for language, vision, or multimodal solutions.
- Provide technical mentorship to other ML engineers and researchers.
- Collaborate with ML DevOps engineers to integrate your work into our infrastructure, including automating observability, deployment, quality, and security.
- 5+ years of professional experience in ML.
- Proven experience with the entire modeling lifecycle: building, evaluating, debugging, and productionalizing large ML models.
- Strong experience with fine-tuning and deploying LLMs and large vision models.
- Experience with generative vision and language models.
- Strong understanding of ML fundamentals: bias-variance tradeoffs, loss functions, evaluation metrics, etc.
- Bachelor's Degree or an equivalent in a technical or related field from an accredited college or university, or equivalent job experience.
- Excellent communication, listening, and presentation skills to engage with diverse audiences and support and mentor peers.
- Strong grasp of the math required for ML (linear algebra, probability theory, statistics, matrix calculus).
- Software engineering/development experience with large-scale distributed systems.
We are a company that values diversity and is committed to creating an inclusive environment for all members of our team. We celebrate our differences and believe that they are a key driver of innovation and success.
We are a fully remote company with flexible working hours, and we offer a pleasant, modern development and deployment workflow. We are a flat organization with direct interaction with customer teams, and we are committed to creating a high-impact environment where our employees can grow and thrive.
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