
Machine Learning Engineer
2 weeks ago
We have an immediate requirement for Machine Learning Engineer position with one of our start-up clients in USA.
Project duration : Long term..
100% remote position.
3-4 hours of Overlap with California business hours PST is required - the more the better.
What you'll do:
- Execute a roadmap for engagement and bid recommendation modeling, balancing innovative modeling approaches with business objectives. Build client scale optimizations to improve advertiser outcomes using cutting-edge techniques in the industry.
- Support the Model development lifecycle from ideation to deployment, ensuring high standards of ML performance and robustness.
- Collaborate Cross-Functionally: Partner with PMs, data scientists, and other engineering teams to align on engagement strategies, data requirements, and model KPIs.
- Innovate in ML Architecture: Implement and optimize model architectures tailored to engagement prediction, leveraging deep learning and advanced ML techniques. Think out-of-the box
What you'll bring:
- 4+ years of contributing high-quality code to production systems that operate at scale.
- Participate the design, development and implementation of complex machine learning solutions/algorithms that drive business results leveraging Python, Nodejs, LLM, NLP Models, Chat GPT or similar platforms, scikit-learn, TensorFlow/Pytorch, Cassandra, BQ, Redis
- Solve complex problems with multilayered data sets, multi batch inferencing. Upholding ML engineering best practices - enforcing high standard for quality, reliability, and security in deployed machine learning solutions.
- Stay up to date with the latest AI/ML technologies and trend - acting as a thought leader for ML Engineering within the organization and in the broader technical community.
- Experience designing optimization algorithms in an ad serving platform and/or other marketplaces is preferred.
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