Machine Learning Engineer

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.