Principal Machine Learning Engineer

Job Description

411_3442266

We’re looking for a Principal Machine Learning Engineer to lead the development and deployment of advanced AI systems that power our core products. In this role, you’ll work at the intersection of cutting‑edge research and real‑world impact – transforming complex business challenges into scalable, production‑ready AI solutions.

Discover the Role

• Design & Deploy Models
• Build, train, and deploy high‑impact machine learning models that drive our AI capabilities.
• Leverage Cutting‑Edge AI
• Apply state‑of‑the‑art techniques including Large Language Models (LLMs) and Retrieval‑Augmented Generation (RAG) to solve complex problems.
• Collaborate Cross‑Functionally
• Partner closely with product, engineering, and business stakeholders to translate strategic goals into actionable ML solutions.
• Optimize Performance
• Continuously evaluate, monitor, and improve models based on real‑world performance and evolving business needs.
• Own Data Pipelines
• Develop and maintain robust data pipelines to ensure high‑quality, reliable inputs for model development.

Discover the Requirements

• 8+ years in Machine Learning, AI, Reinforcement Learning, or Data Science roles.
• Master’s or Ph.D. in Computer Science, AI, Data Science, Statistics, or a related field.
• Hands‑on experience with LLMs and advanced fine‑tuning techniques.
• Strong knowledge of ML frameworks such as PyTorch, TensorFlow, or scikit‑learn.
• Experience with Generative AI tools like LangChain, LlamaIndex, Weaviate, or LangGraph.
• Proficiency in Python or R; competitive programming or Kaggle experience is a strong plus.
• Demonstrated success applying machine learning to solve real‑world, business‑critical problems.
• Strong stakeholder management skills and a passion for building inclusive, high‑performing teams.

Apply Now!

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2026-04-01 07:25:45