Machine Learning Technical Leader
We are seeking a highly skilled Machine Learning (ML) Tech Lead with a strong background in Large Language Models (LLMs) and AWS Cloud services. The ideal candidate will oversee the development and deployment of cutting-edge AI solutions while managing a team of 5-10 engineers. This leadership role demands hands-on technical expertise, strategic planning, and team management capabilities to deliver innovative products at scale.
Responsibilities
-Lead and manage a team of 5-10 engineers, providing mentorship and fostering a collaborative team environment;
-Drive the roadmap for machine learning projects aligned with business goals;
-Coordinate cross-functional efforts with product, data, and engineering teams to ensure seamless delivery.
-Design, develop, and fine-tune LLMs and other machine learning models to solve business problems;
-Evaluate and implement state-of-the-art LLM techniques for NLP tasks such as text generation, summarization, and entity extraction;
-Stay ahead of advancements in LLMs and apply emerging technologies;
-Expertise in multiple main fields of ML: NLP, Computer Vision, RL, deep learning and classical ML.
-Architect and manage scalable ML solutions using AWS services (e.g., SageMaker, Lambda, Bedrock, S3, ECS, ECR, etc.);
-Optimize models and data pipelines for performance, scalability, and cost-efficiency in AWS;
-Ensure best practices in security, monitoring, and compliance within the cloud infrastructure.
-Oversee the entire ML lifecycle, from research and experimentation to production and maintenance;
-Implement MLOps and LLMOps practices to streamline model deployment and CI/CD workflows;
-Debug, troubleshoot, and optimize production ML models for performance.
-Conduct regular code reviews and ensure engineering standards are upheld;
-Facilitate professional growth and learning for the team through continuous feedback and guidance;
-Communicate progress, challenges, and solutions to stakeholders and senior leadership.