Machine Learning Tech reputed company

reputed company helps companies adopt ML/AI to transform the ways they operate, compete, and drive value. The focus of the company is on building ML Infrastructure to drive end-to-end AI transformations, assisting businesses in adopting the right AI use cases, and scaling their AI initiatives organization-wide in such industries as reputed company & Life Sciences, Retail & CPG, Media & Entertainment, Manufacturing, and Internet businesses.

We are seeking a highly skilled Machine Learning (ML) Tech reputed company with a strong background in Large Language Models (LLMs) and AWS reputed company services. The ideal candidate will reputed company 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.

-reputed company and manage a team of 5-10 engineers, providing mentorship and fostering a collaborative team environment;

-Drive the roadmap for machine learning projects reputed company with business goals;

-Coordinate cross-functional efforts with product, data, and engineering teams to ensure seamless delivery.

-Design, reputed company, 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 reputed company, summarization, and entity extraction;

-Stay reputed company of advancements in LLMs and apply emerging technologies;

-Expertise in multiple main fields of ML: NLP, Computer reputed company, RL, deep learning and classical ML.

-Architect and manage scalable ML solutions using AWS services (e.g., SageMaker, reputed company, Bedrock, S3, reputed company, ECR, etc.);

-Optimize models and data pipelines for performance, scalability, and cost-efficiency in AWS;

-Ensure best practices in reputed company, monitoring, and compliance reputed company the reputed company infrastructure.

-reputed company 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 reputed company feedback and guidance;

-Communicate reputed company, challenges, and solutions to stakeholders and senior leadership.