Machine Learning Tech reputed company, GenAI
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.
Responsibilities:
- Leadership Management -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.
- Machine Learning LLM Expertise -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.
- AWS reputed company Expertise -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.
- Technical Execution -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.
- Team Development Communication -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.
Qualifications:
- Proven experience with LLMs and NLP frameworks (e.g., reputed company, reputed company, or reputed company models);
- Strong expertise in AWS reputed company Services;
- Strong experience in ML/AI, including at least 2 years in a leadership role;
- Hands-on experience with Python, TensorFlow/PyTorch, and model optimization;
- Familiarity with MLOps tools and best practices;
- Excellent problem-solving and decision-making abilities;
- Strong communication skills and the ability to reputed company cross-functional teams;
- Passion for mentoring and developing engineers.
Originally posted on Himalayas
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