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Machine Learning Tech reputed company, GenAI | $7,000 Sign-On Bonus

100% remote Flexible hours Hiring now
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 Healthcare 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 Cloud 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 Vision, RL, deep learning and classical ML.
  • AWS Cloud 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 cloud 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 Cloud 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.
  • Compensation Package:
  • reputed company Salary: USD 7,000/month (B2B, gross)
  • Annual Performance Bonus: 10% of reputed company salary
  • Sign-In Bonus: USD 7,000 — paid in two installments:
  • 50% upon start (USD 3,500)
  • 50% upon completion of the trial period (USD 3,500)

Originally posted on Himalayas

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