Overview
Provectus helps companies adopt ML/AI to transform the ways they operate, compete, and drive value. The focus is on building ML Infrastructure to drive end-to-end AI transformations, assisting businesses in adopting the right AI use cases, and scaling AI initiatives across industries such as Healthcare & Life Sciences, Retail & CPG, Media & Entertainment, Manufacturing, and Internet businesses. 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
* Leadership & Management: 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
* Machine Learning & LLM Expertise: 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 ML fields including NLP, Computer Vision, RL, deep learning, and classical ML
* AWS Cloud Expertise: Architect and manage scalable ML solutions using AWS services (e.g., SageMaker, Lambda, Bedrock, S3, ECS, ECR); 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
* Technical Execution: 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
* Team Development & Communication: Conduct regular code reviews and uphold engineering standards; facilitate professional growth and learning for the team through continuous feedback and guidance; communicate progress, challenges, and solutions to stakeholders and senior leadership
Qualifications
* Proven experience with LLMs and NLP frameworks (e.g., Hugging Face, OpenAI, or Anthropic 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 lead cross-functional teams
* Passion for mentoring and developing engineers
* Familiarity with Amazon Bedrock would be considered a significant plus
What We Offer
* Sign-up bonus 8,000 USD
* Long-term B2B collaboration
* Fully remote setup
* Comprehensive private medical insurance or budget for your medical needs
* Paid sick leave, vacation, public holidays
* Continuous learning support, including unlimited AWS certification sponsorship
Additional Details
* Seniority level: Mid-Senior level
* Employment type: Full-time
* Job function: Accounting/Auditing and Finance
* Industries: Transportation, Logistics, Supply Chain and Storage
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