AI/ML TechLead (LLMs, AWS), $8000 Sign-On Bonus

<span>Provectus 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 &amp; Life Sciences, Retail &amp; CPG, Media &amp; Entertainment, Manufacturing, and Internet businesses.</span><br/><span>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.</span> <h3>Responsibilities:</h3> <ul> <li>Leadership &amp; Management</li>-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.<li>Machine Learning &amp; LLM Expertise</li>-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.<li>AWS Cloud Expertise</li>-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.<li>Technical Execution</li>-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.<li>Team Development &amp; Communication</li>-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.</ul> <h3>Qualifications:</h3> <ul> <li>Proven experience with LLMs and NLP frameworks (e.g., Hugging Face, OpenAI, or Anthropic models);</li><li>Strong expertise in AWS Cloud Services;</li><li>Strong experience in ML/AI, including at least 2 years in a leadership role;</li><li>Hands-on experience with Python, TensorFlow/PyTorch, and model optimization;</li><li>Familiarity with MLOps tools and best practices;</li><li>Excellent problem-solving and decision-making abilities;</li><li>Strong communication skills and the ability to lead cross-functional teams;</li><li>Passion for mentoring and developing engineers.</li></ul> <h3>What We Offer:</h3> <ul> <li>Sing-up bonus 8,000 USD;</li><li>Long-term B2B collaboration;</li><li>Fully remote setup;</li><li>Comprehensive private medical insurance or budget for your medical needs;</li><li>Paid sick leave, vacation, public holidays;</li><li>Continuous learning support, including unlimited AWS certification sponsorship.</li></ul>