Machine Learning Tech Lead, GenAI

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August 20

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Provectus

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Artificial Intelligence • SaaS

Provectus is an artificial intelligence consultancy and solutions provider that helps businesses transform through AI. Offering both a use case and a platform approach, Provectus integrates AI into organizations to achieve unique business objectives and technical capabilities. Their solutions are cloud-native, vendor-agnostic, and open, allowing for deployment in customer's cloud without restrictive licenses. With applications in industries like retail, manufacturing, and healthcare, Provectus delivers AI-powered use cases and turnkey solutions to drive innovation and efficiency. They also offer consulting, customization, and managed AI services.

501 - 1000 employees

Founded 2012

🤖 Artificial Intelligence

☁️ SaaS

📋 Description

• 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 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, 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. • 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 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.

🎯 Requirements

• 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.

🏖️ Benefits

• Base Salary: USD 7,000/month (B2B, gross) • Annual Performance Bonus: 10% of base 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)