Machine Learning Tech Lead

3 weeks ago

Banana, Australia Provectus Full time

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:

  • 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;
  • 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;
  • 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;
  • 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;
  • 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.

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.
Seniority level
  • Mid-Senior level
Employment type
  • Full-time
Job function
  • Engineering and Information Technology
Industries
  • Software Development
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