
AI/Machine Learning Director
1 dia atrás
We seek a highly skilled Machine Learning Team Lead to join our organization. As a seasoned leader, you will be responsible for managing and mentoring a team of engineers, providing strategic direction and fostering collaboration.
Key Responsibilities:
- Develop and execute the roadmap for machine learning projects aligned with business objectives.
- Collaborate with cross-functional teams to ensure seamless delivery.
Machines Learning Expertise:
- Design, develop, and fine-tune large language models (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.
- Expertise in multiple main fields of ML: NLP, Computer Vision, Reinforcement Learning, deep learning and classical ML.
AWS Cloud Expertise:
- Architect and manage scalable ML solutions using AWS services.
- Optimize models and data pipelines for performance, scalability, and cost-efficiency.
- 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.
- Foster 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.
- Strong expertise in AWS Cloud Services.
- Leadership experience in ML/AI with at least 2 years.
- Hands-on experience with Python, TensorFlow/PyTorch, and model optimization.
- Familiarity with MLOps tools and best practices.
We Offer:
- A competitive sign-up bonus.
- A long-term B2B collaboration.
- A fully remote setup.
- Comprehensive private medical insurance or budget for medical needs.
- Paid sick leave, vacation, public holidays.
- Continuous learning support, including unlimited AWS certification sponsorship.
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