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Ai/ml Supervisor
2 weeks ago
Job Duties & Responsibilities:
3. Supervise the implementation of retrieval-augmented generation (RAG) systems, integrating LLMs with organizational knowledge bases and databases.
4. Manage, mentor, and develop a high-performing team of AI/ML Developers and Senior Developers, fostering a culture of collaboration and excellence.
5. Oversee the delivery of AI/LLM projects, ensuring alignment with business objectives, timelines, and resource constraints.
6. Ensure the quality, scalability, and reliability of AI/ML solutions, with an emphasis on addressing unique challenges associated with LLMs.
7. Collaborate with stakeholders to define clear project scopes, objectives, timelines, resources, and deliverables.
8. Establish and refine best practices for AI/ML development, deployment, and monitoring, including guidelines for LLMs (e.g., prompt engineering, fine
- tuning strategies, and ethical considerations).
9. Drive continuous improvement by analyzing project outcomes, identifying gaps, and implementing enhancements in AI processes and deliverables.
10. Anticipate, identify, and mitigate risks associated with AI/ML initiatives, especially those related to LLM deployments and integrations.
11. Ensure strict adherence to data security, compliance, and AI ethics standards across all projects.
12. Promote a culture of innovation, knowledge-sharing, and continuous learning within the AI/ML team, with a focus on keeping pace with advancements in LLMs and broader AI technologies.
13. Foster a growth-oriented environment by identifying training needs, providing learning opportunities, and guiding career development for team members.
14. Collaborate cross-functionally with departments to ensure AI initiatives align with organizational goals and contribute to overall business success.
**Requirements**:
- Bachelor’s degree in computer science, Information Technology, Engineering, Mathematics, or a related field.
- Proven track record of successfully managing AI/ML projects and leading cross-functional teams.
- Expert-level knowledge of AI/ML concepts, algorithms, frameworks, and best practices.
- Advanced proficiency in Python and experience with relevant ML libraries (e.g., TensorFlow, PyTorch, or Scikit-learn).
- Strong understanding of RAG workflows and hands-on experience with vector database technologies.
- Significant experience working with LLMs (e.g., OpenAI, Hugging Face) and integrating them via APIs, open-source frameworks, and cloud platforms.
- Strong project management and stakeholder communication skills, with the ability to translate technical insights into actionable business strategies.
- Deep understanding of software engineering principles, ensuring maintainable and scalable AI/ML solutions.
- Comprehensive knowledge of AI governance, compliance standards, and ethical frameworks.
- Exceptional leadership, interpersonal, and communication skills, with the ability to motivate teams and influence organizational decision-making.
Pay: From E£10,000.00 per month