
AI Technical Project Lead
9 hours ago
AI Project Manager
Role OverviewWe are seeking a seasoned AI Technical Project Manager to lead AI-driven projects from concept to launch. The ideal candidate will align strategies with business goals and drive solutions through cross-functional collaboration.
This is an exciting opportunity for experienced professionals to join our team and utilize their technical expertise to deliver high-quality AI solutions.
About the Role- Provide technical leadership and guidance throughout the AI project lifecycle, from conception to deployment.
- Serve as the primary technical point of contact for cross-functional teams, including data scientists, engineers, product owners, and stakeholders.
- Develop technical project plans, including resource allocation, technical dependencies, and risk assessments.
- Evaluate technical feasibility of proposed AI solutions and provide recommendations on architecture, technology stack, and implementation approaches.
- Work closely with ML/NLP engineers and data engineers to ensure proper technical implementation of AI models and systems.
- Identify potential technical challenges and proactively develop mitigation strategies.
- Establish technical standards, best practices, and methodologies for AI projects.
- Lead technical discussions, architecture reviews, and code reviews to ensure quality and maintainability.
- Monitor project progress from a technical perspective, addressing bottlenecks and technical debt.
- Bridge communication between technical teams and business stakeholders, translating technical concepts and limitations effectively.
- Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related technical field; Master's degree is a plus.
- Minimum of 4 years of experience in software development or engineering roles, with at least 2 years of experience leading AI/ML projects in a technical capacity.
- Strong technical background with hands-on experience in software development, particularly in AI-related technologies.
- Deep understanding of AI/ML technologies, including large language models (LLMs), natural language processing (NLP), computer vision, and their practical business applications.
- Experience with Retrieval-Augmented Generation (RAG), vector databases, and embedding models for AI applications.
- Proficiency in at least one programming language relevant to AI implementation (Python preferred).
- Familiarity with AI frameworks and libraries (TensorFlow, PyTorch, Hugging Face, etc.).
- Working knowledge of cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
- Experience with agile methodologies and tools (Jira, Confluence, etc.).
- Strong understanding of data requirements for AI projects and experience collaborating with data engineering teams.
- Excellent problem-solving skills with the ability to translate complex technical concepts to non-technical stakeholders.
- Proven track record of successful technical leadership in delivering complex technology projects.
- Outstanding communication and interpersonal skills.
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