
AI Technical Project Lead
7 days ago
Are you a seasoned AI technical leader looking for a new challenge?
About the RoleThis AI Technical Project Manager position offers a unique opportunity to lead complex AI projects from concept to launch, aligning technical strategies with business objectives.
As a technical leader, you will bridge the gap between technical implementation teams and business stakeholders, providing technical expertise and guidance throughout the project lifecycle.
- Technical Leadership: Provide technical leadership and guidance throughout the AI project lifecycle, from conception to deployment.
- Cross-Functional Collaboration: Serve as the primary technical point of contact for cross-functional teams, including data scientists, engineers, product owners, and stakeholders.
- Project Planning: Develop technical project plans, including resource allocation, technical dependencies, and risk assessments.
- Technical Feasibility: Evaluate technical feasibility of proposed AI solutions and provide recommendations on architecture, technology stack, and implementation approaches.
- Education: Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related technical field; Master's degree is a plus.
- Experience: 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.
- Technical Skills: Strong technical background with hands-on experience in software development, particularly in AI-related technologies.
- Ai/Ml Technologies: Deep understanding of AI/ML technologies, including large language models (LLMs), natural language processing (NLP), computer vision, and their practical business applications.
- Programming Languages: Proficiency in at least one programming language relevant to AI implementation (Python preferred).
- Ai Frameworks And Libraries: Familiarity with AI frameworks and libraries (TensorFlow, PyTorch, Hugging Face, etc.).
- Cloud Platforms: Working knowledge of cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
- Agile Methodologies: Experience with agile methodologies and tools (Jira, Confluence, etc.).
- Data Requirements: Strong understanding of data requirements for AI projects and experience collaborating with data engineering teams.
- Steep Learning Curve: Opportunities for professional growth and development in a dynamic and innovative environment.
- Collaborative Team: Work with a team of experienced professionals who share your passion for AI and innovation.
- Modern Office: Enjoy a modern and comfortable working environment with state-of-the-art facilities.
We are a strategic technology partner that empowers leading enterprises to innovate with confidence and scale with purpose.
We specialize in transforming complex business challenges into tailored software and AI-driven solutions, built to last, adapt, and lead.
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