
Machine Learning and AI Professional
1 week ago
AI Innovation Lead
You will spearhead the development and deployment of cutting-edge AI models, leveraging your deep technical expertise in machine learning and data science to drive innovation across diverse industry domains.
To succeed in this role, you will need 4+ years of hands-on experience developing, deploying, and optimizing machine learning models. Proficiency in Python and libraries/frameworks such as TensorFlow, PyTorch, scikit-learn is essential, as well as familiarity with cloud platforms like AWS, Azure, or GCP.
Your leadership will set high technical standards, shape new AI-driven product offerings, and deliver measurable results aligned with our core values of Outcomes, Quality, Ownership, Accountability, and Communication.
Key Responsibilities:
- Advanced Model Development & Optimization: Build, fine-tune, and optimize traditional machine learning and deep learning models to deliver scalable, production-grade solutions across multiple domains (NLP, Vision, Audio).
- Research & Technical Leadership: Stay current with state-of-the-art machine learning and deep learning research, translating complex theoretical knowledge into practical business applications.
- Strategic Deployment & Monitoring: Lead the development of sophisticated deployment strategies and robust monitoring frameworks, ensuring continuous performance evaluation and iterative improvement.
- Cross-Functional Collaboration: Partner closely with data engineers, AI solutions engineers, software developers, and business leaders to align technical decisions with strategic business outcomes.
- Technical Mentorship: Guide junior engineers and promote high engineering standards, best practices, and continuous learning within the team.
We seek someone who embodies our core values of Accountability, Communication, Outcome, Quality, and Ownership. If you're passionate about driving innovation and delivering tangible impact through AI-driven solutions, we encourage you to apply.
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