
Chief AI Innovation Officer
22 hours ago
Senior AI Strategist Job Description
Seeking a visionary AI leader with 10+ years of experience in Artificial Intelligence, focusing on Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), and Generative AI.
- Must-Have Skills & Qualifications:
- 10+ years of experience in Artificial Intelligence, specifically in ML, DL, NLP, and Generative AI applications
- Proven expertise in AIOps use cases, including:
- Predictive maintenance
- Anomaly detection
- Incident management
- Strong proficiency in ML frameworks and libraries such as:
- TensorFlow
- PyTorch
- Scikit-learn
- Deep hands-on experience with Generative AI and Large Language Models (LLMs) such as GPT, BERT, or other transformer-based models
- Familiarity with MLOps tools, Databricks, and cloud-based AI/ML services from:
- Azure
- AWS
- Google Cloud Platform (GCP)
- Demonstrated leadership experience, with the ability to:
- Lead cross-functional AI teams
- Mentor junior engineers and researchers
- Drive project delivery and innovation
- Excellent problem-solving and analytical skills with a focus on results and innovation
- Strong communication and collaboration skills, capable of working effectively with technical and non-technical stakeholders
- Ability to thrive in a fast-paced, dynamic environment while maintaining high standards of quality and performance
Preferred Qualifications (Good to Have):
- Experience in AI solution architecture and enterprise-scale deployments
- Familiarity with data governance, model explainability, and AI ethics
- Contributions to open-source AI/ML projects or research publications
Key Responsibilities:
AI Leader Responsibilities:
- Lead cross-functional AI teams to deliver innovative solutions
- Develop and implement AI strategies to drive business growth
- Collaborate with stakeholders to identify business needs and opportunities
- Communicate complex AI concepts to non-technical stakeholders
AI Expertise:
- 10+ years of experience in Artificial Intelligence, specifically in ML, DL, NLP, and Generative AI applications
- Proven expertise in AIOps use cases, including predictive maintenance, anomaly detection, and incident management
- Strong proficiency in ML frameworks and libraries such as TensorFlow, PyTorch, and Scikit-learn
- Deep hands-on experience with Generative AI and Large Language Models (LLMs) such as GPT, BERT, or other transformer-based models
Leadership Experience:
- Demonstrated leadership experience, with the ability to lead cross-functional AI teams
- Ability to mentor junior engineers and researchers
- Drive project delivery and innovation
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