Chief AI Strategist

2 days ago

Allahabad, Uttar Pradesh, India beBeeArtificialIntelligence Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
AI Lead Job Description

We are seeking an experienced and visionary AI Architect/Senior AI Specialist with over 10 years of hands-on experience in Artificial Intelligence, focusing on Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), and Generative AI. The ideal candidate will have deep expertise in AIOps use cases and a strong technical background in leading AI-driven solutions across large-scale, production-ready systems.

  • Job Overview:
  • The successful candidate will be responsible for leading cross-functional AI teams, mentoring junior engineers and researchers, and driving project delivery and innovation.
  • They will also be expected to possess excellent problem-solving and analytical skills, with a focus on results and innovation.
  • Strong communication and collaboration skills are essential, enabling the candidate to work effectively with technical and non-technical stakeholders.
  • Additionally, the ideal candidate should thrive in a fast-paced, dynamic environment while maintaining high standards of quality and performance.
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, 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
  • Familiarity with MLOps tools, Databricks, and cloud-based AI/ML services from Azure, AWS, and Google Cloud Platform (GCP)
  • Demonstrated leadership experience, with the ability to lead cross-functional AI teams and mentor junior engineers and researchers
Preferred Qualifications
  • 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

Skills: ML ENGINEER,PYTHON,NLP,AIML

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