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Chief Architect of Machine Learning

3 weeks ago

Rajahmundry, Andhra Pradesh, India beBeeArtificial Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
Job Title:

Vice President of Artificial Intelligence

Description:

We are seeking an experienced AI leader to spearhead our machine learning initiatives. The successful candidate will be responsible for designing and overseeing the architecture of large language models, ensuring alignment with business objectives.

The ideal candidate will have a deep understanding of AI, ML, NLP, and large language models, as well as expertise in software architecture, cloud proficiency, data architecture, MLOps, leadership, and problem-solving.

Key Responsibilities include:

  • Design & Oversee AI Architecture: Develop the overall architecture for LLMs, considering scalability, modularity, and security principles.
  • Technical Strategy & Roadmap: Define the technical strategy and create a roadmap in line with organizational goals.
  • Technology Selection: Decide on the technology stack, frameworks, and tools for LLM development and deployment.
  • Integration Management: Oversee integration of data pipelines, model training environments, and deployment infrastructure.
  • Risk Management: Identify potential technical risks and define mitigation strategies.
  • Collaboration: Work with data scientists, engineers, domain experts, and stakeholders for cohesive implementation.
  • Innovation & Best Practices: Stay updated with AI advancements and incorporate best practices to improve LLM capabilities.
Required Skills:
  • Ai/Ml Expertise: Deep knowledge in AI, ML, NLP, and large language models.
  • Software Architecture: Strong grasp of scalability, modularity, and security principles.
  • Cloud Proficiency: Hands-on experience with cloud platforms.
  • Data Architecture: Knowledge of big data technologies, data pipeline design, and data management practices.
  • Mlops: Expertise in CI/CD, deployment, and monitoring for ML models.
  • Leadership: Ability to guide technical teams and communicate effectively with stakeholders.
  • Problem-Solving: Strong analytical skills for addressing complex technical challenges.