Lead Large Language Model Developer

3 days ago

Kolkata, West Bengal, India beBeeExpertise Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Job Title:

Artificial Intelligence Visionary

">Job Description:

We are seeking an experienced AI leader to spearhead our Large Language Model (LLM) initiative. As the AI Visionary, you will be responsible for designing and overseeing the overall architecture of our LLM, ensuring seamless alignment with business objectives.

The ideal candidate will possess 16+ years of experience in AI/ML, NLP, and large language models. Strong expertise in software architecture, cloud proficiency, data architecture, MLOps, leadership, and problem-solving skills are essential.

Key Responsibilities:

  • AI Architecture Development: Develop the overall architecture for the LLM, ensuring alignment with business objectives.
  • 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.
  • Research & Evaluation: Conduct in-depth research on LLM architectures, including open-source and domain-specific models like GPT, BERT, and FinBERT.

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 AWS, Azure, or Google Cloud.
  • 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.

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