Advanced NLP

6 hours ago

India Tiger Analytics Full time

Job Overview

Tiger Analytics seeks a highly skilled Advanced NLP & GenAI Solutions Leader to spearhead the development, deployment, and scaling of cutting-edge AI solutions. As a senior technical leader, you will leverage your expertise in Large Language Models (LLMs), Natural Language Processing (NLP), and model fine-tuning to drive innovation and solve complex real-world problems.

About the Role

  • AI Solution Development: Design and build next-generation AI applications and solutions that address challenges such as hallucinations, bias, and latency while ensuring optimal performance and reliability.
  • LLM Agents & Intelligent Automation: Develop and integrate LLM agents with open-source and in-house tools to create adaptive, AI-powered systems and workflows.
  • End-to-End AI Solution Delivery: Lead the full lifecycle of NLP and GenAI projects, from ideation to deployment and continuous monitoring, to ensure reliable performance in production environments.
  • Advanced LLM Fine-Tuning: Apply cutting-edge techniques such as LoRA, PEFT, and others to fine-tune LLMs for specific business use cases, driving meaningful outcomes as needed.
  • Model Deployment & Scaling: Architect and manage scalable deployment pipelines, ensuring optimal performance through robust monitoring, error handling, and retraining strategies.
  • Team Leadership: Provide strategic leadership and mentorship to a team of data scientists and AI engineers, fostering a culture of excellence, innovation, and collaboration.

What We're Looking For

  • Technical Expertise: Proven experience in hands-on development and leading teams of NLP and GenAI models, with a demonstrated ability to scale solutions in real-world environments.
  • LLM Knowledge: Deep understanding of LLM Models, their fine-tuning, and quantization methodologies.
  • LLM Agents Experience: Practical experience building and deploying AI Agents using open-source frameworks.
  • Model Lifecycle Management: Expertise in deploying, managing, and monitoring machine learning models, with a strong focus on scaling and operationalizing them in production.
  • AI Performance Optimization: Deep expertise in model evaluation, addressing hallucinations, biases, and other performance issues, ensuring continuous model improvement.

Requirements

  • Experience with cloud platforms (AWS, GCP, Azure) for large-scale AI deployments.
  • Strong knowledge of MLOps, CI/CD pipelines, and containerization (Docker, Kubernetes).
  • Proficiency with big data technologies (Spark, Hadoop) and distributed computing frameworks.
  • Excellent communication skills, with the ability to distill complex AI concepts for business stakeholders.

Compensation Package

We offer a competitive salary range of $250,000 - $350,000 per annum, depending on experience, plus additional benefits including health insurance, retirement savings plan, and generous paid time off.

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