AI Model Optimization Engineer

2 weeks ago


Bengaluru, Karnataka, India C4Scale Full time
About C4Scale

We are a cutting-edge technology company that seeks passionate engineers to join our team. Our goal is to leverage AI/ML technologies to solve real-world problems.

Job Overview

This role will focus on designing, developing, fine-tuning and optimizing Generative AI LLM Models & applications, leveraging state-of-the-art technologies to drive business growth and innovation.

Key Responsibilities
  • Fine-tune large language models (LLMs) on code and text datasets to optimize performance for specific use cases and applications.
  • Develop and deploy LLM-based and NLP applications using state-of-the-art AI/ML technologies.
  • Design and maintain scalable Python API backends to serve models in production environments, ensuring high performance, scalability, security and reliability.
  • Conduct experiments to improve model accuracy, efficiency, and latency through hyperparameter tuning, optimization techniques, and advanced training strategies.
  • Collaborate with product teams to align AI capabilities with business goals.
  • Monitor, evaluate, and fine-tune deployed models to ensure they meet KPIs and deliver an excellent user experience.
Required Skills and Qualifications
  • A minimum of 4 years of overall experience, including at least one project involving fine-tuning models.
  • Strong experience building domain-specific LLMs with fine-tuning and deploying large language models like GPT, LLaMA, Mistral, T5, or similar.
  • Proficiency in Python and experience with frameworks like PyTorch or TensorFlow for AI/ML development.
  • Expertise in building and managing APIs using Python-based frameworks such as FastAPI, Flask, or Django.
Preferred Qualifications
  • Solid understanding of transformer architectures and knowledge of pre-training, fine-tuning, and transfer learning methodologies.
  • A proactive approach to solving complex problems, coupled with excellent collaboration and communication skills.
  • Understanding of containerization and orchestration technologies (Docker, Kubernetes).
What We Offer
  • A competitive salary range: $140,000 - $200,000 per annum, depending on experience.
  • A MacBook Pro laptop.
  • An opportunity to work on cutting-edge technologies and challenging projects.
  • A collaborative and inclusive work environment.
  • Continuous learning and professional development opportunities.


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