Python / LLM Specialist

4 days ago

Bengaluru, Karnataka, India Inheaden Full time ₹ 1,80,000 - ₹ 3,60,000 per year

About Inheaden:

We are a growing tech startup with offices in Germany, India, and the UAE. We are looking for someone with a startup spirit who wants to join a truly global organization and help build innovative technology globally. Come, join us, and be part of our community.

Responsibilities:

  • Develop Robust Backend Systems: Design and implement scalable, efficient, and secure backend systems to support AI-driven applications.
  • Integrate Large Language Models (LLMs): Seamlessly integrate LLMs into backend services, ensuring high performance and reliability.
  • Fine-tune and Optimize Models: Continuously fine-tune and optimize LLMs to meet specific project requirements.
  • Build and Maintain APIs: Develop high-performance APIs to facilitate interaction with LLMs and other backend services.
  • Conduct Code Reviews: Ensure the quality, scalability, and maintainability of code through thorough reviews.
  • Evaluate and Test Technology Stacks: Experiment with and assess various technology stacks to identify the best tools for project needs.
  • Support Research Initiatives: Assist in evaluating and implementing cutting-edge research in AI and NLP.
  • Performance Testing: Analyze and optimize the stability and performance of models like LLAMA3.1/LLAMA3.2.
  • Contribute to System Architecture: Play a pivotal role in designing the architecture for systems combining AI, DevOps, and software engineering principles.

Qualifications:

To excel in this role, you should bring:

  • Strong Python Skills: Advanced proficiency in Python, with a focus on backend development.
  • Experience with LLMs: Hands-on experience in setting up, fine-tuning, and integrating open-source LLMs into applications.
  • Backend Development Expertise: Familiarity with frameworks such as Flask, FastAPI.
  • API Development: Proven experience in building and scaling APIs.
  • Knowledge of AI Feedback Systems: Understanding of RLHF and related AI training methodologies.
  • Familiarity with Data Science Tools: Knowledge of data science workflows and tools like Pandas, NumPy, and visualization libraries; experience with DataIKU is a plus.
  • Problem-Solving Skills: Ability to create simulations, visualize data, and address complex technical challenges effectively.
  • Startup Mindset: Adaptability, proactiveness, and eagerness to thrive in a fast-paced startup environment.

Benefits:

  • Opportunity to work with a global organization and to grow into a leadership position.
  • Engage in an interesting job with a growing scale-up in a future-proof industry.
  • Enjoy flexible working hours and the possibility of offsite work and workations.
  • Receive on-the-job training to enhance your skills.
  • Access to free drinks and snacks in the office.
  • Work with the latest hardware setups for a convenient working experience.
  • Receive a gym membership to stay healthy and active.
  • Be part of a fun community with regular team activities.

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