Senior AI/ML Engineer

Senior AI/ML Engineer

About Us

AI-first platform

Key Responsibilities

• Design and build scalable

  NLP pipelines

  ,

  unsupervised clustering models

  , and

  semantic search solutions

  .
• Develop

  vectorization pipelines

  and implement

  RAG (Retrieval-Augmented Generation) architectures

  for efficient information retrieval.
• Fine-tune

  large language models (LLMs)

  and craft effective

  prompt engineering

  strategies for real-world performance.
• Evaluate and optimize AI/ML models using tools like

  LangChain

  ,

  Evals

  ,

  Hugging Face

  , and custom evaluation frameworks.
• Work closely with backend and product engineering teams to integrate AI capabilities into production systems.
• Continuously research and implement advancements in AI, ML, and LLMs to keep the product innovative and competitive.

Requirements

• 3 to 6 years of hands-on experience in

  Machine Learning

  and

  NLP

  .
• Solid experience in

  unsupervised learning techniques

  (clustering, dimensionality reduction, topic modeling, etc.).
• Strong understanding and experience in

  vector databases

  (e.g., FAISS, Pinecone, ChromaDB) and

  RAG system design

  .
• Experience with

  LLM fine-tuning

  ,

  prompt engineering

  , and deployment of AI systems in production.
• Proficiency in

  Python

  and relevant ML/AI libraries such as TensorFlow, PyTorch, Hugging Face, LangChain, and OpenAI APIs.
• Strong analytical and problem-solving skills with an ability to work in a fast-paced environment.
• Prior experience building

  end-to-end AI features

  that are used in real products is a strong plus.

If this sounds like you, we are here to have the next talk. Share your resume on hr@zonkafeedback.com