Advanced AI Solutions Developer

1 day ago

Kozhikode, Kerala, India beBeeMachineLearning Full time ₹ 1,80,00,000 - ₹ 2,20,00,000
Job Title: AI/ML Engineer-Gen AI

We are seeking an experienced AI/ML Engineer with a strong background in Generative AI (GenAI), Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) implementation.

  • The ideal candidate will play a key role in designing, developing, and deploying cutting-edge AI solutions that leverage state-of-the-art machine learning techniques to solve complex problems.
Responsibilities:
  • Design, develop, and optimize LLM-based applications with a focus on RAG pipelines, fine-tuning, and model deployment.
  • Implement GenAI solutions for text generation, summarization, code generation, and other NLP tasks.
  • Develop and optimize ML models, leveraging classical and deep learning techniques.
  • Build and integrate retrieval systems using vector databases like FAISS, ChromaDB, Pinecone, or Weaviate.
  • Optimize and fine-tune LLMs (e.g., OpenAI GPT, LLaMA, Mistral, Falcon) for domain-specific use cases.
  • Develop data pipelines for training, validation, and inference.
  • Work on scalable AI solutions, ensuring performance and cost efficiency in deployment.
  • Collaborate with cross-functional teams to integrate AI models into production applications.
Required Skills & Qualifications:
  • 3+ years of experience in AI/ML development.
  • Strong proficiency in Python and ML frameworks like TensorFlow, PyTorch, or Hugging Face Transformers.
  • Hands-on experience with LLMs, GenAI, and RAG architectures.
  • Experience working with vector databases (e.g., FAISS, Pinecone, ChromaDB).
  • Knowledge of ML algorithms, deep learning architectures, and NLP techniques.
  • Familiarity with cloud platforms (AWS, GCP, or Azure) and AI/ML model deployment.
  • Experience with LangChain or LlamaIndex for LLM applications is a plus.
  • Strong problem-solving skills and the ability to work in a fast-paced environment.
Benefits:
  • Healthcare policy covering your family and parents.
  • Enjoy scrumptious buffet lunch at the office every day.
  • Hybrid work policy: Beat the everyday traffic commute. A 3-day in-office and 2-day WFH policy based on your roles and responsibilities.
  • Learn and propel your career. Workshops, funded online courses, and other learning opportunities based on individual needs.
  • Recognition and rewards programs in place to celebrate your achievements and contributions.

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