Senior Machine Learning Solutions Architect

2 weeks ago

Morādābād, Uttar Pradesh, India beBeeArtificialintelligence Full time ₹ 25,00,000 - ₹ 40,00,000
Job Title: AI/ML Engineer-Gen AI

Job Description:

As a seasoned professional in the field of Artificial Intelligence and Machine Learning, we are seeking an experienced engineer to spearhead the design, development, and deployment of cutting-edge AI solutions that leverage state-of-the-art machine learning techniques to solve complex problems.

Key Responsibilities include designing, developing, and optimizing Large Language Model-based applications with a focus on Retrieval-Augmented Generation pipelines, fine-tuning, and model deployment. You will also be responsible for implementing Generative AI solutions for text generation, summarization, code generation, and other Natural Language Processing tasks.

You will work closely with cross-functional teams to integrate AI models into production applications, ensuring performance and cost efficiency in deployment. Your expertise will be instrumental in building and integrating retrieval systems using vector databases like FAISS, ChromaDB, Pinecone, or Weaviate.

Additionally, you will optimize and fine-tune Large Language Models (e.g., OpenAI GPT, LLaMA, Mistral, Falcon) for domain-specific use cases and develop data pipelines for training, validation, and inference.

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.

Benefits:

  • Health and Wellness: Comprehensive healthcare policy covering your family and parents.
  • Food: Enjoy scrumptious buffet lunch at the office every day.
  • Hybrid work policy: Beat the everyday traffic commute with a 3-day in-office and 2-day WFH policy based on your roles and responsibilities.
  • Professional Development: Learn and propel your career with workshops, funded online courses, and other learning opportunities based on individual needs.
  • Rewards and Recognition's: Recognition and rewards programs in place to celebrate your achievements and contributions.

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