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AI Solutions Architect

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Mumbai, Maharashtra, India beBeeArtificialintelligence Full time ₹ 12,00,000 - ₹ 30,00,000

We are seeking a highly skilled and innovative AI Solutions Architect to lead the design and development of cutting-edge natural language processing (NLP) and large language model (LLM) solutions.

This role involves identifying opportunities to enhance business efficiency and value addition through AI-driven insights. The successful candidate will have strong expertise in NLP, LLM, and data automation, with experience in deploying models as APIs/microservices using FastAPI, Flask, or similar technologies.

  • Key Responsibilities:
  • Design and develop end-to-end NLP/LLM solutions for document parsing, information extraction, and summarization from PDFs and scanned text.
  • Develop AI applications to automate manual and repetitive tasks using generative AI and machine learning.
  • Fine-tune open-source LLMs or build custom pipelines using APIs like OpenAI, Anthropic, or Azure OpenAI.
  • Collaborate with data engineers and software developers to integrate AI models into production workflows.
  • Ensure model performance, accuracy, scalability, and cost-efficiency across business use cases.

Requirements:

  • Bachelors degree in Engineering, Analytics, or a related field, MBA, Computer Applications, IT, Business Analytics, or any discipline.
  • Proven experience of 8-12 years in Python development, with hands-on experience with frameworks and libraries like Transformers, LangChain, PyTorch/TensorFlow, spaCy, Hugging Face, and Haystack.
  • Strong expertise in document parsing, OCR (Tesseract, AWS Textract, Azure Form Recognizer), and entity extraction, with proficiency in Python and familiarity with cloud-based environments (Azure, AWS, GCP).

About You:

  • Able to work independently and collaboratively in a fast-paced environment, with excellent project management and organization skills.
  • Strong attention to detail and ability to work with complex data sets, with excellent communication skills to present findings and insights to both technical and non-technical stakeholders.
  • Ability to positively influence stakeholders, with synthesis skills to connect the dots and answer business questions.