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data engineering · healthcare claims auditing

4315078-Senior Manager

Bangalore · Mumbai · Delhi NCR · HybridPosted 23 months ago
Machine learningSenior
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Job Info

  • Job IdentificationEXL-SM-1118305
  • Posting Date08/15/2024, 08:00 PM
  • Experience (In Years)12-15

Job Description

Job Description Designation- AI Data Scientist Role- Permanent/ Full time Experience- 6+ years Location- Noida/ Gurgaon/ Pune/ Bangalore Working Days- 5 days Mandatory Skills- Transformer Models- either finetune or training on Open-Source Transformer based models. Build and fine-tune large-scale language models using PyTorch and modern libraries. Should have done projects on LLM, NLP, LLAMA, Hugging face, RAG, Gen AI. Hands-on on Python coding experience. Should have done Gen AI projects. Machine Learning or Deep Learning (any one is mandatory). Conversational AI/ Chatbot experience and Agentic AI and Vertex.AI (good to have) Skills: Proven experience as an NLP and ML Engineer or similar role Have worked on open-source LLM (like Falcon and llama) for various text generation task Have done SFT or PEFT on decoder based LLM for a specific text generation task Understanding of NLP techniques for text representation, semantic extraction techniques, data structures and modeling Have worked on BERT models for intent classifiers and entity extraction techniques Ability to write robust and testable code Experience with machine learning frameworks (PyTorch) Knowledge of Python, Groovy Script, BPMN An analytical mind with problem-solving abilities Degree in Computer Science, Mathematics, Computational Linguistics or similar field Responsibilities: Study and transform data science prototypes Design NLP applications Use effective text representations to transform natural language into useful features Find and implement the right algorithms and tools for NLP tasks Develop NLP systems according to requirements Train the developed model and run evaluation experiments Perform statistical analysis of results and refine models Extend ML libraries and frameworks to apply in NLP tasks Remain updated in the rapidly changing field of machine learning

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