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A category-leading, VC-backed AI startup on an exponential growth trajectory, E42 is a no-code enterprise Cognitive Process Automation (CPA) platform to spawn AI co-workers with human-like cognitive abilities that automate processes across enterprise functions and verticals. We have 50+ marquee enterprise customers across the globe, including Fortune 500 companies like Accenture, Tata Communications, Mahindra and Mahindra that have deployed these AI co-workers to automate processes across finance, HR, marketing, customer care, to name a few.

 

With a wide moat in the Cognitive Process Automation space, the platform helps enterprises become intelligent one AI co-worker at a time while propelling E42 as a global leader.

 

E42.ai is a NASSCOM Deep Tech member and has been featured in IDC and Gartner reports, as well as awarded by most of its partners like Microsoft, Oracle, SAP, NVIDIA, and the likes.

 

If you see yourself in a role that can help large enterprises that have already ‘hired’ an AI co-worker built on the E42 platform to calibrate their AI roadmap, automate other processes, and eventually construct an ‘intelligent enterprise’, this opportunity is designed for you.

 

Website: https://e42.ai/ 

LinkedIn: https://www.linkedin.com/company/e42dotai/ 

AI NLP Engineer

Position: Permanent 

Role: AI NLP Engineer  

Experience: 0 -5 years

Must Have: 

  • Strong programming skills in Python 
  • Experience with machine learning frameworks such as TensorFlow, PyTorch, or Keras 
  • Familiarity with document understanding tools such as OCR and text extraction techniques 
  • Solid background in state-of-the-art generative AI, such as large language and multimodal models for different customer use cases 
  • Solid understanding of ML/DL techniques, algorithms, and tools with exposure to CNN, RNN (LSTM), transformers (ViT, BERT, BART, GPT/T5, Megatron, LLMs) 

  

Ways to Stand Out from the Crowd: 

  • Experience with training large deep learning models and inference deployment 
  • Familiarity with GPU-based technologies like CUDA, CuDNN, and TensorRT 
  • Background with Dockers and Kubernetes and deploying machine learning models 
  • Strong analytical and problem-solving abilities, with the capacity to multitask effectively in a dynamic environment 
  • Show willingness and ability to dig into unfamiliar territories to tackle complex problems through examples in previous work 
  • Strong communication and organization skills, with a logical approach to problem-solving, good time management, and task prioritization skills 

  

Roles and Responsibilities: 

  • Apply alignment techniques such as instruction tuning, reinforcement learning from human feedback (RLHF), and parameter-efficient fine-tuning such as p-tuning, adapters, LoRA, and so on to improve use cases 
  • Develop, train, fine-tune, and deploy LLMs for driving embodied conversational AI systems including multimodal understanding, speech synthesis, image generation, and dialog reasoning 
  • Study and develop cutting-edge techniques in deep learning, graphs, machine learning, and data analytics, and perform in-depth analysis and optimization to ensure the best possible performance on current- and next-generation GPU architectures 
  • Measure and benchmark model and application performance and analyze model accuracy and bias and recommend the next course of action and Improvements 
  • Collaborate and innovate with various teams on new product features, improvements of existing products, and participate in developing and reviewing code, design documents, use case reviews, and test plan reviews 

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At E42, creating a safe and healthy working environment takes precedence above all. The company has zero tolerance for prejudice, gender bias, and sexual harassment. For a comprehensive overview of our safety policy, please feel free to contact us at interact@e42.ai

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