Generative AI Engineer

4 days ago


india M0 Full time

Title: Full stack LLM / Backend engineer Remote


About The Company:


Web 3.0 is the next wave of technology breakthroughs to revolutionize human society, with key pillars being decentralized finance (DeFi), NFTs, Metaverse, and decentralized autonomous organization (DAO). The space is growing at breakneck speed with enormous growth potential in years to come. M0 is a Generative Ai, blockchain and web3 technology company exploring big ideas in identity, ownership, utility, DeFi, and interoperability to push the crypto, NFT, and Metaverse space forward. We are looking for the best builders, hackers, innovators, entrepreneurs, visionaries & creatives to come design the future together. This isn't a typical job at M0 you will be challenged to bring out the best version of yourself in bringing to life the creative renaissance of Web3 and Generative AI. We are seeking driven individuals with a hunger for product ownership and impact and the potential for asymmetrical upside in doing so. If you don't know about Web3 yet - it's all good, you're about to define it.


Requirements:


  • Hands-on experience in developing LLM-based applications for both front-end and back-end development using JavaScript, Typescript, Nest and Next js.
  • Hands-on experience on design, and optimizing LLM, RAGS, natural language processing (NLP) systems, frameworks, and tools.
  • Hands-on AI/ML modelling experience of complex datasets combined with a strong understanding of the theoretical foundations of AI/ML both short term and long-term memory-based models.
  • Expertise in most of the following areas: supervised & unsupervised learning, deep learning, reinforcement learning, federated learning, time series forecasting, Bayesian statistics, and optimization.
  • Experience in creating and deploying code libraries using functions and classes in Python and JavaScript MERN AI product-focused development.
  • Comfortable working in the cloud and high-performance computing environments (eg, vector DBs, MLops, AWS/Azure/ GCP, ELK).
  • Well-versed in software development and code quality best industry practices.
  • Experience working with Agile Development methodologies.


Responsibilities:


  • Prototypes and do proof of concepts (PoC) in one or all the following areas: LLMS.
  • Data Analysis and Preprocessing: Collect and preprocess large-scale text corpora to train and fine-tune language models. Conduct data analysis to identify patterns, trends, and insights that can inform model development and improvement.

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