MLOps Engineering Expert — Custom AI Solution Development

hace 2 semanas


Santiago, Metropolitana, Chile Multimodal, Inc. A tiempo completo
Unlock the Power of Large Language Models

Multimodal, Inc., a leading generative AI enterprise software company based in New York City, is revolutionizing complex knowledge tasks and workflows for enterprises in the banking, insurance, and healthcare sectors.

We develop custom AI agents that utilize state-of-the-art large language models to automate manual, repetitive knowledge-based workflows involving documents and databases. Our applications include document classification and processing ('Document AI'), decision making using multiple data streams ('Decision AI'), retrieving information from documents and databases for end users via a conversational interface ('Conversational AI' and 'Database AI'), and generating new content based on company-specific data ('Content AI').

By integrating AI into our clients' workflows, we help them modernize their workforce and achieve enterprise-wide automation with superhuman accuracy and near-real-time decision making.

We pride ourselves in being fast (delivering ROI in as little as 3 months), effective (surpassing human-level performance), and reliable (partnering with our clients for the long term).

About This Role

As an MLOps Engineer at Multimodal, you will design and develop solutions for clients across many use cases and verticals, leveraging state-of-the-art large language models.

This includes:

  1. Exploring client's product vision and needs
  2. Evaluating possible approaches to solving the problem and deciding on the best course of action (best defined as fast, economical, and effective)
  3. Working with our internal product team to develop both consumer-facing and business-facing products
  4. Designing, implementing, and maintaining automated CI/CD pipelines for ML models
  5. Designing and implementing model deployment and monitoring strategies
  6. Working closely with our machine learning and engineering teams to improve the efficiency and scalability of our ML workflows
  7. Developing techniques to train and serve models faster
  8. Deploying models as API

You may be a good fit if you have:

  1. Proficiency in Python and related ML frameworks such as PyTorch and Tensorflow
  2. Proficiency with large language models such as OpenAI's GPT-3.5, GPT-4, Meta's Llama 1 and Llama 2, Vicuna, Koala, Wizard, Falcon, RedPajama, Anthropic's Claude 1 and Claude 2, GPT-J, GPT-NeoX, T5, Flan-UL2, and others
  3. Familiarity with autoregressive sequence models, such as Transformers
  4. Experience with Hugging Face, Weights & Biases, LangChain, Pinecone, and similar libraries
  5. Experience using large-scale distributed training strategies
  6. Experience with writing production-ready code, using CI/CD, and deploying models on major cloud platforms such as AWS, GCP, and Azure and specialty GPU players such as Coreweave, Lambda Labs, Modal Labs, and OctoML
  7. Experience using Kubernetes and Docker
  8. Aware of and experience with specialized hardware providers such as Cirrascale, Cerebras, SambaNova, and GraphCore
  9. Experience using GPUs such as A100s and H100s
  10. Strong written and oral communication and problem-solving skills
  11. A demonstrated passion for applied NLP models and products
  12. PASSION FOR LEARNING AND APPLYING THE LATEST IN LLM AND NLP RESEARCH
Benefits

We offer a highly competitive salary, estimated at around $150,000 per year, depending on experience. You'll also enjoy a comprehensive benefits package, including health insurance, retirement planning, and paid time off.



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