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AI/ML/LLM Engineer

1 month ago

Gurugram, India HyrEzy Talent Solutions Full time
What to expect

You can expect to do all of the following:

  1. Build pipelines to clean and transform data for RAG
  2. Evaluate multiple models for text classification, sentiment analysis, STT, etc.
  3. Run evals
  4. Clean, prune, and collect datasets to analyze model performance, hallucination rates, recall, etc.
  5. Research and implement SOTA approaches for knowledge graphs and Graph RAGs
  6. Implement inference time reasoning approaches to improve the accuracy of models
Our values
  1. Continuous 360 feedback: Everyone is expected to share constructive critical feedback with everyone else, including the founders.
  2. Product-minded: Everyone shares product ownership, so we expect everyone to do customer outreach, support, and talk to customers for feedback and new features.
  3. Doers over talkers: We spend time figuring out the right direction to take and then execute very fast. No one is too “senior” to do a job - the CTO will code every day, the CEO will sell every day and everyone takes care of customer support on a schedule. We understand the difference between real work and pretense.
  4. Humanity over everything else: We sell the product to businesses, but in reality, we sell it to real humans on the other side. Our end customers are consumers using the product through our UI or integrated with our APIs, so we are building the world’s most human-centric company (no pun intended). Kindness is expected and empathy is the core value we’re looking for.

Requirements

  1. We expect you to have built things from 0 to 1 or 1 to 10.
  2. Experience with AI/ML and LLMs is mandatory.
  3. We don’t read much into your CV, but rather see what you have done in your life so far (side projects, open-source contributions, blogs, etc.). We don’t care about degrees, the institutions you went to, or the companies you worked for before. We are open to talking as long as you have put in the reps, good judgment and clarity, align with our values, and have a strong track record of thoughtful work.
  4. We expect you to have worked with early-stage companies before (0 to 1 or 1 to 10), have an extremely strong bias for action, and have built and/or scaled systems from scratch.

Benefits

Pay and benefits We offer a solid, competitive package (including early-stage equity). We give you the flexibility to choose the split between cash and equity.