ML Engineer

3 years

0 Lacs

Posted:1 month ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Anuvaya Labs🎯 MissionIt’s hard to break down a company’s mission. It cannot be a particular value prop because value prop is iterative; so is your customer ICP. It cannot be a product because companies launch different several products over time.What we believe doesn’t change is the companies DNA and its values. Our mission is to create AI first experiences in professional services for consumer use cases of Indians globally.

Our Values

Users ≫ Σ

We speak to our users, have no judgements, and are obsessed with understanding them deeply.

Obsession Over Craft

Obsession is in the details and higher the obsession, more the details seem non-existant.

First Principles Thinking

We challenge status quo by breaking down problems to their fundamental truths, grounded in logic.

Talent-First

If you break down a company to its smallest unit, its the people. We are people first and strongly believe people is going to be our moat.Vaya - Our First ProductOur first product is Vaya - where we are reimagining the astrology market, AI first. On our app, consumers speak with AI personas, based on actual human astrologers. We care deeply about the problems we get to work on, both from a technical perspective as well as for our users. Technically we have several problems to solve, the biggest being what we call “human intelligence” - AI today knows a little bit of astrology but doesn’t have agency, opinions, EQ, different perspectives on the same knowledge and many more. Astrology is a huge belief system guiding hundreds of millions people, with important decision making and through uncertainty. We don’t take our responsibility in this space for granted.What You’ll Do:
  • Research, train, and fine-tune large language models for conversational and task-oriented applications.
  • Build and optimize data pipelines for dataset creation, curation, and evaluation.
  • Experiment with new architectures, prompting techniques, and fine-tuning strategies to improve reasoning, personality, and safety.
  • Collaborate closely with product and engineering teams to integrate cutting-edge models into production environments.
  • Ship fast: transforming research insights into real-world, high-performance systems.
About You:
  • 3+ Years of experience working with machine learning and NLP, with a focus on LLMs and conversational AI.
  • Strong foundation in deep learning, transformer architectures, and text-based generative models.
  • Experience with fine-tuning, RLHF, RAG pipelines, and evaluation of model outputs.
  • Proven ability to curate and clean datasets at scale, and understand the nuances of data quality in conversational systems.
  • Skilled at turning research ideas into production code, comfortable moving between prototypes and deployable systems.
  • Deep curiosity for how humans and AI communicate: you think about prompt design, dialogue flow, and emergent behavior.
  • Excellent problem-solving and communication skills, with the ability to work in a fast-paced & high ownership environment.
Work-life balance. Boundaries. Weekends. Not how obsession works.
If this is just a job to you, it’ll feel like hell here.If that didn’t scare you off, you’re probably one of us.

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