Free · takes a minute · your resume fills your profile
CoreHRx never asks candidates for money. If anyone does, .
Sign in to see your fit: the skills, experience and location this job asks for, checked against your profile.
Location: India
Department: ActAIealware
We are reimagining the phone. AI phones need to be proactive, intuitive, intelligent and low cost. This is a mission critical for rest of the world to adopt intelligence.
There are over 5 billion people using everyday applications such as email, messaging, notes, tasks, and calendars, yet most are not AI-native. Our mission is to build proactive applications and devices that bring intelligence into daily conversations, coordination and workflows, with minimal prompting.
Evaluate existing foundation models (e.g. Qwen, Llama, Gemma and other suitable open-weight models) against our target phone use cases.
Identify which capabilities can be handled by existing models and where additional model adaptation or fine-tuning is needed.
Experiment with SFT, LoRA/QLoRA and other lightweight fine-tuning techniques for specific use cases.
Improve model performance for intent recognition, instruction following, tool calling, structured outputs, and multi-step task execution.
Explore synthetic data generation and dataset construction for phone-specific workflows.
Build evaluation datasets and benchmarks to measure model quality, reliability, and task completion.
Compare different models and approaches, including local versus cloud inference.
Work closely with the Agent Runtime team to improve model performance in actual agent workflows.
Strong background in Machine Learning, Deep Learning, or NLP.
Practical experience working with LLMs and open-weight models.
Experience with model fine-tuning, such as SFT, LoRA/QLoRA, and preferably RL or preference optimization.
Experience with PyTorch and common ML tooling.
Understanding of LLM evaluation, benchmarking, and dataset preparation.
Ability to run experiments, analyze model failures, and translate findings into measurable improvements.
Experience with agentic systems, function calling, and tool-use training.
Experience with synthetic data generation and preference datasets.
Experience with model distillation and smaller language models.
Experience with deploying models in production environments.
From live job posts on CoreHRx, updated 14 Nov 2026. Skill figures count posts that list their skills; salary figures only posts that show a salary.
The post does not state the pay. As an estimate, comparable posts on CoreHRx advertise ₹10L – ₹25L a year (typical for IT Jobs in India, 873 posts).
It is a full time job.
Interview preparation · 12 questions
Preparing for an IT or software developer interview in India? This guide covers the rounds companies run, the technical and HR interview questions asked most often for freshers and experienced developers, sample answers you can adapt, and a simple preparation plan.
Questions you may be asked
Create a free profile and we email you new IT jobs, at most once a week.
