Experience
5 - 10 yrs
Job Location
Ahmedabad, India
Vacancy
1
Designation
Ai Ml Engineer
Job Type
Not specified
Job Description
Job Summary
You will build and improve the models we run ourselves. You will fine-tune, evaluate, and optimize open-source and custom models, and work closely with our applied and platform engineers to turn them into reliable production systems. Our stack: Python and Node.js (TypeScript) services across Azure and Google Cloud, a React front end, and a mix of hosted AI APIs (Azure OpenAI, Vertex AI) and self-hosted open-source models on our own GPUs.
Experience Required: 5+ Years - Position: Permanent role
Key Responsibilities - Fine-tune and evaluate open-source ML / deep-learning and large language models for our specific use cases in construction-related software development.
- Build and maintain data pipelines, training loops, and evaluation harnesses.
- Run experiments, track results, and iterate on model architecture, data, and hyperparameters.
- Optimize models for accuracy, latency, and cost, and prepare them to be served on our GPUs.
- Partner with our applied and platform engineers to deploy and serve models reliably at scale.
- Must have Experience: Mid-level or above typically 3+ years in ML/AI, including hands-on model training, fine-tuning, or evaluation.
- Strong foundation in machine learning and deep learning fundamentals.
- Hands-on experience with Python and frameworks such as PyTorch or TensorFlow.
- Proven experience fine-tuning and evaluating open-source models (LLMs or transformers) for real use cases.
- Experience preparing models for production, serving and optimizing them on GPUs (e.g. quantization, batching).
- Solid understanding of data preparation, experiment design, and evaluation metrics.
- Strong communication skills and the ability to collaborate across engineering, product and design.
- Comfortable working in a fast-moving environment with evolving requirements.
- A bias toward writing clean, tested, maintainable code (or reproducible analysis).
- Experience with distributed training or advanced optimization (distillation, LoRA / PEFT).
- Familiarity with model-serving frameworks (vLLM, Triton) and GPU infrastructure on Azure or Google Cloud.
- Publications, competition results, or open-source contributions in ML.
- Computer Science degree in Artificial Intelligence from a reputable university or an equivalent experience.
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