CodeRound AI

𝗔𝗯𝗼𝘂𝘁 𝘁𝗵𝗲 𝗷𝗼𝗯

This role is for one of our client companies — a VC-backed Construction Technology (ConTech) startup that has raised $49.7M USD in funding.

𝗦𝗮𝗹𝗮𝗿𝘆: Up to 40LPA

Apply once and, if selected, get access to up to 20 remote and onsite interview opportunities.

 

🚀 𝗪𝗵𝗮𝘁 𝗪𝗲'𝗿𝗲 𝗕𝘂𝗶𝗹𝗱𝗶𝗻𝗴

CodeRound AI matches the top 5% tech talent with the fastest-growing, VC-funded AI startups across Silicon Valley and India.

 

Top-tier product startups across the US, UK, EU, UAE, and India have hired top engineers through CodeRound.

 

🚀 𝗦𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 - 𝗜𝗜 (𝗔𝗜) (3+ 𝗬𝗲𝗮𝗿𝘀 𝗼𝗳 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲)

As an SDE-II AI Engineer, you will sit at the intersection of our AI Research and Engineering teams, owning the path that takes computer vision, NLP, and multi-modal models from research prototypes to reliable, scalable production systems.

 

🧩 𝗪𝗵𝗮𝘁 𝗬𝗼𝘂'𝗹𝗹 𝗗𝗼

* Own the end-to-end MLOps lifecycle, from model packaging and CI/CD to deployment, monitoring, and rollback for computer vision, NLP, and multi-modal models.
* Design and maintain scalable training and inference pipelines for large datasets and models, optimizing for cost, latency, and throughput.
* Build and manage containerized deployment infrastructure (Docker, Kubernetes) for hosted deep learning and geoprocessing services.
* Set up and maintain experiment tracking, model registry, and versioning systems to ensure reproducibility across the research-to-production lifecycle.
* Implement model monitoring and observability — drift detection, performance degradation alerts, logging, and dashboards, for models running in production.
* Apply model optimization techniques (quantization, pruning, knowledge distillation) to improve inference efficiency in production.
* Collaborate with Research Engineers, Backend Engineers, and Product teams to translate research ideas into deployable, production-ready services.
* Develop and maintain infrastructure-as-code, monitoring, and logging for all deployed ML/AI software.

 

✅ 𝗬𝗼𝘂'𝗿𝗲 𝗮 𝗚𝗿𝗲𝗮𝘁 𝗙𝗶𝘁 𝗜𝗳 𝗬𝗼𝘂

* 3+ years of experience in MLOps, ML infrastructure, or applied AI/ML engineering, with exposure to Computer Vision or NLP systems.
* Hands-on experience with workflow orchestration frameworks (preferably Temporal) for building reliable, fault-tolerant, long-running distributed workflows.
* Strong proficiency in Python and hands-on experience with ML frameworks such as PyTorch, TensorFlow, OpenCV, or HuggingFace Transformers.
* Hands-on experience with Docker, Kubernetes, and containerized ML deployment pipelines in production environments.
* Experience building and maintaining CI/CD pipelines for ML systems (e.g., Jenkins, GitHub Actions, GitLab CI).
* Working knowledge of experiment tracking and model registry tools (e.g., MLflow, Weights & Biases, DVC).

 

✨ 𝗪𝗵𝘆 𝗝𝗼𝗶𝗻 𝗨𝘀?

* Own meaningful product decisions from day one at a funded startup
* Work with a sharp team shipping fast in a high-growth environment
* Accelerate your career with outsized responsibility and visibility
* Build something that scales — not slide decks

Computer Vision

Docker

Software Development

Kubernetes

Continuous Integration

Python

Infrastructure

Deep Learning

Wireframing/prototyping

TensorFlow

Research

Jenkins

PyTorch

OpenCV

GitLab

MLOps

Huggingface

CI/CD

GitHub Actions

MLflow

Weights & Biases

Experimentation

Infrastructure as Code

Software Engineer II (AI | Up to 40LPA)