# ML Engineer

> Weekday AI · India (Remote) · Full-time · Posted 2026-09-25

**Salary:** INR 2,500,000–5,000,000

**Workplace:** remote

**Department:** Weekday's Client via platform

## Description

𝗧𝗵𝗶𝘀 𝗿𝗼𝗹𝗲 𝗶𝘀 𝗳𝗼𝗿 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝗲𝗸𝗱𝗮𝘆'𝘀 𝗰𝗹𝗶𝗲𝗻𝘁𝘀

𝗦𝗮𝗹𝗮𝗿𝘆 𝗿𝗮𝗻𝗴𝗲: 𝗥𝘀 𝟮𝟱𝟬𝟬𝟬𝟬𝟬 - 𝗥𝘀 𝟱𝟬𝟬𝟬𝟬𝟬𝟬 (𝗶𝗲 𝗜𝗡𝗥 𝟮𝟱-𝟱𝟬 𝗟𝗣𝗔)

Experience: 3+ yrs

Location: Remote (India)

Job Type: Full-time

We are looking for an experienced **ML Engineer** to design, build, deploy, and maintain advanced **Machine Learning, Large Language Model (LLM), and multi-agent AI systems** that improve healthcare operations and workflows.

The role combines **machine learning engineering, generative AI, backend development, cloud infrastructure, and AI research**. The ideal candidate will have strong hands-on experience building scalable ML systems, developing LLM-based solutions, and deploying production-grade AI services in secure and reliable cloud environments.

## Requirements

Key Responsibilities

-   Design, develop, deploy, monitor, and maintain proprietary **ML models, LLMs, and multi-agent AI systems** for healthcare applications.
-   Develop AI solutions that improve healthcare operations, workflows, efficiency, and service delivery.
-   Customise and fine-tune **open-source LLMs** and integrate enterprise LLM platforms for healthcare-specific requirements.
-   Develop effective **prompting strategies** to improve LLM performance across complex healthcare use cases.
-   Build AI solutions for workflows such as **prior authorisation** and other healthcare operational processes.
-   Develop scalable, secure, and maintainable **Python microservices using FastAPI**.
-   Design and implement RESTful APIs and backend services supporting ML and AI applications.
-   Deploy and orchestrate services using **Kubernetes**, with a strong focus on reliability, scalability, security, and operational performance.
-   Work with **GCP infrastructure** to deploy and manage production AI and ML workloads.
-   Monitor model and service performance and continuously optimise reliability, latency, scalability, and resource utilisation.
-   Research emerging AI and ML techniques applicable to healthcare and translate relevant research into practical solutions.
-   Conduct independent technical research and contribute to **scientific publications and research papers**.
-   Develop intelligent simulation systems that emulate or automate service-led workflows to achieve efficiency and cost improvements.
-   Collaborate with product, engineering, healthcare, and other stakeholders to translate requirements into effective AI solutions.
-   Ensure AI systems follow appropriate **ethical, privacy, security, and healthcare regulatory requirements**.
-   Maintain technical documentation and communicate AI concepts, system capabilities, limitations, and outcomes to technical and non-technical stakeholders.
-   Contribute to continuous improvement of AI engineering practices, model development processes, and production infrastructure.

What Makes You a Great Fit

-   **3–5 years of experience** building scalable ML systems, AI applications, and backend services.
-   Bachelor's degree in **Computer Science, Engineering, or a related discipline**, preferably from a Tier-I institution.
-   Strong hands-on expertise in **Large Language Models (LLMs), prompting, fine-tuning, and Generative AI**.
-   Strong understanding of machine learning concepts and practical experience with **TensorFlow, PyTorch, or similar frameworks**.
-   Experience developing, deploying, monitoring, and optimising production ML models.
-   Strong proficiency in **Python** and hands-on experience with **FastAPI** for building RESTful microservices.
-   Experience with **Kubernetes** and containerised application deployment.
-   Familiarity with **Google Cloud Platform (GCP)** and cloud-based ML/AI infrastructure.
-   Experience building scalable backend systems and production-grade AI services.
-   Ability to conduct independent AI/ML research and contribute to **scientific papers or technical publications**.
-   Strong analytical and problem-solving skills with an ability to translate research into practical engineering solutions.
-   Understanding of AI ethics, healthcare data privacy, security, and regulatory considerations.
-   Excellent written and verbal communication skills, including the ability to explain complex technical concepts to non-technical stakeholders.
-   Strong ownership, collaboration, and execution skills in fast-paced, cross-functional environments.
-   Willingness to travel to the **Vadodara, Gujarat headquarters for approximately one week** when required.

## Apply

[Apply at Weekday AI](https://apply.workable.com/weekday-1/j/9F09CA2AD5/apply)

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