Machine Learning Engineer

This role is for one of Weekday’s clients Salary range: Rs 4000000 - Rs 5000000 (ie INR 40 - 50 LPA)

Min Experience: 3+ years Location: Remote (India) JobType: full-time

We are looking for a hands-on Machine Learning Engineer to design, develop, deploy, and scale AI/ML systems, with a strong focus on Large Language Models (LLMs), Generative AI, and production-grade AI applications .

The ideal candidate will have strong Python engineering skills and experience building AI applications using modern frameworks and infrastructure. This role is suited for someone comfortable working in a fast-paced, high-ownership environment where requirements may evolve quickly and engineers are expected to take broad ownership from experimentation through production deployment.

You will work on advanced AI systems involving LLMs, multi-agent architectures, intelligent automation, and real-world business workflows.

Requirements

Key Responsibilities

• Design, develop, and deploy production-grade machine learning and Generative AI applications.
• Build and integrate LLM-powered applications, intelligent agents, and AI automation workflows .
• Develop scalable backend services and APIs using Python and FastAPI .
• Work with modern ML frameworks and technologies to develop, evaluate, and improve AI systems.
• Design and implement AI/ML pipelines covering experimentation, evaluation, deployment, monitoring, and optimization.
• Integrate foundation models and LLM APIs into production applications.
• Build reliable AI systems capable of handling complex, multi-step workflows.
• Work with cloud infrastructure and containerized environments to deploy and scale ML applications.
• Collaborate with engineering and product teams to translate business problems into practical AI solutions.
• Evaluate model performance, identify failure modes, and continuously improve accuracy, reliability, latency, and cost.
• Contribute to technical architecture decisions across ML systems, APIs, infrastructure, and deployment.
• Work effectively in ambiguous environments and take ownership across the complete development lifecycle.

Technical Requirements

• Strong proficiency in Python and experience building production software.
• Strong understanding of Large Language Models (LLMs) and Generative AI .
• Hands-on experience with FastAPI or similar Python-based backend frameworks.
• Experience building and deploying production AI/ML applications.
• Understanding of machine learning fundamentals, model development, evaluation, and deployment.
• Experience working with APIs, data pipelines, and scalable backend systems.
• Strong software engineering practices, including testing, debugging, version control, and production deployment.

Infrastructure & ML Stack

• Experience with Kubernetes and containerized application deployment.
• Experience with Google Cloud Platform (GCP) or comparable cloud environments.
• Experience with PyTorch or other modern deep learning frameworks.
• Familiarity with production ML infrastructure, monitoring, and deployment practices is preferred.

Experience

• 3–5 years of relevant professional experience in Machine Learning, AI Engineering, Software Engineering, or a closely related field.
• Demonstrated experience taking AI/ML solutions from experimentation or prototype through production.
• Experience working on LLM, GenAI, agentic AI, or intelligent automation systems is strongly preferred.

Candidate Profile

• Comfortable working in an early-stage or high-growth environment with broad ownership.
• Strong problem-solving and analytical abilities.
• Able to operate effectively with ambiguity and changing requirements.
• Strong communication and cross-functional collaboration skills.
• Demonstrated ability to take ownership of technical problems and deliver production-ready solutions.
• Founding engineer or startup experience is preferred.
• Experience contributing to published research or open-source LLM/agent projects is a strong plus.
• Healthcare or healthcare-AI domain exposure is beneficial but not mandatory.

Education

A Bachelor's degree in Computer Science, Engineering, Machine Learning, Artificial Intelligence, or a related discipline is preferred.

Equivalent practical experience, strong production engineering experience, significant open-source contributions, research work, or startup/founding experience may also be considered.

Candidate Preferences

• Gender: No preference.
• Notice Period: Candidates with a notice period of 30–45 days or less are preferred.
• Current Industry: No specific current-industry requirement. Candidates from AI, ML, software engineering, SaaS, technology, research, or other relevant domains are welcome.

Additional Preferred Criteria

• Founding engineer or startup background with demonstrated ability to take broad ownership.
• Published research, technical publications, or meaningful open-source contributions in LLMs, GenAI, agents, or machine learning.
• Experience working on complex AI workflows or multi-agent systems.
• Exposure to healthcare or other highly regulated domains is an advantage.

Must-Have Skills

• Python
• Large Language Models (LLMs)
• FastAPI
• Machine Learning
• Generative AI

Good-to-Have Skills

• Kubernetes
• GCP
• PyTorch
• LLM/Agent Frameworks
• Production ML Deployment
• MLOps
• Open-Source AI/ML Contributions
• Healthcare AI