Machine Learning Engineer

Weekday (YC W21)

. Design, develop, and deploy production-grade machine learning and Generative AI applications .

Posted 9/24/2026full-timeRemote • IndiaMid-LevelSenior💰 ₹4,000,000 - ₹5,000,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing, developing, and deploying machine learning and Generative AI applications, with strong proficiency in Python and experience in building scalable backend services and APIs. Capable of integrating LLMs and AI automation workflows while ensuring high model performance and reliability.

Highest-signal resume keywords

Machine LearningGenerative AIPython ProgrammingFastAPI DevelopmentCloud Infrastructure Deployment

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Machine LearningGenerative AIPython ProgrammingFastAPIKubernetesGoogle Cloud PlatformPyTorchAPI DevelopmentAI/ML Pipeline DesignModel Evaluation

Soft Skills

CollaborationProblem-SolvingOwnershipAdaptabilityCommunication

Tools & Technologies

FastAPIKubernetesGoogle Cloud PlatformPyTorchContainerization

Industry Keywords

AI EngineeringSoftware EngineeringHealthcare AISaaSResearch

Tech Stack

Tools & technologies

CloudGoogle Cloud PlatformKubernetesPythonPyTorch

About the role

Key responsibilities & impact

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
Develop, evaluate, and improve AI systems using modern ML frameworks and technologies
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
Deploy and scale ML applications using cloud infrastructure and containerized environments
Collaborate with engineering and product teams to translate business problems into practical AI solutions
Evaluate model performance, identify failure modes, and improve accuracy, reliability, latency, and cost
Contribute to technical architecture decisions across ML systems, APIs, infrastructure, and deployment
Take ownership across the complete development lifecycle in ambiguous environments

Requirements

What you’ll need

3–5 years of relevant professional experience in Machine Learning, AI Engineering, Software Engineering, or a closely related field
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
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
Demonstrated experience taking AI/ML solutions from experimentation or prototype through production
Notice period of 30–45 days or less preferred
Founding engineer or startup experience preferred
Experience contributing to published research or open-source LLM/agent projects is a strong plus
Healthcare or healthcare-AI domain exposure beneficial but not mandatory
Bachelor's degree in a relevant discipline preferred; equivalent practical experience may also be considered
Candidates from AI, ML, software engineering, SaaS, technology, research, or other relevant domains are welcome