Machine Learning Engineer

🔥 3 minutes ago

🇮🇳 India – Remote

💵 ₹4M - ₹5M / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 20%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Weekday (YC W21)

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2021

💼 Consulting

👥 HR Tech

☁️ SaaS

Consulting • HR Tech • SaaS

Weekday is a modern recruitment platform that combines AI technologies with a vast database of potential candidates, aiming to streamline the hiring process for companies in India. They offer various services, including a proactive outreach approach that helps employers connect with top talent, as well as tools for candidates to easily apply for jobs. Weekday's emphasis on candidate engagement through multiple channels, including email, WhatsApp, and phone calls, sets it apart in the competitive landscape of recruitment agencies.

📋 Description

• 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

• 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