Lead Machine Learning Engineer

Sorry, this job was removed at 05:43 p.m. (UTC) on Monday, Oct 05, 2026
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Bengaluru, Bengaluru Urban, Karnataka, IND
In-Office
5M-10M Annually
Expert/Leader
Artificial Intelligence • HR Tech • Professional Services • Software
The Role
Leads the design, development, deployment, and monitoring of production-scale machine learning and generative AI solutions. Builds predictive models, recommendation systems, NLP and deep learning applications, RAG architectures, agentic systems, multi-agent frameworks, and fine-tuning pipelines. Drives the data science lifecycle, MLOps, model governance, scalability, and production optimization while collaborating with Product and Engineering teams. Experience optimizing and maintaining LLM systems, including cost and latency improvements, is emphasized.
Summary Generated by Built In

This role is for one of Weekday’s clients
Salary range: Rs 5000000 - Rs 9900000 (ie INR 50 - 99 LPA)

Min Experience: 10+ years
Location: Bengaluru
JobType: full-time


Requirements

Key Responsibilities:

Machine Learning & Data Science

• Design, develop, and deploy end-to-end ML solutions at scale.

• Build and optimize predictive models, recommendation systems, NLP solutions, and deep learning applications.

• Drive the complete data science lifecycle:

• Problem formulation

• Data exploration

• Feature engineering

• Model training

• Evaluation


Generative AI

• Build enterprise-grade GenAI applications using:

• OpenAI

• Azure OpenAI

• Anthropic Claude

• Llama

• Mistral

• Gemini

• Design and implement:

• RAG architectures

• Agentic AI systems

• Multi-agent frameworks

• Prompt engineering strategies

• Fine-tuning pipelines

Key Responsibilities:

• Design, build, deploy, and monitor production-grade ML solutions

• Develop AI/ML applications using modern ML and GenAI frameworks

• Build and optimize end-to-end ML pipelines

• Collaborate with Product and Engineering teams to deliver business impact

• Drive best practices in MLOps, model governance, and scalability

Preferred Skills:

• Python, SQL, Spark

• ML/DL frameworks (PyTorch, TensorFlow, Scikit-learn)

• LLMs, RAG, Agentic AI

• Docker, Kubernetes, Cloud Platforms (AWS/Azure/GCP)

• MLOps and model deployment

• Production deployment

• Excellent communication skills and ability to work with diverse stakeholders

What Sets You Apart:

• Experience optimizing LLMs for production (cost, latency, scaling)

• Track record of maintaining AI systems in production

• Ability to balance innovation with practical business needs

• Experience with HR/people analytics domain

Must-have skills

Machine Learning, GENAI, Production

Good-to-have skills

Gen AI

Skills Required

  • 10+ years of professional experience
  • Machine learning experience
  • Generative AI experience
  • Production AI/ML deployment experience
  • Python, SQL, and Spark
  • PyTorch, TensorFlow, or Scikit-learn
  • LLMs, RAG, and agentic AI
  • Docker and Kubernetes
  • Experience with AWS, Azure, or GCP
  • MLOps and model deployment
  • Excellent communication and stakeholder collaboration skills
  • Experience optimizing LLMs for production cost, latency, and scale
  • Experience maintaining AI systems in production
  • HR or people analytics domain experience

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The Company
HQ: Stockholm
Year Founded: 2021

What We Do

Weekday is an AI-powered recruitment platform that helps startups hire top-tier engineering and product talent. By leveraging a massive database of white-collar professionals and advanced outreach tools, the company streamlines the hiring process through automated sourcing, AI-driven resume screening, and white-glove contingency services. Their mission is to modernize recruitment by enabling companies to discover and engage passive candidates efficiently, ensuring high-quality hires for critical roles.

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