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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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.







