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Sobre este puesto de Lead Machine Learning Engineer en Weekday AI

Weekday AI · Presencial · Bengaluru, Karnataka, India

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

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Sobre Weekday AI

At Weekday (backed by YC; also Product Hunt #1 product of the day), we are building the next frontier in hiring. We have built the largest database of white collar talent in India and have built outreach tools on top of it to generate highest response rates.

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