Weekday Ai

Lead Engineering Manager

  • Weekday Ai

Job Description

This role is for one of the Weekday's clients

Min Experience: 9 years

Location: India

JobType: full-time

We are looking for a passionate and technically proficient Lead Engineering Manager to join our growing AI team. This role is ideal for someone who brings deep expertise in Natural Language Processing (NLP), hands-on experience with PyTorch and Python, and a proven track record of leading and mentoring high-performing engineering teams. As a Lead Engineering Manager, you won’t just manage – you will architect, code, and drive strategic initiatives while shaping the future of AI in our organization.

Requirements

What You'll Do:

  • Lead, mentor, and grow a team of software engineers and data scientists focused on building cutting-edge NLP solutions.
  • Drive the design, development, and deployment of scalable NLP models using PyTorch and Python.
  • Own the end-to-end delivery of complex AI/ML systems – from ideation and prototyping to production-grade deployment.
  • Collaborate with cross-functional teams, including product managers, researchers, and data engineers to align on business goals and technical feasibility.
  • Conduct design and code reviews, ensure high coding standards, and guide architectural decisions.
  • Keep abreast of the latest research in NLP, transformer models, LLMs, and AI, and translate academic advancements into real-world applications.
  • Optimize models for performance, scalability, and latency in production environments.
  • Help define and refine the AI roadmap, contributing to the long-term vision of the AI products and platforms.

What We're Looking For:

  • Minimum of 9 years of experience in software engineering with at least 4+ years of hands-on NLP and deep learning experience.
  • Strong programming skills in Python, with expertise in PyTorch and familiarity with modern ML libraries and frameworks.
  • Solid experience building and scaling NLP systems such as named entity recognition (NER), sentiment analysis, summarization, and question answering.
  • Demonstrated experience managing engineering teams, driving delivery, and mentoring team members.
  • Strong understanding of modern machine learning techniques, particularly around transformers, language modeling, and deep learning.
  • Experience in deploying ML models into production environments with performance monitoring and model management.
  • Excellent communication skills – capable of translating technical complexities into business language and vice versa.
  • Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related field. A PhD is a plus.

Nice to Have:

  • Experience working with large language models (LLMs) like GPT, BERT, or T5.
  • Familiarity with cloud platforms such as AWS, GCP, or Azure.
  • Contribution to open-source projects or research publications in NLP.

Why Join Us:

  • Be part of a mission-driven, AI-first organization where your work directly impacts users and business outcomes.
  • Work with a world-class team of researchers and engineers.
  • Enjoy a flexible and collaborative work environment.
  • Opportunity to lead innovation in a fast-paced, cutting-edge domain.