Job details

Lead Engineering Manager

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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.

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.

What You Should Know About Lead Engineering Manager, Weekday AI

Are you ready to take the lead in shaping the future of AI? We're looking for a passionate and technically proficient Lead Engineering Manager to join our growing AI team at Weekday's client. In this exciting role, you'll engage with cutting-edge technologies while bringing your deep expertise in Natural Language Processing (NLP) to the table. As a Lead Engineering Manager, you'll not just manage a team; you will architect innovative solutions, write code, and steer strategic initiatives that will directly impact our AI products. With at least 9 years of experience under your belt, including a solid 4+ years in NLP and deep learning, you'll be mentoring high-performing engineers while driving the design and deployment of scalable NLP models using PyTorch and Python. You’ll facilitate collaboration with cross-functional teams, ensuring alignment on business goals and technical feasibility. Your skills will be instrumental in conducting design reviews and keeping coding standards high, while also translating the latest academic advancements in AI into real-world applications. This is a unique opportunity to own the end-to-end delivery of complex AI systems, refine the AI roadmap, and directly influence our long-term vision. If you’re excited about deploying machine learning models, guiding teams, and being part of an AI-first organization, apply today and become a key player in a flexible, collaborative environment that fosters innovation.

Frequently Asked Questions (FAQs) for Lead Engineering Manager Role at Weekday AI

What responsibilities does the Lead Engineering Manager at Weekday's client have?

The Lead Engineering Manager at Weekday's client is responsible for leading and mentoring a team of software engineers and data scientists, driving the design and deployment of scalable NLP models using PyTorch and Python. This role encompasses end-to-end delivery of complex AI/ML systems, collaborating with cross-functional teams, conducting code reviews, and optimizing models for performance in production environments.