Department
Operations - Labs
Job posted on
Oct 04, 2025
Employment type
FTE
Senior Machine Learning Engineer (NLP):
About Toyota Connected:
If you want to change the way the world works, transform the automotive industry and positively impact others on a global scale, then Toyota Connected is the right place for you! Within our collaborative, fast-paced environment we focus on continual improvement and work in a highly iterative way to deliver exceptional value in the form of connected products and services that wow and delight our customers and the world around us.
About the Team:
Join Toyota Connected India's highly talented engineering team, where we leverage Deep Learning, NLP, and high-performance cloud-based services to transform the customer experience. Our collaborative, fast-paced environment thrives on experimentation, creativity, and continual improvement, building next-generation AI-powered solutions for mobility and customer intelligence.
Our Core Values: EPIC:
Empathetic
: We begin making decisions by looking at the world from the perspective of our customers, teammates, and partners.
Passionate:
We are here to build something great, not just for the money. We are always looking to improve the experience of our millions of customers
Innovative
: We experiment with ideas to get to the best solution. Any constraint is a challenge, and we love looking for creative ways to solve them.
Collaborative:
When it comes to people, we think the whole is greater than its parts and that everyone has a role to play in the success!
Role: As a Senior Machine Learning Engineer (NLP), you will play a key role in designing, developing, leveraging and deploying advanced machine learning and deep learning solutions. You will focus on building scalable NLP models and dialogue systems, collaborating closely with cross-functional teams to deliver AI-driven features that enhance the customer experience for millions of users.
What you will do:
Design and implement machine learning and deep learning models to solve a variety of problems, with a focus on natural language processing.
Build multi-domain and multi-lingual dialogue systems for task-oriented conversational agents, supporting dynamic and personalized customer interactions.
Translate user stories and business requirements into technical solutions by building quick prototypes or proof-of-concepts, and convert these into scalable, production-grade solutions.
Evaluate and select off-the-shelf components versus building custom solutions, collaborating with internal and external stakeholders.
Own delivery of features from concept to code to production, following best practices in development and CI/CD.
Develop tools and libraries to enable rapid and scalable ML development for future use cases.
Work closely with product owners, data engineers, and other team members to deliver innovative AI solutions
You are a successful candidate if you
Demonstrate strong problem-solving skills and technical acumen.
Have 4+ years of experience as ML engineer, with hands-on experience delivering products or solutions utilizing NLP.
Possess deep expertise in a range of deep learning architectures, including transformers, RNNs/CNNs, and transfer learning, with a proven track record of delivering value in real-world production environments.
Have a solid understanding of Agentic Architectures and Large Language Models (LLMs).
Are highly proficient in Python.
Are fluent in one or more major ML libraries such as TensorFlow or PyTorch.
Have substantial experience deploying solutions to production, with hands-on experience in public cloud environments (AWS, GCP, or Azure).
Hold a degree in Computer Science or Mathematics or bring equivalent experience and skills--at Toyota Connected India, we value talent and practical expertise above formal qualifications.
What's in it for you?
Top of the line compensation!
You'll be treated like the professional we know you are and left to manage your own time
Yearly gym membership reimbursement & free catered lunches.
No dress codes! We trust you are responsible enough to choose what's appropriate to wear
Opportunity to build products that improves the safety and convenience of millions of customers.
* Cool office space and other awesome benefits!
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