Senior - AI Engineer

Mahindra Mahindra Limited.

7 - 12 years

9 - 14 Lacs

mumbai

Posted:-1 days ago| Platform:

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Skills Required

computer science performance tuning backend version control git nosql gcp agile development sql python

Work Mode

Work from Office

Job Type

Full Time

Job Description

About the Team:

Mahindra AI Division is the AI innovation arm within Mahindra Group. The division experiments with state-of-the-art AI technologies and is focused on developing and delivering cutting-edge AI products to the group. With the division s team-expansion plan, there is an excellent opportunity for your career growth in the team.

Responsibilities:

Design, develop, and maintain
backend services and APIs
to support AI/ML applications at scale.
Productionize ML and deep learning models, ensuring efficiency, reliability, and low-latency inference.
Build scalable
microservices and REST/gRPC APIs
for deploying AI solutions in enterprise environments.
Optimize AI model serving using frameworks such as
TensorRT, ONNX Runtime, Triton Inference Server, or FastAPI
.
Implement MLOps practices including model versioning, monitoring, and automated deployments.
Collaborate with AI researchers, data scientists, and product managers to translate prototypes into production-ready systems.
Ensure robustness, fault tolerance, and security in backend AI systems.
Integrate AI services with enterprise data platforms, cloud systems, and third-party APIs.
Contribute to architecture discussions, design reviews, and performance tuning.
Mentor junior engineers and contribute to best practices in AI software engineering.

Educational Experience requirements

Bachelor s degree with at least 7 years of experience or Master s with at least 4 years of experience in Computer Science, Software Engineering, Data Science, or related fields.
Preferred to have degree from a Tier-1/2 institute (IIT/IISc/NITs if studied in India) or a globally top-ranked university (as per QS).

Technical Requirements

Strong proficiency in
Python
and backend frameworks (FastAPI).
Expertise in Prompt engineering and working with various LLMs
.
Experience in
productionizing AI/ML models
with efficient inference pipelines.
Hands-on experience with
model deployment frameworks
(Triton, TensorRT, TorchServe, ONNX Runtime).
Knowledge of
cloud platforms
(Azure, GCP) and container technologies (
Docker
).
Strong experience with
microservices architecture, CI/CD pipelines, and monitoring tools
(Prometheus, Grafana).
Familiarity with
databases
(SQL/NoSQL) and scalable data storage solutions.
Exposure to
LLMs, SLMs, and GenAI model integration
into backend systems is a strong plus.
Understanding of security, authentication, and performance optimization in large-scale systems.
Experience with version control (Git) and Agile development practices.

Behavioral Requirements

Excellent problem-solving skills and attention to detail.
Strong written and verbal communication skills in English.
Ability to work collaboratively in cross-functional teams.
Passion for building reliable backend systems that bring AI models into real-world impact.

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