AI Engineer
Mahindra Group · Posted Oct 28
Automotive, farm equipment, information technology, financial services, and hospitality services
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About the role
Mahindra Group is hiring an AI Engineer in Bangalore to build and productionize AI/ML systems. The role focuses on backend services, scalable APIs, model serving, and MLOps in enterprise environments. The engineer will work with AI researchers, data scientists, and product managers to deploy AI solutions using frameworks such as FastAPI, Triton, TensorRT, and cloud platforms Azure/GCP.
What you will do
- 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.
Skills used in this role
What the employer is looking for
- 2-5 Years of work experience in AI Engineering Industry
- Preferred Experience in working with Applied AI companies
- Bachelor’s degree / Master’s degree with experience in Computer Science, Software Engineering, Data Science, or related fields.
- Preferred to have degree from a Tier-1/2 institute or a globally top-ranked university (as per QS).
- 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
Benefits and support
- Compensation and benefits are detailed in the job posting
About Mahindra Group
The Mahindra Group is a multinational conglomerate federation of companies with a presence across more than 20 industries globally. The group holds leadership positions in utility vehicles, farm equipment, information technology, and financial services. Driven by its core purpose to enable people to Rise, Mahindra operates across over 100 countries.
- Industry
- Conglomerate
- Company size
- 327000+ employees
- Founded
- 1945-10-02
- Location
- Mumbai, Maharashtra, India
- Funding stage
- Public Company
Leadership
Chairman
Group CEO & Managing Director
Group Chief Financial Officer
Group Chief Technology Officer
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