Sr. AI/ML Engineer

Bangalore

Job Summary

We seek highly dedicated, motivated, and passionate Sr. AI/ML Engineers who can use the right tools to find the best solutions to problems. We embrace the Agile methodology and as part of a scrum team you will play an important role in all aspects of product development--design, development, integration, and testing. And you will share in the pride and satisfaction as your work makes it into production at INVIDI s clients.

As a Sr. AI/ML Engineer to own the computer vision and visual search platform that powers our mobile and cloud applications. Youll work across the full machine learning lifecycle, from data collection and model training to production deployment and performance optimization, building AI systems that operate reliably in real-world conditions. Youll have the opportunity to improve existing models, introduce new approaches, and help define the future AI architecture of our platform. This is a hands-on engineering role where youll collaborate closely with mobile, backend, and product teams to deliver production-grade AI experiences.

Key Responsibilities

Build and Improve Production AI Models

- Design, train, fine-tune, and deploy state-of-the-art computer vision models for object detection, image understanding, and visual search.
- Improve model robustness across challenging real-world scenarios including varying lighting conditions, perspective changes, motion blur, occlusion, compression artifacts, and partial captures.
- Continuously evaluate and iterate on models using production feedback and newly collected data.

Optimize AI for Mobile and Cloud

- Optimize inference performance for both edge and cloud deployments, balancing accuracy, latency, memory usage, and operational cost.
- Improve mobile ML performance across iOS and Android while accounting for device constraints such as thermal throttling, battery usage, and hardware acceleration.
- Build scalable cloud inference services capable of supporting high-volume production workloads.





Build a World-Class ML Platform

- Design reproducible training pipelines, model versioning strategies, and automated evaluation workflows.
- Establish quality gates and validation processes to ensure models meet production standards before deployment.
- Improve CI/CD pipelines, artifact management, and promotion workflows across development, staging, and production environments.

Own Data Quality and Evaluation

- Develop data collection strategies that improve model performance and generalization.
- Create synthetic and augmented datasets to increase robustness across diverse operating conditions.
- Build automated benchmarking and evaluation pipelines with measurable performance metrics and regression testing.

Improve Visual Search and Retrieval

- Design and optimize image embedding and similarity search pipelines.
- Improve semantic matching, reranking, and retrieval quality for image-based search experiences.
- Evaluate new architectures and techniques that enhance accuracy and user experience.

Collaborate Across Engineering Teams

- Work closely with mobile and backend engineers to integrate AI models into production applications.
- Debug end-to-end ML systems, from training pipelines and inference services to client-side image preprocessing and post-processing.
- Contribute to technical architecture decisions and establish best practices for scalable AI development.

Drive Innovation

- Evaluate emerging AI technologies and identify opportunities to improve existing capabilities.
- Prototype new features in computer vision, multimodal AI, recommendation systems, and conversational AI.




- Help shape the long-term AI strategy and technical roadmap.

Skills & Qualifications

- 5+ years of experience building and deploying production machine learning systems.
- Strong expertise in computer vision, including object detection, image understanding, and visual embeddings.
- Experience training, fine-tuning, evaluating, and deploying deep learning models using real-world datasets.
- Hands-on experience with contemporary deep learning frameworks such as PyTorch or TensorFlow.
- Experience optimizing models for both cloud and edge/mobile deployment.
- Strong understanding of vector search, similarity retrieval, and embedding-based systems.
- Experience building scalable ML pipelines, model evaluation frameworks, and production inference services.
- Excellent Python development skills and the ability to work across multiple parts of the technology stack.
- Strong experience with AWS cloud services, including designing and deploying ML solutions using SageMaker, Lambda, S3 and related services.

It would be very good if you have experience in:

- Experience with MLOps, model registries, automated training pipelines, and CI/CD for machine learning.
- Experience deploying AI applications on AWS or similar cloud platforms.
- Familiarity with mobile machine learning frameworks and optimization techniques.
- Background in content recognition, recommendation systems, visual search, AdTech, media, or consumer applications.
- Experience with Infrastructure as Code (Terraform or similar).

Physical requirements

- INVIDI is a conscious, clean, well-organized, and supportive office.

- Prolonged periods of sitting at a desk and working on a computer are normal.

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Sr. AI/ML Engineer (Chennai)
🏢 Invidi Technologies
📍 Chennai