AI/ML Engineer
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AI/ML Engineer
Location
Indore, India
Experience
Mid
Posted
Jul 18, 2026
Apply by
August 17, 2026
Applicants
0
Early applicantEasy applyFull-timeWork from Office
Job Description
## About the Role
We are looking
for an AI/Computer Vision Engineer to build and optimize real-time video
analytics solutions for SafeSwim.AI. The ideal candidate should have experience.
Developing, training, and deploying deep learning models for object detection,
tracking, and video understanding. You will work closely with product, cloud,
and engineering teams to deliver scalable AI solutions for safety-critical
environments.
## Key Responsibilities
· Develop, train, and optimize computer vision
models for real-time object detection and tracking.
· Work with YOLO, RT-DETR, or similar object
detection frameworks.
· Prepare, clean, and annotate datasets for model
training.
· Fine-tune pre-trained models and improve
detection accuracy.
· Evaluate model performance using precision,
recall, mAP, and latency metrics.
· Optimize inference for edge devices and
GPU-based deployments.
· Integrate AI models into production
applications.
· Work with video streams (RTSP, CCTV, IP
Cameras).
· Collaborate with software engineers for
deployment and API integration.
· Troubleshoot model performance and continuously
improve detection accuracy.
· Maintain documentation and experiment tracking.
## Required Skills
Computer Vision
· Object Detection
· Image Classification
· Object Tracking
· Instance Segmentation (preferred)
· Video Analytics
AI& Deep Learning
· PyTorch
· TensorFlow/Keras
· OpenCV
· Ultralytics YOLO
· CNN Fundamentals
Programming
· Python
· NumPy
· Pandas
· Object-Oriented Programming
Data
· Data Annotation
· Dataset Preparation
· Data Augmentation
Deployment
· Docker
· REST APIs
· GPU Optimization
· Linux
### Requirements
## Preferred Experience
· Experience with live video processing.
· Experience deploying AI models on NVIDIA GPUs.
· Familiarity with DeepStream or TensorRT.
· Knowledge of MLOps fundamentals.
· Experience using Git and Agile methodologies.
## Qualifications
· Bachelor's degree in Computer Science, AI,
Electronics, or a related field.
· 2–4 years of hands-on experience in AI/ML or
Computer Vision.
· Strong problem-solving and analytical skills.
## Core Tech Stack
Python •
PyTorch • OpenCV • Ultralytics YOLO • TensorRT • Docker • Linux • Git • REST
APIs • AWS
Key Responsibilities
- Develop, train, and optimize computer vision models for real-time object detection and tracking.
- Work with YOLO, RT-DETR, or similar object detection frameworks.
- Prepare, clean, and annotate datasets for model training.
- Fine-tune pre-trained models and improve detection accuracy.
- Evaluate model performance using precision, recall, mAP, and latency metrics.
- Optimize inference for edge devices and GPU-based deployments.
- Integrate AI models into production applications.
- Work with video streams such as RTSP, CCTV, and IP Cameras.
- Collaborate with software engineers for deployment and API integration.
- Troubleshoot model performance and continuously improve detection accuracy.
- Maintain documentation and experiment tracking.
Requirements
- Bachelor's degree in Computer Science
- AI
- Electronics
- or a related field
Skills Required
Computer VisionObject DetectionImage ClassificationObject TrackingInstance SegmentationVideo AnalyticsPyTorchTensorFlowKerasOpenCVUltralytics YOLOCNNPythonNumPyPandasObject-Oriented ProgrammingData AnnotationDataset PreparationData AugmentationDockerREST APIsGPU OptimizationLinuxAWSProblem solvingAnalytical skillsLive Video ProcessingNVIDIA GPUsDeepStreamTensorRTMLOpsGitAgile
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