Senior Computer Vision Engineer

Vantageiq Technologies; Pune District; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Vantageiq Technologies is seeking a Senior Computer Vision Engineer in Pune to lead design, development, deployment, and monitoring of production-grade AI/ML and CV solutions.

You will provide technical leadership to AI/ML engineers, build real-time and batch inference pipelines, and collaborate with cross-functional teams to scale solutions across CPU, GPU, Cloud, and Edge environments.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, AI, ML, Data Science, Electronics or related field.
• Relevant Azure, AWS, AI/ML or Computer Vision certifications are advantageous.
• 810 years total experience in AI/ML and Software Engineering.
• 5+ years of focused experience in Computer Vision and Deep Learning.

Responsibilities

• Design scalable AI/ML and Computer Vision architectures.
• Own the ML lifecycle from data prep to deployment and monitoring.
• Build image/video processing solutions with Object Detection, Classification, Segmentation, Tracking, OCR and Action Recognition.
• Design real-time and batch inference pipelines and Edge-to-Cloud architectures.
• Establish MLOps, CI/CD, Model Registry, versioning, rollback and monitoring practices.
• Mentor AI/ML engineers and provide technical leadership.

Skills

Machine Learning

Deep Learning

Computer Vision

Model Fine-Tuning

Evaluation & Metrics

MLOps & Deployment

Responsible AI

Edge & Real-Time Inference

Anomaly Detection

Education

Bachelors/Master’s in CS/AI/EE

Tools

Python

PyTorch

TensorFlow

OpenCV

YOLO/TRT/ONNX

MLOps tools (Docker/Kubernetes)

Azure/AWS

Job description

Senior Computer Vision Engineer

*************LOCATION*************

Pune

*************WORK MODE*************

Work from Office 5 Days a Week | Koregaon Park, Pune

*************ROLE OVERVIEW*************

We are looking for a Senior AI/ML Engineer with 810 years of experience, including 5+ years in

Computer Vision and Deep Learning. The candidate will lead the design, development, deployment

and monitoring of production-grade AI/ML and Computer Vision solutions and provide technical

leadership to AI/ML engineers.

*************KEY RESPONSIBILITIES*************

• Design scalable AI/ML and Computer Vision architectures.
• Own the ML lifecycle covering data preparation, annotation, model selection, training, fine-tuning,
• evaluation, optimization, deployment and monitoring.
• Build Image/Video Processing solutions using Object Detection, Classification, Segmentation,
• Tracking, OCR and Action Recognition.
• Design real-time and batch inference pipelines and Edge-to-Cloud AI architectures.
• Optimize models for CPU, GPU, Cloud and Edge environments.
• Establish MLOps, CI/CD, Model Registry, versioning, rollback, retraining and monitoring practices.
• Conduct architecture/code reviews and troubleshoot complex production issues.
• Evaluate pretrained models, managed AI/ML services and third-party platforms.
• Collaborate with Backend, Cloud, Data, Security, DevOps and Product teams.
• Mentor AI/ML engineers and provide technical leadership.

*************MANDATORY AI/ML SKILLS*************

• Machine Learning, Deep Learning, Supervised/Unsupervised Learning and Transfer Learning
• Model Fine-Tuning, Hyperparameter Optimization, Feature Engineering and Data Augmentation
• Model Evaluation, Error Analysis, Precision, Recall, F1, ROC-AUC and Confusion Matrix
• Confidence Calibration, Threshold Optimization, Model Explainability and Responsible AI
• Bias, Drift and Performance Monitoring

*************COMPUTER VISION*************

• Image Classification, Object Detection, Semantic/Instance Segmentation
• Multi-Object Tracking, OCR, Pose Estimation and Action Recognition
• Anomaly Detection, Facial Detection, Embeddings and Similarity Matching
• Image Preprocessing, Video Processing, Temporal Analysis and Multi-Camera Video Analytics
• Real-Time Inference Optimization

*************FRAMEWORKS & LIBRARIES*************

• Python, PyTorch and/or TensorFlow, OpenCV
• NumPy, Pandas, scikit-learn
• YOLO, RT-DETR, Faster R-CNN, Mask R-CNN or equivalent
• ByteTrack, DeepSORT, MediaPipe or equivalent
• PaddleOCR, EasyOCR, Tesseract or custom OCR models
• Hugging Face, ONNX/ONNX Runtime
• TensorRT and/or OpenVINO
• FAISS, pgvector or equivalent vector-search technologies

*************VIDEO & EDGE AI*************

• RTSP, ONVIF, FFmpeg and/or GStreamer
• Video decoding, sampling, preprocessing, codecs, FPS and bitrate
• Real-time inference pipelines, buffering, reconnection and fault handling
• NVIDIA GPU, Edge AI, Model Quantization, Pruning and Acceleration
• NVIDIA Jetson or equivalent edge hardware is desirable

*************Cloud*************

• Azure and AWS Cloud experience is required for successful effective leadership for this role

*************MLOPS & DEVOPS*************

• Docker, Kubernetes
• Azure DevOps and/or GitHub Actions
• MLflow or equivalent
• Model/Dataset Versioning and Model Registry
• Terraform, Bicep or CloudFormation
• Automated Model Validation, Regression Testing
• Monitoring, Observability, Alerting, Rollback and Disaster Recovery

*************SECURITY & RESPONSIBLE AI*************

• Secure handling of sensitive image/video data
• Encryption, RBAC, Private Networking and Secrets Management
• Data Minimization, Retention/Deletion and Privacy-by-Design
• Human-in-the-Loop, Bias/Fairness Evaluation
• Secure Logging and Auditability

*************EDUCATION*************

Bachelors/Masters degree in Computer Science, AI, ML, Data Science, Electronics or related

discipline. Relevant Azure, AWS, AI/ML or Computer Vision certifications are advantageous.

*************EXPERIENCE*************

• 810 years overall experience in AI/ML and Software Engineering.
• 5+ years of focused experience in Computer Vision and Deep Learning.
• Experience taking AI/ML solutions from experimentation/research through production

deployment, with technical leadership and mentoring experience.