Maharashtra Senior ai engineer (computer vision, distributed systems & edge ai) Jobs – 8 Open Jobs Today

Senior AI Engineer (Computer Vision, Distributed Systems & Edge AI)
catiline systems —Kandivali, Mumbai, Maharashtra
- ₹12,00,000 - ₹15,00,000 a year
- Full-time
- Azure
- Computer Science
- Master's degree
- Flexible schedule
- Paid sick time
Quick apply
11d
Senior Software Engineer (Golang) - AI Product- Vice Presidents
Citi —Pune, Maharashtra
- Full-time
- Computer Science
- Master's degree
- Bachelor's degree
14d
Senior Software Engineer (Golang) - AI Products- Vice President
Citi —Pune, Maharashtra
- Full-time
- Computer Science
- Master's degree
- Bachelor's degree
14d
Sr. GenAI Engineer
Apptware —Pune, Maharashtra
- Azure
- Master's degree
- Databases
Engineering Manager – .NET Software Development
Tgw Group —Pune, Maharashtra
- Azure
- Computer Science
- DevOps
Quick apply
Sr Software Engineer (Scala /Java and Python)
HERE Technologies —Mumbai, Maharashtra
- Full-time
- Computer Science
- System design
- Java
10d
Principal Software Engineer
Diebold Nixdorf —Mumbai, Maharashtra
- Full-time
- Azure
- Engineering
- Master's degree
Senior Site Reliability Engineer, Observability
Priceline.com —Mumbai, Maharashtra
- Full-time
- Hybrid work
- Computer Science
- Software troubleshooting
- DevOps
- Health insurance
- Paid time off

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Senior Software Engineer (Golang) - AI Product- Vice Presidents
Citi —Pune, Maharashtra
Strategic Direction: Create "firsts" in the Generative AI space for Citi, acting as a core member of the team that defines the strategic technical direction for…
14d
Senior Software Engineer (Golang) - AI Products- Vice President
Citi —Pune, Maharashtra
Strategic Direction: Create "firsts" in the Generative AI space for Citi, acting as a core member of the team that defines the strategic technical direction for…
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Senior AI Engineer (Computer Vision, Distributed Systems & Edge AI)

catiline systems
Kandivali, Mumbai, Maharashtra

Quick apply

Job details

Full-time
₹12,00,000 - ₹15,00,000 a year
11 days ago

Benefits

Provident Fund
Flexible schedule
Paid sick time

Qualifications

TensorFlow
CI/CD
Image processing
Cloud infrastructure
Azure
Go
Law
Computer Science
Kubernetes
Computer vision
Load balancing
Encryption
Git
Google Cloud Platform
MongoDB
Master's degree
Bash (Unix shell)
SQL
RBAC
AWS
C++
Docker
C
Bachelor's degree
Machine learning
PostgreSQL
Distributed systems
Terraform
Continuous integration
Redis
SDKs
RabbitMQ
REST
Ubuntu
OpenCV
GitHub
APIs
S3
Linux
Kafka
Data science
GraphQL
AI
gRPC
Jenkins
TypeScript
Python
Shell Scripting

Full job description

About Us

We are building an Intelligence Platform that combines Computer Vision, Agentic AI, Edge Computing, and Cloud Infrastructure to automate workforce monitoring, safety compliance, and operational intelligence for industrial enterprises. The platform processes hundreds of live CCTV streams, performs real-time analytics, and delivers actionable insights at enterprise scale.

We are looking for an exceptional engineer who can architect and build production-grade AI systems from the ground up.

Role Overview

As a Senior AI Engineer, you will design and build large-scale AI systems involving:

Multi-camera Computer Vision
Real-time Video Analytics
Agentic AI Systems
Edge AI Deployments
Distributed Systems
High-performance GPU Inference
Cloud-native Infrastructure

This role is ideal for engineers who enjoy solving complex scaling problems and building cutting-edge AI products.

Key ResponsibilitiesComputer Vision & AI

Design and develop real-time computer vision pipelines.
Build object detection, tracking, and activity recognition systems.
Develop person re-identification and face recognition pipelines.
Deploy AI models optimized for GPU inference.
Develop anomaly detection and predictive intelligence systems.
Build multi-camera analytics and worker tracking systems.
Implement temporal reasoning and event correlation engines.

Backend Engineering

Design scalable microservices.
Develop high-throughput APIs and streaming services.
Build event-driven architectures.
Design fault-tolerant distributed systems.

Infrastructure & MLOps

Deploy AI systems using Kubernetes and Docker.
Design GPU infrastructure for large-scale inference.
Implement CI/CD pipelines.
Build monitoring and observability systems.
Optimize inference performance and latency.

Cloud & Edge Computing

Build edge-first AI systems.
Deploy AI workloads on on-premise GPU clusters.
Design secure cloud synchronization systems.
Build scalable multi-site enterprise platforms.

Required Technical SkillsProgramming Languages

Python (Expert)
Golang (Expert)
TypeScript
C++
Bash/Shell Scripting
SQL

AI & Machine Learning

PyTorch
TensorFlow
TensorRT
ONNX
ONNX Runtime
NVIDIA Triton Inference Server
CUDA Programming
Deep Learning
Machine Learning
Model Optimization
Quantization
Distributed Training
Transfer Learning

Computer Vision

OpenCV
YOLOv8 / YOLOv11
RTSP Stream Processing
Video Analytics
Multi-Camera Tracking
Object Detection
Object Tracking
Face Recognition
Person Re-identification (ReID)
Activity Recognition
Human Pose Estimation
OCR
Image Segmentation
Video Processing
Edge AI Inference

Computer Vision Frameworks & Models

InsightFace
ArcFace
FastReID
OSNet
ByteTrack
DeepSORT
VideoMAE
SlowFast
NVIDIA DeepStream SDK
FFmpeg
GStreamer

Backend & Distributed Systems

Microservices Architecture
Event-Driven Architecture
Apache Kafka
Redis
PostgreSQL
MongoDB
RabbitMQ
gRPC
REST APIs
GraphQL
WebSockets
MQTT
Async Programming
High Concurrency Systems
Message Queues

Cloud & Infrastructure

Docker
Kubernetes
Helm
Terraform
Linux
Ubuntu
GPU Clusters
AWS
Azure
Google Cloud Platform
Edge Computing
Distributed Storage
Networking
Load Balancing

MLOps & DevOps

MLflow
DVC
Git
GitHub Actions
Jenkins
CI/CD Pipelines
Model Deployment
Model Monitoring
Containerization
Infrastructure as Code

Databases & Storage

PostgreSQL
Redis
MinIO
Amazon S3
Time-Series Databases
Data Lakes

Monitoring & Observability

Prometheus
Grafana
Jaeger
ELK Stack
OpenTelemetry
Logging & Tracing

Security

TLS
RBAC
Authentication & Authorization
API Security
Data Encryption
GDPR Compliance
PII Masking
Secure Infrastructure Design

Additional Skills (Highly Preferred)

Agentic AI Systems
LLM Integration
LangChain
AI Agents
RAG Systems
Multi-Agent Systems
Generative AI
Industrial IoT
Predictive Analytics
Reinforcement Learning
Real-Time Analytics
Autonomous Systems
Time-Series Analysis

Qualifications

Bachelor's or Master's degree in:
Computer Science
Artificial Intelligence
Electronics Engineering
Data Science
Related Field

Preferred Experience

5+ years in Software Engineering.
4+ years in AI/ML Engineering.
3+ years in Computer Vision.
Experience handling:
1000+ camera streams
GPU inference systems
Distributed architectures
Enterprise SaaS platforms
Production AI deployments.

What You'll Build

AI-powered workforce intelligence platform.
Real-time safety monitoring systems.
Multi-camera worker tracking.
Activity recognition engine.
Enterprise analytics platform.
Edge AI infrastructure.
Agentic reasoning engine.

Pay: ₹1,200,000.00 - ₹1,500,000.00 per year

Benefits:

Flexible schedule
Paid sick time
Provident Fund

Work Location: In person

Quick apply

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senior ai engineer (computer vision, distributed systems & edge ai) jobs in maharashtra

Senior AI Engineer (Computer Vision, Distributed Systems & Edge AI)

Senior Software Engineer (Golang) - AI Product- Vice Presidents

Senior Software Engineer (Golang) - AI Products- Vice President

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Engineering Manager – .NET Software Development

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Principal Software Engineer

Senior Site Reliability Engineer, Observability

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