Faridabad, Haryana Senior machine learning engineer Jobs – 87 Open Jobs Today

Senior Computer Vision Engineer
Bidaal Technology Pvt Ltd —Noida, Uttar Pradesh
- From ₹2,00,000 a month
- Full-time
- Research
- AWS
- Machine learning
- Health insurance
- Work from home
Quick apply
IN_Senior Associate_AI Engineer_Data and Analytics_Advisory_Noida
PwC —Noida, Uttar Pradesh
- Full-time
- Azure
- DevOps
- Engineering
ETL Tester - Senior Engineer
Iris Software —Noida, Uttar Pradesh
- Azure
- DevOps
- SQL
- Health insurance
2d
Senior Data Engineer – GenAI & Unstructured Data Pipelines
WebSenor —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Azure
- Master's degree
- Databases
Quick apply
6d
Senior Data Engineer
WebSenor InfoTech —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Computer science
- Azure
- Computer Science
Quick apply
6d
Senior Data Engineer – GenAI & Unstructured Data Pipelines
WebSenor InfoTech —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Azure
- Computer Science
- Master's degree
Quick apply
6d
Solution Architect
Luxoft —Noida, Uttar Pradesh
- English
- Master's degree
- AWS
8d
Data Architect
Luxoft —Noida, Uttar Pradesh
- Azure
- Computer Science
- English
9d
AI/ML Instructor & Program Mentor Intern
Fusionpact Career —Noida, Uttar Pradesh
- Azure
- Computer Science
- Laboratory experience
Quick apply
Azure Senior Data Lead
HCLTech —Noida, Uttar Pradesh
- Azure
- DevOps
- SQL
8h
Senior Developer - .Net Full Stack
WSP —Noida, Uttar Pradesh
- Hybrid work
- Azure
- Computer Science
- SQL
Senior developer – Python Full stack
WSP —Noida, Uttar Pradesh
- Hybrid work
- Azure
- Computer Science
- SQL
Senior Data Architect
Alight —Noida, Uttar Pradesh
- Oracle
- Computer Science
- Data analysis skills
- Health insurance
- Paid sick time
Senior Principal Consultant, Databricks Tech Lead!
Genpact India Pvt. Ltd. —Noida, Uttar Pradesh
- Full-time
- Azure
- Oracle
- Computer Science
Quick apply
Senior Principal Consultant- Databricks
Genpact India Pvt. Ltd. —Noida, Uttar Pradesh
- Full-time
- Azure
- Oracle
- Computer Science
Quick apply
Senior AL/ML Engineer
WebSenor InfoTech —Noida, Uttar Pradesh
- Full-time
- Azure
- Computer Science
- Master's degree
Quick apply
6d
Gen AI - Senior Engineer
Iris Software —Noida, Uttar Pradesh
- Computer Science
- Databases
- Machine learning
- Health insurance
2d
Gen AI - Senior Engineer
Iris Software —Noida, Uttar Pradesh
- Computer Science
- Databases
- Machine learning
- Health insurance
2d
Senior Data Scientist
HCLTech —Noida, Uttar Pradesh
- Computer Science
- Project management
- Bachelor's degree
8h
Mechanical Engineer Fresher
Yupek Solutions —Faridabad, Haryana
- ₹17,000 - ₹22,000 a month
- Full-time
- Bachelor's degree
- Travel
- In-person
Quick apply
3d

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Senior Computer Vision Engineer

Bidaal Technology Pvt Ltd
Noida, Uttar Pradesh

Quick apply

Job details

Permanent | Full-time
From ₹2,00,000 a month

Benefits

Provident Fund
Health insurance
Work from home
Paid sick time

Qualifications

TensorFlow
CI/CD
Image processing
Kubernetes
PyTorch
Computer vision
Software deployment
NumPy
R
Git
Research
AWS
Docker
Machine learning
Continuous integration
Deep learning
OpenCV
AI
Python
Debugging

Full job description

About Bidaal:

Bidaal is an AI–IoT startup founded by IIT Kharagpur graduates, focused on building cutting edge AI-driven solutions for heavy industries such as Mining, Oil & Gas, Steel Plants, Manufacturing Units, Airports, and large industrial infrastructure. Our platform enables workplace safety, productivity enhancement, and regulatory compliance through proprietary, in-house technologies powered by Computer Vision, AI, and IoT. We are addressing real-world industrial challenges at scale, combining deep tech innovation with enterprise-grade deployment. If you are passionate about building production-ready AI systems and want to see your work deployed in high-impact environments, Bidaal is the place for you.

About the Role:

We are looking for a Senior Computer Vision Engineer with 5–6 years of hands-on experience in building, deploying, and scaling advanced computer vision systems. This role is ideal for someone who thrives on ownership, enjoys solving complex real-world vision problems, and is comfortable taking solutions from research to production. You will work closely with product, hardware, and engineering teams while also mentoring junior engineers and driving technical excellence across projects.

Roles & Responsibilities:

Design, develop, and optimize state-of-the-art computer vision and deep learning models for use cases including:

- Object detection, classification, and segmentation

- Multi-object tracking and pose estimation

- OCR and document understanding

- 3D vision (stereo vision, depth estimation, structure-from-motion)

Architect and build scalable, production-ready CV pipelines and workflows for real world industrial deployment.
Lead experimentation, benchmarking, performance evaluation, and model optimization initiatives.
Collaborate closely with product, hardware, and platform teams to translate business and field requirements into robust technical solutions.
Implement and optimize models using ONNX, TensorRT, quantization, pruning, and edge-optimized deployment strategies.
Deploy and integrate CV systems across edge devices (NVIDIA Jetson, embedded systems) and cloud-based GPU environments.
Design and maintain DeepStream and GStreamer pipelines for real-time video analytics.
Stay up to date with the latest research, evaluate emerging architectures, and drive the adoption of innovative techniques where applicable.
Contribute to project planning, technical documentation, architectural decisions, and long-term roadmap discussions.
Provide technical mentorship and guidance to junior engineers, ensuring best practices and code quality.

Who Are You:

Experience: 5–6 years of strong, hands-on experience in Computer Vision, Deep Learning, or Applied Machine Learning, with a proven record of production deployments.
Core Technical Skills:

- Strong proficiency in Python, OpenCV, NumPy

- Expertise in PyTorch and/or TensorFlow

- Solid understanding of classical computer vision algorithms, imaging fundamentals, and feature extraction

Model & Architecture Experience:

- Detection: YOLO, Faster R-CNN, SSD, DETR

- Segmentation: U-Net, Mask R-CNN

- Tracking: SORT, DeepSORT, ByteTrack, and custom multi-object tracking pipelines

- OCR: CRNN, transformer-based OCR, document AI workflows

Deployment & Optimization:

- Hands-on experience with TensorRT, ONNX Runtime, quantization, and pruning

- Experience deploying models on NVIDIA Jetson, ARM-based devices, or enterprise production environments

Software Engineering Excellence:

- Clean, modular, and scalable coding practices

- Strong debugging, profiling, and optimization skills

- Experience with Git and CI/CD workflows

Ownership Mindset:

- Ability to independently own projects, make architectural decisions, and manage timelines effectively

- Comfortable working in fast-paced, high-impact environments

Good to Have:

Experience with AWS, GCP, or hybrid cloud–edge deployments
GPU/CPU performance optimization for real-time inference with limited resources
Understanding of networking fundamentals for distributed inference systems
Experience with multi-camera systems, calibration, and depth estimation
Familiarity with MLOps tools such as MLflow, Docker, Kubernetes

What We Offer:

Salary: As per industry standards (based on experience & role fit)
Working Days: 6 days a week / Onsite in Noida (alternate Saturday WFH)
Culture: Opportunity to work on large-scale, real-world industrial computer vision deployments. Collaborative culture with highly skilled engineers and cross-functional teams. High ownership, autonomy, and freedom to experiment and innovate
Learning Potential: Exposure to advanced AI infrastructure, edge computing, and enterprise-grade systems

Job Types: Full-time, Permanent

Pay: From ₹200,000.00 per month

Benefits:

Health insurance
Paid sick time
Provident Fund
Work from home

Work Location: In person

Quick apply

Refine Your Search

senior machine learning engineer jobs in faridabad, haryana

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