Senior AI engineer

1 month ago

New Delhi, India wyr.ai Pvt ltd Full time
Job Opening: AI Engineer

Location

: New Delhi Company

: WyrAI Private Limited Type

: Full-Time Experience Level

: Senior/Experienced Job Summary:

We are seeking an

AI Engineer

with a strong background in Artificial Intelligence, Machine Learning, and Computer Vision to join our team. The ideal candidate will have hands-on experience working with advanced algorithms such as

YOLO

,

CNN

,

ANN

,

RNN

, and a deep understanding of

Augmented Reality

(AR). Deep expertise in developing and deploying computer vision models and the ability to manage AI/ML pipelines with robust DevOps and MLOps practices.

AWS Cloud

is essential for managing scalable AI infrastructures. You will play a key role in ensuring the scalable and reliable deployment of computer vision models in production environments. This is an exciting opportunity to work on cutting-edge AI projects in a dynamic environment, where you'll help drive innovation and product development through advanced AI solutions. Key Responsibilities:

Design, develop, and deploy

AI/ML models

(CNN, RNN, ANN) to solve real-world problems. Design, develop and optimize

computer vision

applications using techniques like

YOLO (You Only Look Once)

for object detection and recognition. Image processing with

OpenCV

and

Python Design, develop, and optimize computer vision models for tasks such as object detection, image segmentation, and classification. FastAPI

creation and deployment of machine learning model with FastAPI. Integrate

Augmented Reality

(AR) with AI-driven applications for innovative product development. Implement

DevOps

practices for seamless deployment, monitoring, and scaling of AI/ML models. Manage and maintain scalable, high-performance AI pipelines in

AWS Cloud

. Collaborate with cross-functional teams to understand business requirements and provide AI/ML solutions. Lead and mentor junior engineers on AI and ML best practices. Ensure security, compliance, and cost-effectiveness across cloud-based AI solutions.

Required Skills and Qualifications:

5+ years

of hands-on experience in computer vision, AI, or ML engineering and deployment. Proven experience with computer vision frameworks such as

Python,

OpenCV, TensorFlow, Keras, or PyTorch. Proven expertise in

AI and ML algorithms

:

CNN

,

ANN

,

RNN

, and

YOLO

. Strong background in

computer vision

and image processing techniques. Hands-on experience with

Augmented Reality

(AR) technologies and integration. Knowledge of model versioning tools (e.g., MLflow, DVC) and AI model lifecycle management. Strong proficiency in

DevOps

tools and practices, including CI/CD, automation, Docker, and Kubernetes. Solid experience with

AWS Cloud

: EC2, S3, Lambda, SageMaker, AI Platform etc. Experience with MLOps pipelines, including model training, deployment on

AWS

, and monitoring. Experience in working with large datasets, data pipelines, and AI model optimization. Ability to troubleshoot and optimize AI model performance in production. Familiarity with monitoring tools like Prometheus, Grafana, or similar. Preferred Qualifications:

Experience in

natural language processing

(NLP) or other specialized AI fields. Knowledge of

AI ethics

and

responsible AI

practices. AWS

certifications

(e.g., AWS Certified Machine Learning – Specialty). Why Join Us?:

Opportunity to work on

innovative AI projects

that impact industries. Collaborative and flexible work environment. Competitive salary and benefits package. Career growth

opportunities and professional development. How to Apply:

Send your updated

resume

and a

cover letter

detailing your relevant experience to

. Please include “AI Engineer Application – (Your Name)” in the subject line. Join us and be part of a team that's shaping the future with AI-driven solutions WyrAI Private Limited

is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or veteran status.

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