AI Engineer

Siri InfoSolutions Inc; Redmond (WA); On-site; USD 140,000 - 190,000; Full time

Job summary

Siri InfoSolutions Inc is seeking an experienced AI Engineer in Redmond, WA to design, develop, and deploy AI-driven solutions that enhance business processes and deliver innovative products. You will engage in model development, data processing, and production deployment, collaborating with data scientists and software engineers to deliver AI-powered features using Azure, AWS, and GCP.

Strong ML/NLP/CV expertise and cloud/container skills are required.

Qualifications

• Bachelor’s or Master’s in CS, AI, DS or related field.
• Proficiency in Python and AI frameworks; strong ML/NLP/CV knowledge.
• Experience with Azure, AWS, GCP and container tech (Docker, Kubernetes).

Responsibilities

• Design, train, and optimize machine learning and deep learning models for various applications.
• Collect, clean, and preprocess large datasets for training and inference.
• Implement and deploy AI models into production environments using scalable architectures.
• Stay updated with the latest AI trends and integrate cutting-edge techniques into solutions.
• Work closely with data scientists, software engineers, and product teams to deliver AI-powered features.
• Continuously monitor and improve model accuracy, efficiency, and reliability.

Skills

Python

Agentic AI

MCP

OpenAI

NLP

computer vision

machine learning algorithms

data engineering

API design

debugging

Education

Bachelor’s or Master’s in CS/AI/DS

Tools

Docker

Kubernetes

Azure

AWS

GCP

CI/CD pipelines

Job description

Position: AI Engineer

Location: Redmond, WA

Term: Full Time

We are seeking an experienced AI Engineer to design, develop, and deploy AI-driven solutions that enhance business processes and deliver innovative products. The ideal candidate will have strong expertise in machine learning, deep learning, and data engineering, along with proficiency in programming and cloud platforms.

Key Responsibilities

Model Development:

Design, train, and optimize machine learning and deep learning models for various applications.

Data Processing:

Collect, clean, and preprocess large datasets for training and inference.

Deployment:

Implement and deploy AI models into production environments using scalable architectures.

Research

Innovation:

Stay updated with the latest AI trends and integrate cutting-edge techniques into solutions.

Collaboration:

Work closely with data scientists, software engineers, and product teams to deliver AI-powered features.

Performance Monitoring:

Continuously monitor and improve model accuracy, efficiency, and reliability.

Develop :

Microsoft related AI Tools

Required Skills

Qualifications

Education:

Bachelor’s or master’s in computer science, AI, Data Science, or related field.

Technical Skills:

Proficiency in Python, Agentic AI(autogen),MCP, OpenAI

Strong understanding of machine learning algorithms, NLP, and computer vision.

Experience with cloud platforms (Azure, AWS, GCP) and containerization (Docker, Kubernetes).

Knowledge of data engineering tools and frameworks.

Experience in code debugging, API Design knowledge

Soft Skills:

Problem-solving, analytical thinking, and excellent communication.

Preferred Qualifications

Experience with

LLMs (Large Language Models),Agentic AI

and generative AI.

Familiarity with

MLOps

practices and CI/CD pipelines.

Hands-on experience with

API development

and integration.

Hands-on experience in

Microsoft related AI Tools