AI/ML Software Engineer III Job at netPolarity, Inc. (Saicon Consultants, Inc.), Sunnyvale, CA

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  • netPolarity, Inc. (Saicon Consultants, Inc.)
  • Sunnyvale, CA

Job Description

Duration: 4 Month contract (W2) with strong potential for extension

Location: Sunnyvale, CA.

No C2C/CORP TO CORP/1099

Summary:

We’re looking for a ML Infrastructure Software Engineer with a strong background in web application development and back end systems, passionate about building reliable applications and intuitive tools that accelerate user productivity & UX.

Description:

As a Software Engineer on the ML Lifecycle team, you’ll work on the systems that power the full ML lifecycle—from data ingestion and labeling to model training, deployment, and monitoring . You'll design and build user-facing tools for ML practitioners as well as robust backend services that enable scalable ML operations. You’re passionate about writing clean, maintainable code and enjoy collaborating with cross-functional teams, including ML engineers and platform engineers. You are comfortable with best practices in software engineering including agile development, code reviews, CI/CD pipelines, and automated testing.

Minimum Qualifications:

5-7 years of experience in the ML/ AI domain

• Proficiency in backend development using Python and FastAPI for building RESTful services.

Experience with data and object stores (e.g., PostgreSQL, Redis, S3) in production systems.

• Strong experience building web applications (Front End) with React, Typescript/JavaScript, HTML, and CSS.

• Ability to translate ML team requirements into scalable tools and interfaces.

• Familiarity with ML workflows and developer ergonomics for ML practitioners.

Top 3 skills:

Back end – Python, REST API, FastAPI - required

Coding – refactoring code – Python

Ecosystem with deploying a production app scale services – AWS tools, familiarity with production-based systems

Front end - React/TypeScript/JavaScript – minimal – not more than 20%

Bonus – infrastructure

Deploy applications

Look at existing code and make it more efficient (mostly Python)

Python, Java would be good

Object stores, hands on experience with production preferred

Industry:

AI/ML exposure would be great

Preferred Qualifications:

• Experience with event-driven architectures and messaging systems (e.g., Kafka).

• Exposure to container orchestration and cloud-native deployment (Kubernetes, Docker, Helm).

• Experience deploying infrastructure on AWS, especially with infrastructure-as-code tools like Pulumi.

• Experience setting up documentation portals (e.g., Docusaurus) for internal developer tools.

• Familiarity with observability best practices (metrics, logging, alerting) for ML systems.

Job Tags

Contract work,

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