Machine Learning Engineer

Hi

I hope you are doing well!

Iris's direct client, one of the leading Fortune 500 Company, is looking to hire. Please take a look at the below mentioned job description and let me know if you would be interested..!!

The following job is now available and potentially matches your skills. I'd like to work with you in finding your next dream assignment. Please contact me at your earliest convenience or respond with a time and phone number where I can reach you, we look forward to working with you.

ML engineer

Remote

Required Qualifications

What You’ll Do:

• Design, develop, implement, and maintain AI powered solutions leveraging generative AI in ways that are reliable, maintainable, and scalable.
• Work closely with data scientists, product managers, and other engineers to deliver high-quality solutions.
• Stay up to date with the latest advancements in AI technologies, exploring opportunities to integrate new AI capabilities.
• Contribute to cloud infrastructure optimizing for performance, cost, and security.
• Implement best practices for application security and ensure compliance with relevant data privacy and protection regulations.
• Contribute to CI/CD processes to allow for smoother releases
• Promote engineering best practices within your team to ensure quality, stability, performance, resiliency, and maintainability of your software.

About You:

• 5+ years of experience in product or enterprise software development.
• Strong hands-on full stack experience including Python, React, and Cloud Engineering (AWS/Azure); terraform experience a plus.
• Proven technical abilities in software development, testing, monitoring, performance tuning, and deployment pipelines.
• Strong technical communication and collaboration skills.
• Recent focus on generative AI, with hands-on experience in applying LLM frameworks such as LangChain.
• Practical knowledge of Retrieval-Augmented Generation (RAG) techniques, including implementing and optimizing RAG models to enhance information retrieval and generation capabilities.
• Passion for technology and commitment to staying current on AI advancements.
• Focus on application quality and testing practices like unit, integration and e2e testing, code coverage analysis and automated software inspection.
• Strong sense of customer empathy and a commitment to delighting customers.
• Ability to work across functional and domain boundaries to deliver software on time and with quality.

We have a diverse stack that can vary across teams and projects. Some of the technologies we use include:

• Backend: Python, Go, Node.js
• Frontend: TypeScript, Angular, React, and Playwright
• AI Services: Azure AI Search, Azure OpenAI Service, Azure Foundry, Amazon Bedrock, and SageMaker.
• Frameworks: LangChain, LlamaIndex, LangGraph, and Crew AI.
• Cloud Platforms: Azure, Amazon Web Services (AWS).
• DevOps and Infrastructure: Docker, Terraform, Github, CircleCI, Sonarqube, NewRelic, and Datadog.
• Collaboration Tools: JIRA, Confluence, Zoom, Slack, and Office 365.
• Databases: MySQL, PostgreSQL, Oracle, and DynamoDB.

Thanks & Regards,

Navin Singh

Recruiter – Talent Acquisition Group

Phone: 973-370-7023

Address: 200 Metroplex Drive, Suite 300, Edison, NJ 08817

Mail: [email protected]

www.irissoftware.com