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Senior AI/ML

About HireRight

HireRight is the premier global background screening and workforce solutions provider. We bring clarity and confidence to vetting and hiring decisions through integrated, tailored solutions, driving a higher standard of accuracy in everything we do. Combining in-house talent, personalized services, and proprietary technology, we ensure the best candidate experience possible. PBSA accredited and based in Nashville, TN, we offer expertise from our regional centers across 200 countries and territories in The Americas, Europe, Asia, and the Middle East. Our commitment to get it right every time, everywhere, makes us the trusted partner of businesses and organizations worldwide.

Overview

  • Develop AI technologies that integrate with our human processes
  • Use transfer learning to tune models to our use cases
  • Meet regularly with our legal team and data governance personnel to ensure that our AI/ML models adhere to the highest standards of fairness and privacy
  • Manage data ingestion processes, oversee labeling efforts, and monitor data quality to support your own machine learning models
  • Proactively identify model failure cases and identify new approaches for improving our machine learning models
  • Continued education about the latest machine learning algorithms, techniques, and technologies. Data science team members are strongly encouraged to take courses, obtain professional certifications, and attend industry conferences
  • Stand up MVPs for web-based internal tools and external customer-facing features
  • Develop APIs and/or additional endpoints as necessary to power your frontend features

Responsibilities

• You have 4+ years of experience as a machine learning engineer or scientist, deploying models in production at

scale• All applicants must have professional experience building and deploying AI/ML based software to a cloud environment• The successful candidate will have basic academic training (self-taught or otherwise) of the theory underlying neural architectures• Proficiency in Python and python-based AI/ML frameworks, installing packages from PyPI, and debugging common problems using online resources• Ability to create large software projects that are organized, well-structured, thoughtfully documented, and automatically tested• Experience deploying machine learning models to production, including monitoring, alerting, automatic bug filing and auditing• Experience deploying docker swarms• Experience debugging and modifying forked libraries• Working knowledge of deploying ML pipelines in GCP• Familiarity latest models coming out of academia and domain leaders• Some familiarity with web frameworks such as Flask, or FastAPI• Applicants should have strong core coding skills, passion for software quality, improving the design/development process, and building highly available systems• Experience with Object Oriented design (OOP)• Experience with a Relational Database Management System (Postgres, SQL, Oracle, etc)• Modern development patterns and platforms (Microservices, Web Services (REST)

 

What do we offer

Please submit resume/CV in English.

 

All resumes are held in confidence. Only candidates whose profiles closely match requirements will be contacted during this search.HireRight does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of HireRight and HireRight will not be obligated to pay a placement fee.

Average salary estimate

$100000 / YEARLY (est.)
min
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$80000K
$120000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Senior AI/ML, HireRight

At HireRight, we're looking for an enthusiastic Senior AI/ML engineer to join our innovative team in Bengaluru, Karnataka. In this role, you will have the exciting opportunity to develop cutting-edge AI technologies that seamlessly integrate with our human processes. You'll leverage transfer learning to fine-tune models tailored to our unique use cases. As a key player, you will collaborate closely with our legal team and data governance experts to ensure that our AI/ML models uphold the highest standards of fairness and privacy. Your responsibilities include managing data ingestion processes and overseeing labeling efforts to maintain quality for our machine learning models. Moreover, you'll take the lead on identifying model failure cases and exploring new strategies to enhance our models. At HireRight, we believe in continuous education, so you'll have plenty of opportunities to sharpen your skills through professional certifications and industry conferences. If you have a deep passion for AI and ML, a strong coding background, and the desire to create impactful software solutions, then we want to hear from you!

Frequently Asked Questions (FAQs) for Senior AI/ML Role at HireRight
What are the responsibilities of a Senior AI/ML Engineer at HireRight?

As a Senior AI/ML Engineer at HireRight, your responsibilities will include developing AI technologies that work hand-in-hand with human processes, utilizing transfer learning for model tuning, and ensuring compliance with fairness and privacy standards alongside our legal and data governance teams.

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What qualifications do I need to become a Senior AI/ML Engineer at HireRight?

To qualify for the Senior AI/ML Engineer position at HireRight, you need at least 4 years of experience in machine learning engineering or science, professional experience deploying AI/ML models in a cloud environment, and proficiency in Python and relevant frameworks.

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How does HireRight support professional development for the Senior AI/ML Engineer role?

HireRight encourages continuous learning for Senior AI/ML Engineers by offering access to courses, professional certifications, and opportunities to attend industry conferences to keep up-to-date with the latest algorithms and technologies.

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What programming languages and frameworks are used by the Senior AI/ML Engineer at HireRight?

The Senior AI/ML Engineer at HireRight primarily works with Python and its AI/ML frameworks, alongside experience with web frameworks like Flask or FastAPI, as well as deploying machine learning pipelines in GCP.

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What does the hiring process look like for a Senior AI/ML Engineer at HireRight?

The hiring process for the Senior AI/ML Engineer position at HireRight includes submitting your resume in English, followed by interviews that assess your technical skills, problem-solving abilities, and cultural fit within the team.

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Common Interview Questions for Senior AI/ML
Can you describe your experience with deploying machine learning models in production?

In response, provide specific examples of projects where you have successfully deployed machine learning models, detailing the challenges faced and how you overcame them, including monitoring and maintaining those models post-deployment.

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How do you ensure that your AI models adhere to fairness and privacy standards?

Discuss the processes you follow for data governance and compliance, such as working with legal teams or implementing best practices in model training and evaluation to ensure fairness and privacy.

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What AI/ML frameworks are you most familiar with?

Mention frameworks like TensorFlow, PyTorch, or Scikit-learn and describe your experience with each, highlighting any significant projects and the outcomes achieved using these tools.

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How do you approach model tuning and optimization?

Explain your techniques in model tuning, including hyperparameter optimization, feature selection, and leveraging transfer learning, sharing specific tools or methods used in your previous projects.

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Can you explain the concept of transfer learning and its benefits?

Provide a clear definition of transfer learning, along with its advantages like reduced training time and improved model performance when applied to relevant tasks, supported with examples from your experience.

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What strategies do you employ for debugging machine learning models?

Discuss your systematic approach to troubleshooting models, including methods like performance analysis, error tracking, and utilizing logs, along with examples of challenges you faced and how you resolved them.

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How do you ensure high-quality data for your machine learning models?

Explain your data management practices, including data cleaning, validation processes, and methods for labeling data to enhance the overall quality and reliability of your training datasets.

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What modern development patterns do you implement in your projects?

Describe your experience with modern software development patterns, especially microservices and RESTful APIs, emphasizing how they contribute to scalability and maintainability in AI/ML projects.

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What role do you believe continued education plays in AI/ML fields?

Express your view on the importance of staying current with advancements in AI/ML through continuous education, and share how you actively pursue learning opportunities to enhance your knowledge and skills.

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What tools do you use for monitoring and maintaining deployed ML models?

Discuss your experience with monitoring tools and techniques that help in tracking model performance, ensuring data quality, maintaining logs, and setting up alerts for any anomalies or drifts.

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EMPLOYMENT TYPE
Full-time, on-site
DATE POSTED
April 23, 2025

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