Senior Machine Learning Engineer – Responsible AI

Job title:

Senior Machine Learning Engineer – Responsible AI

Company:

Experis

Job description

Our client is the world’s leading provider of enterprise open-source software solutions, utilizing a community-driven approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. With a presence in over 40 countries, our associates have the flexibility to choose a work environment that best suits their needs, ranging from in-office to fully remote options.The Role:
In this role, you will serve as a technical expert in the areas of explainable AI and fairness, focusing on the responsible AI features of the open-source Open Data Hub project. Your primary responsibilities will involve active participation in key open-source communities, including KServe, TrustyAI, Kubeflow, and others.
You will work as an integral member of a dynamic development team, contributing to the rapid design, security, development, testing, and deployment of model-serving capabilities, trustworthy AI solutions, and model registry functionalities.Job Responsibilities:

• Be a leader in Explainable AI, Fairness & Bias related open-source communities to help build an active ML open-source ecosystem for Open Data Hub and OpenShift AI.
• Contribute to developing and integrating model fairness and bias metrics and explainable AI algorithms in OpenShift AI product.
• Act as an Explainable AI SME within Red Hat by supporting customer facing discussions, presenting at technical conferences, and evangelizing OpenShift AI within the internal community of practices.
• Research and design new features for open source MLOps communities such as KServe and Trusty AI.
• Collaborate with our product management and customer engineering teams to identify and expand product functionalities.
• Mentor, influence, and coach a team of distributed engineers.

Requirements:

• Strong research and development experience in Explainable Artificial Intelligence (XAI) with a focus on Large Language Models (LLMs), model-agnostic interpretability methods, bias detection and mitigation, and metrics for assessing fairness, transparency, and interpretability in the complex AI models.
• Recent hands on experience in deploying and maintaining machine learning models in production environments with respect to explainable AI
• Technical leadership acumen
• Passion for writing and maintaining reliable code
• Hands on experience in Kubernetes
• Comfortable working in a distributed remote team environment
• Excellent written and verbal communication skills; good English language skills

Qualification:

• Bachelor’s degree in statistics, mathematics, computer science, or a related quantitative field, or equivalent expertise; master’s or PhD in Machine Learning or NLP is a big plus.
• Experience in engineering, consulting or another field related to model serving and monitoring, model registry, explainable AI, deep neural networks, in a customer environment or supporting a data science team.
• Highly experienced in Kubernetes and/or OpenShift.
• Advanced level knowledge and experience in Python, Java, or Go.
• Familiarity with popular python machine learning libraries such as PyTorch, TensorFlow, Scikit-Learn, and Hugging Face.

If you are interested in this role or would like to discuss it further, please contact Nidhi at +353 1 645 5244 or email .Share this jobNidhi Tripathi E-mailManpowerGroup (NYSE: MAN), the leading global workforce solutions company, helps organisations transform in a fast-changing world or work by sourcing, assessing, developing and managing the talent that enables them to win. We develop innovative solutions for hundreds of thousands of organisations every year, providing them with skilled talent while finding meaningful, sustainable employment for millions of people across a wide range of industries and skills. Our expert family of brands – Manpower, Experis and Talent Solutions – creates substantially more value for candidates and clients across 8 countries and territories and has done so for 70 years.

Expected salary

Location

Waterford

Job date

Fri, 31 Jan 2025 08:29:44 GMT

To help us track our recruitment effort, please indicate in your email/cover letter where (vacanciesin.eu) you saw this job posting.