ADP is hiring a Lead Machine Learning Engineer / AI Scientist
Are you the right candidate for this opportunity Make sure to read the full description below.
In this role, you will work with a team of talented product developers to develop an AI-native event-driven engine. The engine generates user-centric, personalized, in-the-flow intelligence that makes HCM products easy, smart, and human.
To thrive in this team, you’ll need to be passionate about applying state-of-the-art machine learning / AI techniques and algorithms in the HCM domain and creating a delightful experience for workers across the globe.
We work on challenging problems every day, ranging from building an ML pipeline to tuning an existing model with data from a new domain.
You need to be a creative and empathetic individual who is committed to learning new skills and growing continuously.
You will take on the following responsibilities :
- Develop end-to-end production ML / AI solutions, serving as central intelligence embeddable in products across HCM applications.
- Leverage diverse data sources, a variety of modeling techniques, and emerging tools to create high-performing recommendations and personalization.
- Analyze and clean large datasets to design and optimize reusable machine learning models.
- Partner with teams across the company to implement intelligence that drastically improves user experience.
- Collaborate with platform and infrastructure engineers to create scalable, secure, and resilient production systems.
To succeed in this role, you need :
- Advanced degree in Computer Science, Engineering, or other STEM field with a minimum of 2 years of industrial experience.
- Solid understanding of active and continuous learning methodology and machine learning algorithms and techniques, such as regression, classification, clustering, and deep learning.
- Experience with Python / Java, including deep learning frameworks and tools such as PyTorch, TensorFlow, Hugging Face, and Spacy.
- Internships / work experience with machine learning, deep learning, and reinforcement learning.
- Experience with cloud environments (AWS, Azure, GCP) and big data processing frameworks such as Spark.
- Ability to learn by doing, adapt to ever-changing requirements, and have a bias for action and outcome.
- Strong written and verbal communication skills.
What are you waiting for?
Apply today!
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