(EMEA) Senior Machine Learning Engineer

About us: Accuris, a company long-known for accelerating innovation in engineering workflows and supporting the vibrancy of the engineering community, launched in May 2023 as a standalone company. Accuris was formerly known as S&P Global’s Engineering Solutions division. The Company is valued for its standards content and workflow solutions like Engineering Workbench, Goldfire, Haystack and Parts Management Solutions.

Under its previous owners, including S&P Global, IHS and IHS Markit, Accuris has been an integral part of the engineering ecosystem for more than 60 years.

In the Accuris we think differently, combining the knowledge and resources of an established company with the unapologetic boldness of a startup. We build software solutions fueled by trusted data that connect to engineering workflows in revolutionary ways, illuminating answers that previously were impossible to find and empowering our clients to envision the future, so they can identify the best course of action in the present. We’re disrupting the current digital transformation landscape with state-of-the-art AI developed by a passionate team with a bias to action. Are you ready to join us in building the software that will power the most impactful companies in the world?

Our AI team is looking for new talents for the role of Senior ML/AI Engineer critical for success of projects related to Natural Language Processing, Data Capturing, Content Understanding and Information Retrieval domains.

You will be responsible for design and engineering aspects of innovative projects related to search, automatic structuring and understanding of unstructured content. Your role is needed to ensure efficient architectures and low-level design of deep learning-based and LLM-based solutions for high-quality deliverables into Accuris products with focus on innovation, scientific research, experimentation, and optimal design.

Your duties will include:

• Building and optimization of LLM-based solutions.
• Building and optimization of ML/DL training, testing and inference pipelines for the latest GPU and CPU hardware and cloud environments.
• Design and building of DL/ML-based systems optimized to meet production requirements.
• Development and optimization of production inference and data pipelines.
• Delivering AI/ML solutions to production.
• Analysis, transformation and bootstrapping of datasets.

Requirements:

• BS degree in math and computer science, or related field.
• 4+ years of experience as machine learning engineer or software engineer in ML-related projects.
• Experience in Natural Language Processing and/or Information Retrieval.
• Solid understanding of deep learning methods.
• Experience in ML/DL modeling frameworks like PyTorch and/or other DL frameworks.
• Experience with popular modern NLP libraries/frameworks including Hugging Face Transformers.
• Algorithmic skills
• Developed programming skills (Python)
• English language (B1+)

The following will hugely increase our interest:

• MS or PhD Degree.
• Publications in related domain.
• Experience with inference and serving engines.
• Experience in building LLM-based solutions.
• Skills in algorithms and data structures design.
• Linux user experience

About Company Statement:

Accuris delivers essential intelligence that powers decision making. We provide the world’s leading organizations with the right data, connected technologies and expertise they need to move ahead. We think differently, combining the knowledge and resources of an established company with the unapologetic boldness of a startup. https://accuristech.com/

Our mission: build an evolvable knowledge and data platform that enables STEM professionals to unlock and deliver innovation to the world’s most complex problems.

Accuris provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.