Senior Machine Learning Engineer at PwC Austria (w/m/d)
Wien - Donau-City-Straße 7
PwC
We are a community of solvers combining human ingenuity, experience and technology innovation to help organisations build trust and deliver sustained outcomes.Line of Service
Internal Firm ServicesIndustry/Sector
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Technology StrategyManagement Level
Senior AssociateJob Description & Summary
Join Our Innovation & AI Team in Austria's Tallest Building!Are you a Machine Learning enthusiast with a passion for Natural Language Processing? We're on the lookout for dynamic Machine Learning professionals who specialize in NLP, particularly in Named Entity Recognition (NER) and Spacy pipelines. This is an exciting opportunity to join a leading global consulting network, where growth and learning are at the forefront.
# From now on
# Full-Time, Part-time (from 30 working hours on)
# Vienna + Home Office
Your tasks in our team:
Specialize in NLP, with a focus on Named Entity Recognition (NER) and Spacy pipelines
Develop innovative machine learning solutions using Python, FastAPI, and microservices architecture
Contribute to Generative AI product development and AI consulting services within a collaborative and diverse team environment
Take on the role of Functional Lead for development aspects of projects if necessary
You are interested in this position? Then we would be happy if you could provide following skills:
The key focus is on the skills, not the years of experience
Python Mastery: Proficiency in Python development with experience in the FastAPI framework. Our solutions leverage FastAPI, microservices architecture, and Docker containers
NLP Expertise: Strong background in NLP, hands-on experience with NER and Spacy pipelines. Familiarity with Large Language Models (LLMs) is a plus, though not mandatory – we provide training in LLMs and GPTs
Tech Savvy: Solid understanding of Azure Cloud and GIT. Proficiency in essential Python packages like pandas, numpy, matplotlib, and seaborn
BONUS Skills: Knowledge in Azure DevOps, Terraform, MLOps practices, Kubernetes, ML Python packages (scikit-learn, keras, tensorflow), and big data tools like Apache Spark (pySpark) and Databricks is advantageous
You do not have all these skills? No problem! We are keen to invest in your qualifications.
At PwC Austria, we are dedicated to fostering a diverse and inclusive workplace for all. Members of (not only traditionally) marginalized groups are especially welcome to apply. We strive and are committed to providing safe space for everyone.
Your annual gross salary would be at least EUR 56.000 All-In (on a full-time basis). Dependent on your qualifications and expertise we will discuss your actual salary during the interview. Are you able to provide more skills and expertise than the above mentioned? We too. At PwC Austria your salary will rise annually.
We are looking forward to receiving your online application including a motivational letter and a CV. We would also be happy, if you could forward us your certificates and transcripts.
Are there any questions left? Please do not hesitate to contact Elma Mehmedovic (+43 1 501 88 3363). She will clarify and answer all your questions :-)
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Degrees/Field of Study required:Degrees/Field of Study preferred:Certifications (if blank, certifications not specified)
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YesGovernment Clearance Required?
NoJob Posting End Date
Tags: Architecture Azure Big Data Consulting Databricks DevOps Docker FastAPI Generative AI Git Keras Kubernetes LLMs Machine Learning Matplotlib Microservices MLOps NLP NumPy Pandas Pipelines PySpark Python Scikit-learn Seaborn spaCy Spark TensorFlow Terraform
Perks/benefits: Career development Salary bonus Team events
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