Senior Machine Learning Engineer at PwC Austria (w/m/d)

at  PwC

Wien, W, Austria -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate23 Dec, 2024Not Specified28 Sep, 2024N/ATech Savvy,Training,Apache Spark,Nlp,Git,Microservices,Architecture,Kubernetes,PandasNoNo
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Description:

JOB 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

OPTIONAL SKILLS

Desired Languages (If blank, desired languages not specified)

TRAVEL REQUIREMENTS

Not Specified

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 advantageou

Responsibilities:

  • 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 :-)
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required:
Degrees/Field of Study preferred:
Certifications (if blank, certifications not specified)


REQUIREMENT SUMMARY

Min:N/AMax:5.0 year(s)

Information Technology/IT

IT Software - Application Programming / Maintenance

Software Engineering

Graduate

Proficient

1

Wien, W, Austria