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Computer Vision/Machine Learning Software...

Posted 1 day 8 hours ago by TEKsystems

Contract
Not Specified
I.T. & Communications Jobs
Aargau, Baden, Switzerland
Job Description

Job Description:

Computer vision/Machine Learning Software Engineer

Summary:

An industry leader is bringing together a world-class team of researchers, developers, and engineers to create the future of virtual and augmented reality, which together will become as universal and essential as smartphones and personal computers are today.

As a CV/ML engineer working on 2D&3D AR/VR projects, you'll be driving efforts to develop new capabilities for Codec Avatars that provide creativity and social play experiences for people connecting through AR or VR products. This includes building the infrastructure, training, analysing and productizing 2D&3D CV/ML algorithms that define the future of online social interaction.

Job Responsibilities

Design, build and launch efficient CV/ML models and evaluate them in Real Time and on mobile device.

Develop prototypes for future AR/VR experiences, cutting edge research, drive continued development, or integrate robust solutions into products

Code using Python and efficient Real Time CV/ML libraries.

Analyze and improve efficiency, scalability, and stability of various system resources.

Complete medium to large features (each with many tasks) independently without guidance.

Proactively identify and drive changes as needed for assigned codebase, product area and/or systems.

Minimum Qualifications

BS/MS in Computer Science or a related technical field.

5+ years of experience in Python and CV/ML development

Experience in building and maintaining scalable CV/ML pipelines (image processing, model training)

Experience with CV/ML performance and runtime optimization

Experience with Data Modeling.

Verbal and written communication skills, problem solving skills, customer service and interpersonal skills.

Ability to work independently and manage one's time.

Knowledge of the full software development life cycle: from business/systems analysis, through requirements gathering and functional specification authoring, to development, testing and delivery.

Ability to troubleshoot issues and make system changes as needed to resolve issue.

GenAI/diffusion-models/Gaussian splats

Preferred Qualifications

Designing and implementing Real Time CV/ML pipelines.

ML Model optimization and on-device deployment

Designing and implementing data pipelines for CV/ML systems.

Experience with workflow management engines (ie Airflow, Luigi, Prefect, Dagster, digdag.io, Google Cloud Composer, AWS Step Functions, Azure Data Factory, UC4, Control-M).

Experience querying massive datasets using Spark, Presto, Hive, Impala, etc.

Skills

  • Python
  • computer vision
  • machine learning
  • data modelling
  • gaussian software
  • software development life cycle
  • airflow
  • Spark
  • hive
  • impala

Job Title: Computer Vision/Machine Learning Software Engineer

Location: Baden, Switzerland

Job Type: Contract

TEKsystems, an Allegis Group company. Allegis Group AG, Aeschengraben 20, CH-4051 Basel, Switzerland. Registration No. CHE-101.865.121. TEKsystems is a company within the Allegis Group network of companies (collectively referred to as "Allegis Group"). Aerotek, Aston Carter, EASi, TEKsystems, Stamford Consultants and The Stamford Group are Allegis Group brands. If you apply, your personal data will be processed as described in the Allegis Group Online Privacy Notice available at our website.

To access our Online Privacy Notice, which explains what information we may collect, use, share, and store about you, and describes your rights and choices about this, please go our website.

We are part of a global network of companies and as a result, the personal data you provide will be shared within Allegis Group and transferred and processed outside the UK, Switzerland and European Economic Area subject to the protections described in the Allegis Group Online Privacy Notice. We store personal data in the UK, EEA, Switzerland and the USA. If you would like to exercise your privacy rights, please visit the "Contacting Us" section of our Online Privacy Notice on our website for details on how to contact us. To protect your privacy and security, we may take steps to verify your identity, such as a password and user ID if there is an account associated with your request, or identifying information such as your address or date of birth, before proceeding with your request. commitments under the UK Data Protection Act, EU-U.S. Privacy Shield or the Swiss-U.S. Privacy Shield.

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