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AIML R&D Engineer

AIML R&D Engineer

WelocalizeSaarbrücken, Saarland, Germany
Vor 28 Tagen
Stellenbeschreibung

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Job Responsibilities :

The Machine Learning Engineer role is responsible for the design development and implementation of machine learning solutions to serve our organization. This includes ownership or oversight of projects from conception to deployment with appropriate AWS services Docker MLFlow and other. The role also includes responsibility for following best practices with which to optimize and measure the performance of our models and algorithms against business goals.

MAIN TASKS & RESPONSIBILITIES

The following is a non-exhaustive list of responsibilities and areas of ownership of an AI / ML Engineer

  • Design and develop machine learning models and algorithms for various aspects of the localization and business workflow processes including machine translation LLM finetuning and quality assurance
  • Take ownership of key projects from definition to deployment ensuring that they meet technical requirements and maintain momentum and direction until delivery
  • Evaluate and select appropriate machine-learning techniques and algorithms to solve specific problems
  • Implement and optimize machine learning models and technologies using Python TensorFlow and other relevant tools and frameworks
  • Perform statistical analysis and fine-tuning using test results
  • Deploy machine learning models and algorithms using appropriate techniques and technologies such as containerization using Docker and deployment to cloud infrastructure
  • Use AWS technologies (including but not limited to Sagemaker EC2 S3) to deploy and monitor production environments
  • Keep abreast of developments in the field with a dedication to learning in the role
  • Document diligently and communicate thoughtfully about ML experimentation design and deployment
  • Project scope : Define and design solutions to machine learning problems. Integration with larger systems done with the guidance of more senior engineers.

Success Indicators for a Machine Learning Engineer

  • Effective Model Development : Success is evident when the models developed are accurate efficient and align with project requirements.
  • Positive Team Collaboration : Demonstrated ability to collaborate effectively with various teams and stakeholders contributing positively to project outcomes.
  • Continuous Learning and Improvement : A commitment to continuous learning and applying new techniques to improve existing models and processes.
  • Clear Communication : Ability to articulate findings challenges and insights to a range of stakeholders ensuring understanding and appropriate action.
  • Ethical and Responsible AI Development : Adherence to ethical AI practices ensuring models are fair unbiased and responsible.
  • REQUIREMENTS

    Education

  • BSc in Computer Science Mathematics or similar field; Masters degree is a plus
  • Experience

  • Minimum 3 years experience as a Machine Learning Engineer or similar role
  • Skills & Knowledge

  • Ability to write robust production-grade code in Python
  • Excellent communication and documentation skills
  • Strong knowledge of machine learning techniques and algorithms including supervised and unsupervised learning deep learning and reinforcement learning
  • Hands-on high proficiency experience with machine learning frameworks such as TensorFlow PyTorch and Scikit-learn
  • Experience with natural language processing (NLP) techniques and tools
  • Strong communication and collaboration skills with the ability to explain complex technical concepts to non-technical stakeholders
  • Experience taking ownership of projects from conception to deployment and mentoring more junior team members
  • Hands-on experience with AWS technologies including EC2 S3 and other deployment strategies. Experience with SNS Sagemaker a pls.
  • Experience with ML management technologies and deployment techniques such as AWS ML offerings Docker GPU deployments etc
  • Additional Job Details :

    Key Skills

    Laboratory Experience,Vendor Management,Design Controls,C / C++,FDA Regulations,Intellectual Property Law,ISO 13485,Research Experience,SolidWorks,Research & Development,Internet Of Things,Product Development

    Employment Type : Full-Time

    Experience : years

    Vacancy : 1

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