Machine Learning Engineer

vor 4 Wochen

Berlin, Deutschland THRYVE Vollzeit

Job Title: Senior Machine Learning Engineer


Salary : 70k-95k


Location: Germany (Remote)


Job Description:


Are you passionate about leveraging machine learning to drive meaningful change and innovation? Do you thrive in a fast-paced, collaborative environment where your expertise can make a real difference? If so, we want you on our team


As a Senior Machine Learning Engineer a, you will play a pivotal role in developing and implementing advanced machine learning models and algorithms to solve challenging problems in [specific domain or industry]. Working closely with cross-functional teams of data scientists, engineers, and domain experts, you will lead the design, development, and deployment of cutting-edge machine learning solutions that drive business growth and impact.


Responsibilities:

  • Lead the end-to-end development of machine learning models and algorithms, from data collection and preprocessing to model training, evaluation, and deployment.
  • Collaborate with data scientists, software engineers, and domain experts to understand business requirements, identify opportunities for applying machine learning techniques, and translate them into actionable solutions.
  • Research, experiment with, and implement state-of-the-art machine learning algorithms and techniques to solve complex problems and improve model performance.
  • Design and optimize scalable machine learning pipelines and infrastructure to support real-time data processing and model deployment.
  • Stay current with the latest advancements in machine learning, artificial intelligence, and related fields, and incorporate them into our technology stack and practices.
  • Mentor junior team members, provide technical guidance and support, and foster a culture of learning and innovation within the team.


Qualifications:

  • Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Mathematics, Statistics, or a related field.
  • years of experience in developing and deploying machine learning models and algorithms in a production environment.
  • Solid understanding of machine learning fundamentals, including supervised and unsupervised learning, deep learning, reinforcement learning, and probabilistic modelling.
  • Proficiency in programming languages such as Python, R, or Java, as well as deep learning frameworks such as TensorFlow, PyTorch, or Keras.
  • Experience with big data technologies and distributed computing frameworks such as Hadoop, Spark, or Flink.
  • Strong problem-solving skills, attention to detail, and ability to think critically and creatively to overcome technical challenges.
  • Excellent communication and teamwork skills, with the ability to effectively collaborate with cross-functional teams and stakeholders.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform is a plus.


Why Join Us:

  • Opportunity to work on cutting-edge technology and tackle challenging problems that have a real-world impact.
  • Collaborative and inclusive culture that values diversity, creativity, and continuous learning.
  • Competitive salary, benefits package, and opportunities for career growth and advancement.
  • Flexible work arrangements and a supportive work-life balance.
  • Dynamic and fast-paced environment where your contributions are recognized and valued.

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