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Remote Machine Learning Engineer - Deutschland - THRYVE
Beschreibung
Job Title:
Senior Machine Learning Engineer
Location:
Germany (Remote)
Are you passionate about leveraging machine learning to drive meaningful change and innovation? 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.
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.
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.Excellent communication and teamwork skills, with the ability to effectively collaborate with cross-functional teams and stakeholders.
Competitive salary, benefits package, and opportunities for career growth and advancement.
Flexible work arrangements and a supportive work-life balance.
