- 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.
- 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.
- 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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Machine Learning Engineer - Cologne, Deutschland - THRYVE
Beschreibung
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:
Qualifications:
Why Join Us: