Senior Machine Learning Engineer
Überblick
KI-Zusammenfassung
Design, build, and deploy machine learning models to solve complex business problems. Work closely with data analysts and product managers to address data requirements.
Erforderliche Skills
Ausbildung
Tools & Technologien
Sprachen
Deine Aufgaben
- Design machine learning models
- Build and deploy algorithms
- Perform data exploration and preprocessing
- Train and optimize machine learning models
- Monitor and evaluate deployed models
Benefits
Autonomy
Proactiveness
Learning from mistakes
Making an impact
Collaboration
Unternehmen
CoachHub GmbH
CoachHub is a global talent development platform enabling behavioral change with world-class coaching. They reinvent people development to support individual, collective, and organizational transformation.
Unternehmenskultur
Remote-first, multidisciplinary teams with a focus on autonomy, proactiveness, and collaboration.
Originale Stellenbeschreibung
Senior Machine Learning Engineer
Location: Hybrid - Berlin | Type: Full time
We are seeking a highly skilled and experienced Senior Machine Learning Engineer to join our dynamic team. In this role, you will be responsible for designing, developing, and deploying advanced machine learning models and algorithms that drive our core data products and services.
Location: Remote within the EU. (We have hubs in Berlin & Paris)
Responsibilities
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Design, build, and deploy machine learning models and algorithms to solve complex business problems.
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Perform data exploration, cleaning, and preprocessing to prepare datasets for model training.
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Train and optimize machine learning models, ensuring high performance and scalability.
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Stay up-to-date with the latest developments in machine learning and AI, and apply innovative techniques to improve existing models and processes.
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Monitor and evaluate the performance of deployed models, making necessary adjustments and improvements.
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Work closely with data analysts, data product managers and other stakeholders to understand and address their data requirements.
Requirements
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Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or a related field.
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Hands-on experience in machine learning and AI, with a proven track record of developing and deploying models in a production environment.
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Strong programming skills in Python.
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Strong knowledge of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch)
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Experience with data manipulation and analysis using tools like Pandas, NumPy, and SQL.
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Experience with cloud platforms (AWS).
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Excellent communication and collaboration skills.
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Ability to work independently and as part of a team in a fast-paced environment.
Would be great if you also had
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Experience in the use of AWS Lambda, EKS, ECS, EC2, SNS, SQS, S3, Event Bridge, Step Functions.
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Knowledge of Infrastructure as Code e.g. CDK, Terraform.
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Experience with Metaflow, Git, CI/CD
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Familiarity with generative AI, LLM.