Mainz
Full Time
Engineer

ML Engineer

We are looking for a highly motivated ML Engineer with a focus on Natural Language Processing (NLP) to join our team at Predict42- As a Machine Learning Engineer, you'll be at the forefront of designing, developing, and maintaining our AI Services. Your expertise in machine learning and natural language processing will be instrumental in creating groundbreaking solutions that power our feedback analytics platform MIGO. You will be reporting to our Tribe Lead AI & Data Science.

Apply Now! Write an email to people@predict42.com

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Responsibilities:

  • Design, develop, and maintain AI Services for text and image analysis, as well as generative AI capabilities.
  • Integrate AI Services into our AI Service Factory for rapid prototyping and seamless integration with MIGO.
  • Develop, train, and optimize machine learning models for tasks such as text classification, sentiment analysis, image recognition, and generative AI.
  • Prepare and preprocess data for machine learning tasks, including feature extraction, normalization, and handling imbalanced datasets.
  • Evaluate model performance using appropriate metrics and continuously refine models to improve accuracy and efficiency.
  • Conduct research and experimentation to explore new machine learning techniques and stay up-to-date with industry trends.

Qualifications:

  • Strong foundation in machine learning algorithms and techniques (e.g., supervised learning, unsupervised learning, deep learning).
  • Proficiency in Python and popular machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn).
  • Experience with natural language processing (NLP) tasks such as text classification, sentiment analysis, and text generation.
  • Understanding of computer vision techniques for image analysis and object recognition.
  • Knowledge of data preprocessing, feature engineering, and model evaluation techniques.
  • Strong problem-solving and analytical skills.
  • Excellent communication and collaboration skills.
  • Experience with Google Cloud Platform (GCP) machine learning services (e.g., Vertex AI, Cloud AI Platform).
  • German language proficiency at a minimum B2 level.

Preferred Qualifications:

  • Familiarity with MLOps practices for managing machine learning models in production environments.
  • Experience with research and publication in relevant fields

Benefits:

  • Learning Opportunities: Cutting-edge projects, mentorship, career advancement.
  • Competitive Compensation: Competitive salary, benefits, virtual stock options.
  • Agile Culture: Collaborative young team in a fun working environment
  • Impactful Work: Innovative solutions, purpose-driven company.

Perks & Benefits

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EARN: Salary + Equity
We foster an entrepreneurial culture by offering a virtual stock option program.
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FLEXIBILITY: Hybrid work
we offer mix of remote and on-premise work, combining the best of both worlds
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GROW: Research Time
all employees have blocked research time per week at their disposal.
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PLAN: Pension Plan
we subsidize up to 20% of you pension plan / direct insurance via salary conversion
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COMPASSION: Care
we care and support you, if you go through a difficult time at some point in your life.
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BOND: Team Building
we organize different team events, including a super exciting offsite each year.
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Apply now.

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