Digisourced.
Machine Learning Engineer
Digisourced.Switzerland15 days ago
ContractRemote FriendlyInformation Technology

Hello Network!



I hope you're doing well today,



We are currently looking for a Machine Learning Engineer to work for a banking client in Zurich, Switzerland:



Expected start date: 1st Oct 2025

Contract Duration: 6 months

Languages Required: English

Remote/Onsite/Hybrid: Hybrid 3 days/week in client location

Location: Zurich, Switzerland

Rate: Negotiable

Client interview : Yes

Years of exp required: 7+ years

Travel Reimbursement : No



Job Role:



  • We are looking for a skilled AI/ML Engineer to design, develop, and implement machine learning models and AI-driven solutions.
  • The ideal candidate will have a strong background in data science, programming, and deep learning frameworks, along with experience in deploying AI models into production environments.



Key Responsibilities:



  • Develop and deploy machine learning models for various applications, including NLP, computer vision, and predictive analytics.
  • Preprocess and analyze large datasets to extract meaningful insights.
  • Build and optimize deep learning models using TensorFlow, PyTorch, or similar frameworks.
  • Design and implement scalable AI solutions for real-world problems.
  • Work with cross-functional teams to integrate AI models into applications and business processes.
  • Optimize model performance, ensure robustness, and manage model retraining pipelines.
  • Stay updated with the latest AI/ML trends, research papers, and technologies.



Required Skills & Qualifications:



  • Bachelor's/Master’s degree in Computer Science, Data Science, AI, or a related field.
  • Strong proficiency in Python, TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy, OpenCV (or similar libraries).
  • Experience with cloud platforms like AWS, GCP, or Azure for deploying AI models.
  • Proficiency in working with databases (SQL, NoSQL) and big data technologies.
  • Knowledge of MLOps, CI/CD for AI pipelines, and containerization (Docker, Kubernetes) is a plus.
  • Familiarity with NLP, Computer Vision, and Reinforcement Learning techniques.
  • Strong problem-solving and analytical skills with an ability to work in a fast-paced environment.



Preferred Qualifications:



  • Experience with LLMs (Large Language Models) and Generative AI.
  • Hands-on experience in AI model optimization, pruning, and quantization.
  • Contributions to open-source AI/ML projects or relevant research publications.



If interested, or you know someone that could be, please reach out and we can arrange a time to speak?

Key Skills

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