Data Scientist Position

4 days ago

Dinan, Bretagne, United States Credence company Full time

Company Overview

Credence is a leading company seeking a talented Data Scientist to join our team. In this role, you will design, develop, and implement AI models and machine learning algorithms to support various high-impact projects.

This position is ideal for an engineer ready to deepen their expertise and take on exciting technical challenges.

Job Description

In this role, you will:

  • Design, develop, and deploy machine learning models and AI-driven solutions.
  • Collaborate with cross-functional teams to understand, evaluate, and deliver AI solutions that meet requirements.
  • Conduct data preparation, feature engineering, model selection, training, and optimization to ensure optimal performance from AI models.
  • Design and implement AI solutions using the latest Generative AI technologies and foundation models/large-language models (LLMs).
  • Develop automation scripts for MLOps pipelines in cloud using Infrastructure as Code (IaC) for ML model deployment in model inferencing workflows, following best practices of model versioning and CI/CD deployments.
  • Monitor and maintain AI models post-deployment, ensuring performance, accuracy, and scalability.
  • Contribute to the development of AI tools, frameworks, and best practices to support the company's AI initiatives.
  • Stay up-to-date with emerging trends, tools, and techniques in AI and machine learning.
  • Write clean, maintainable, and well-documented code following industry standards.

Education, Requirements, and Qualifications:

  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
  • 3-5 years of hands-on experience in AI/ML development in a professional working environment, with a track record of successful AI project deployments.
  • Strong understanding of supervised, unsupervised, and reinforcement learning techniques.
  • Proficiency in using Python and common AI/ML libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn, NumPy, Pandas) for data preprocessing, feature engineering, and model development techniques.
  • Basic understanding and usage of foundation models/Large Language Models (LLMs), vector embeddings, and their application.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization tools (Docker, Kubernetes).
  • Experience using ML frameworks and tools in the cloud, such as Amazon Sagemaker.
  • Strong problem-solving skills and the ability to work both independently and as part of a team.
  • Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.

Estimated Salary: $140,000 - $160,000 per year, depending on experience and qualifications.

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