Artificial Intelligence Developer Role

2 days ago

Dinan, Bretagne, United States Credence company Full time

About Credence

Credence is a leading company in the field of artificial intelligence and machine learning. We are committed to delivering innovative solutions that drive business value and improve lives.

Job Responsibilities

In this role, you will be responsible for designing, developing, and deploying AI models and machine learning algorithms to support various high-impact projects.

You will collaborate with cross-functional teams to understand, evaluate, and deliver AI solutions that meet requirements.

  • Design and develop machine learning models and AI-driven solutions.
  • Collaborate with cross-functional teams to 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.

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.

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

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