Applied AI Engineer

3 days ago

New York, New York, United States SOCOTEC Full time
  • About SOCOTEC
  • SOCOTEC is a leading provider of niche consulting services within the architecture, engineering, and construction industries. We focus on high-performance buildings and specialty structures, adopting a holistic approach to solving complex challenges.
  • Our expertise spans building envelopes, energy efficiency, sustainability, code advisory, and construction advisory projects. We strive for excellence, driving our growth and recognition as a best-in-class service provider.
  • About the Role
  • We are seeking a skilled Applied AI Engineer to design, develop, and deploy AI models that enhance our chatbot program and other AI-driven solutions. You will collaborate with cross-functional teams to integrate advanced AI technologies addressing real-world challenges within our industry.
  • Key Responsibilities
  • Developing AI Models: Design and implement machine learning models tailored to natural language processing (NLP) and other AI applications within our chatbot and enterprise systems.
  • Collaborating with Cross-Functional Teams: Work closely with product managers, data scientists, and software engineers to translate business requirements into intelligent AI-driven solutions.
  • Building and Maintaining AI Pipelines: Create and optimize end-to-end machine learning pipelines, from data preprocessing to model deployment, ensuring scalability and performance.
  • Optimizing Model Performance: Continuously fine-tune and improve the accuracy, speed, and robustness of AI models, leveraging techniques like hyperparameter tuning and model optimization.
  • Requirements
  • Proficiency in Python and experience with AI/ML libraries such as Scikit-learn, TensorFlow, PyTorch, and Hugging Face.
  • Strong understanding of natural language processing (NLP) and experience building chatbot or conversational AI systems.
  • Hands-on experience with AI model development, including data preprocessing, model training, evaluation, and deployment.
  • Familiarity with AI/ML tools like Jupyter Notebook and cloud platforms such as AWS, GCP, or Azure.
  • Experience with version control systems (e.g., Git, GitHub) and agile development methodologies.
  • Preferred Qualifications
  • Familiarity with reinforcement learning, transfer learning, or other advanced AI techniques.
  • Knowledge of model monitoring, A/B testing, and continuous improvement strategies for AI systems.
  • Experience with containerization tools like Docker for deploying AI solutions.

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