Applied AI Engineer

SOCOTEC • Dallas, TX

1d • Hybrid

About The Position

SOCOTEC is a provider of niche consulting services within the architecture, engineering and construction industries focusing on high-performance buildings and specialty structures. Through an integrated, holistic approach, our professionals provide solutions for building envelope, energy efficiency, sustainability, code advisory and construction advisory projects SOCOTEC’s combination of expertise, experience and methods are increasingly recognized as best-in-class fueling significant growth. SOCOTEC is proud to announce that it has been officially certified as a Great Place to Work by the renowned global authority on workplace culture, Great Place to Work®. As an Applied AI Engineer at SOCOTEC, you will be responsible for designing, developing, and deploying AI models that enhance our chatbot program and other AI-driven solutions. You will collaborate with cross-functional teams, including data scientists, software engineers, and business stakeholders, to integrate advanced AI technologies that address real-world challenges within our industry. You will focus on building scalable, efficient, and accurate machine learning pipelines while staying at the forefront of the latest AI advancements.

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.
• Ability to optimize model performance and scale AI solutions for production use.
• Experience with frameworks like LangChain for building conversational AI workflows.
• The ideal candidate should have at least 2-5 years of experience

Nice To Haves

• 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.
• Passion for exploring and implementing the latest advancements in AI technology.

Responsibilities

• Design and implement machine learning models tailored to natural language processing (NLP) and other AI applications within our chatbot and enterprise systems.
• Work closely with product managers, data scientists, and software engineers to translate business requirements into intelligent AI-driven solutions.
• Create and optimize end-to-end machine learning pipelines, from data preprocessing to model deployment, ensuring scalability and performance.
• Continuously fine-tune and improve the accuracy, speed, and robustness of AI models, leveraging techniques like hyperparameter tuning and model optimization.
• Ensure the reliability and quality of AI models by following best practices for training, testing, and model evaluation.
• Work closely with backend engineers to integrate AI models into production environments using tools like LangChain and cloud services.
• Keep up with the latest developments in AI, machine learning, and natural language processing, applying new techniques to improve our technology stack.
• Provide detailed documentation of AI workflows, models, and algorithms to facilitate collaboration and ensure long-term maintainability.
• Perform all duties as assigned by your manager

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 101-250 employees