Applied AI Engineer

SOCOTEC • Dallas, TX

3h • Hybrid

About The Position

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.
• 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: 1,001-5,000 employees