AI/ML Engineer

Job Overview
We are seeking a dynamic and innovative AI/ML Engineer to join our cutting-edge technology team. In this role, you will harness the power of artificial intelligence and machine learning to develop scalable solutions that drive business insights and operational excellence. Your expertise will enable us to build intelligent systems, optimize data workflows, and deploy models that transform raw data into actionable intelligence. If you thrive in a fast-paced environment, love solving complex problems with advanced algorithms, and are passionate about pushing the boundaries of AI technology, this position is for you!

Duties

• Design, develop, and implement machine learning models using frameworks such as TensorFlow and other popular tools to solve real-world problems across various domains.
• Conduct data mining and data analysis to extract valuable insights from large datasets stored in big data environments like Hadoop and Spark.
• Build robust ETL (Extract, Transform, Load) pipelines to prepare data for modeling, ensuring high-quality input for training and deployment processes.
• Collaborate with cross-functional teams to integrate AI solutions into existing systems, including model deployment on cloud platforms like AWS.
• Develop natural language processing (NLP) applications to enhance language understanding capabilities within products and services.
• Design scalable database architectures and optimize SQL queries for efficient data retrieval and storage.
• Utilize unsupervised learning techniques to identify patterns and anomalies in complex datasets, supporting advanced analytics initiatives.

Skills

• Deep expertise in machine learning frameworks such as TensorFlow, PyTorch, or similar platforms.
• Strong programming skills in Python, Java, C, Bash (Unix shell), VBA, and R for developing algorithms and automating workflows.
• Experience with cloud computing environments like AWS for model training, deployment, and scaling solutions.
• Proficiency in big data tools including Hadoop, Spark, Talend, and Looker for data processing and visualization.
• Knowledge of database design principles along with SQL expertise for managing structured data efficiently.
• Familiarity with natural language processing (NLP), AI techniques, and model training methodologies.
• Understanding of data mining techniques, linked data concepts, and analytics strategies to derive meaningful insights from complex datasets.
• Experience working with machine learning models in production environments with a focus on deployment best practices.
• Knowledge of quantum engineering principles is a plus for exploring emerging AI research areas. Join us to be at the forefront of AI innovation! Bring your passion for machine learning, your technical prowess across diverse tools and frameworks, and your drive to develop intelligent solutions that make a difference worldwide!

Pay: $67,053.59 - $100,000.00 per year

Work Location: Hybrid remote in San Antonio, TX 78218