Role overview
Job Summary
We are seeking a dynamic and innovative Manager - AI Engineering to lead our artificial intelligence initiatives and drive transformative solutions across the organization. In this role, you will oversee the development, deployment, and optimization of AI models and machine learning frameworks, ensuring they align with business objectives. Your expertise will empower teams to harness big data, advanced analytics, and cutting-edge AI technologies to solve complex problems and unlock new opportunities. This position offers a unique chance to shape the future of AI-driven innovation within a fast-paced, forward-thinking environment.
What you'll work on
- Lead the design, development, and deployment of scalable AI models utilizing frameworks such as TensorFlow and other machine learning tools.
- Manage cross-functional teams focused on data mining, natural language processing (NLP), and unsupervised learning techniques to extract valuable insights from large datasets.
- Oversee the integration of AI solutions with cloud platforms like AWS, ensuring robust model training, testing, and deployment pipelines.
- Collaborate with data engineers to develop efficient ETL processes, database schemas, and data pipelines using tools like Talend, Hadoop, Spark, and Bash scripting.
- Drive innovation by exploring emerging AI trends such as quantum engineering and linked data to enhance organizational capabilities.
- Ensure best practices in model validation, performance tuning, and analytics reporting using tools like Looker and SAS.
- Establish standards for database design, model versioning, and documentation to promote transparency and reproducibility across projects.
- Mentor team members on machine learning frameworks (e.g., R, Python), programming languages (Java, C), and model deployment strategies for scalable production environments.
What we're looking for
- Proven experience managing AI engineering teams in a fast-paced environment with a strong understanding of machine learning frameworks such as TensorFlow or PyTorch.
- Extensive knowledge of big data technologies including Hadoop, Spark, and SQL-based databases for data analysis and processing.
- Proficiency in programming languages such as Python, Java, C, VBA, Bash (Unix shell), along with experience in natural language processing (NLP) techniques.
- Hands-on experience with cloud platforms like AWS for model training and deployment at scale.
- Strong background in data mining, database design, ETL processes, and analytics tools including SAS and Looker.
- Familiarity with advanced concepts such as unsupervised learning algorithms and quantum engineering principles is a plus.
- Excellent leadership skills with the ability to inspire technical teams while collaborating effectively across departments.
- Strong communication skills to articulate complex technical concepts clearly to stakeholders at all levels. Join us as we push the boundaries of artificial intelligence! Bring your passion for innovation and your expertise in AI engineering to help shape the future of technology-driven solutions that make a real impact worldwide.
Pay: $80.00 - $90.00 per hour
Work Location: In person