paycor
Artificial Intelligence (AI) and Machine Learning (ML) Engineer – Subject Matter Expert (SME)
DeNOVO Solutions
Aurora, USA
Full-time
Senior Level
Onsite
USD 175000-230000 yearly
Discovered 1 weeks ago
Free
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- Lead the architecture, design, development, and implementation of enterprise and mission-focused AI/ML systems, platforms, and capabilities.
- Develop, train, validate, optimize, and deploy machine learning and deep learning models.
- Apply advanced AI techniques across areas such as NLP, generative AI, computer vision, predictive analytics, and related emerging technologies.
- Evaluate emerging AI technologies, frameworks, models, and methodologies to identify opportunities for improved mission effectiveness.
- Establish and mature AI/ML engineering best practices, technical standards, model validation procedures, governance frameworks, and MLOps processes.
- Provide technical oversight for data engineering, feature development, model performance monitoring, deployment pipelines, and AI/ML lifecycle management.
- Design and guide scalable approaches for model deployment, inference, monitoring, retraining, versioning, and sustainment.
- Advise program and organizational leadership on AI strategy, technology roadmaps, technical risk, architecture decisions, and responsible AI implementation.
- Ensure AI/ML solutions align with applicable cybersecurity, data privacy, ethical AI, governance, and regulatory requirements.
- Collaborate with cross-functional technical teams to integrate AI/ML capabilities into operational software platforms and mission systems.
- Mentor engineers and data scientists while providing technical guidance, design reviews, and engineering oversight.
- Serve as a primary technical authority and trusted advisor for AI/ML-related initiatives.
- Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related technical discipline.
- Ten (10) or more years of relevant experience in software engineering, data science, artificial intelligence, machine learning, or a related technical field.
- At least five (5) years of hands-on experience developing and deploying production AI/ML solutions.
- Demonstrated expertise with modern AI/ML frameworks and tools such as TensorFlow, PyTorch, Scikit-learn, Keras, MLflow, or equivalent technologies.
- Experience designing, deploying, or supporting AI/ML solutions within cloud-based environments and AI/ML platforms.
- Strong understanding of machine learning algorithms, deep learning architectures, model evaluation, optimization, and production deployment.
- Strong knowledge of software development methodologies, data architectures, APIs, distributed systems, and modern application development practices.
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