Sr Manager AI/ML Engineering - Remote Nationwide or Hybrid in MN/DC

Primary Responsibilities

• Lead, mentor, and grow a team of high-performing AI/ML Engineers focused on researching, developing, and deploying advanced machine learning models and algorithms in production environments
• Oversee the design, development, and deployment of complex AI-powered solutions addressing business challenges, ensuring collaboration across research, engineering, and product teams to translate cutting-edge AI advancements into scalable, reusable production-ready capabilities
• Evaluate emerging AI trends, scientific research, and advanced methodologies to inform team solution design, architectural direction, and strategic innovation
• Promote the leverage of enterprise-approved AI tools within the team to streamline engineering workflows, automate routine tasks, and drive continuous improvement
• Direct the development of scalable code and software systems that integrate advanced artificial intelligence capabilities (including NLP, NLU, deep learning, computer vision, and automatic speech recognition)
• Partner with leadership, product owners, and internal stakeholders to translate complex analytics results, business needs, and cutting-edge research findings into practical, production-ready AI solutions
• Ensure rigorous experimental methodologies, advanced statistical analysis, probability theory, and optimization techniques are applied systematically across all model developments
• Oversee ML operations (MLOps) workflows, ensuring seamless model monitoring, validation, version control, and continuous integration/deployment
• Uphold ethical AI principles by embedding fairness, transparency, and accountability throughout the complete model research and development lifecycle

Required Qualifications

• Bachelor's degree or equivalent experience
• 7+ years of experience in software engineering, with at least 4+ years of specialized experience in AI, machine learning, deep learning, or data science
• 5+ years of experience coding in Python for tool-building, model training, and data analysis
• 4+ years of experience implementing machine learning models in production environments using frameworks such as TensorFlow, PyTorch, or Scikit-Learn
• 3+ years of experience working with large-scale data systems and distributed computing frameworks (e.g., Spark, Hadoop, Kafka, or Databricks)
• 3+ years of experience building and deploying software solutions within cloud-based platforms, specifically Azure
• 3+ years of experience applying experimental methodologies, statistics, optimization, and probability theory to solve complex technical problems
• 3+ years of experience directly leading, mentoring, or managing technical teams of software or AI/ML engineers

Preferred Qualifications

• Master's or Ph.D. in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative technical field
• Experience with NLP/NLU (natural language processing/understanding), semantic understanding, intent classification, computer vision, deep learning, and automatic speech recognition (ASR)
• Experience developing applications with LLM integration using advanced frameworks such as LangChain and LangGraph
• Experience in the healthcare, clinical data, or operations domains
• Solid knowledge of MLOps best practices, model tracking (e.g., MLflow, Kubeflow), and cloud-based AI deployment (e.g., AWS, Azure, GCP)
• Proven excellent communication skills, with a demonstrated ability to explain complex statistical and analytical concepts to non-technical business partners and leadership