Lead Machine Learning Engineer

Lead Machine Learning Engineer The Opportunity: Experience-based system design can begin to seem like precognition at some point. When you've engineered so many systems that you can not just tailor the best solution for any technology-based hurdle, but can also predict and counteract future complications, you’re a solutions architect. Your skills have gone beyond strategy through a significant trail of software development achievements and the curiosity to comprehend how every component of an IT ecosystem comes together. Are you ready to use your mixture of knowledge, skill, and experience to face the toughest obstacles in our nation’s public health system? As a solution architect on our team, you'll reinterpret your customer’s IT needs and upcoming goals into a blueprint by creating architecture products, design specifications, and Agile frameworks that catalyze innovative, technical solutions. Through your leadership, we’ll assist in remodeling how the federal health sector employs technology, including Cloud migration, integrating state-of-the-art technology, and modernizing legacy systems. And, what's the next step in a career where you’ve achieved this height? You guide the upcoming set of developers to help them evolve into future solutions architects. As a technical leader, you’ll form the digital solutions business and discover opportunities for expansion. Work with us and establish the future of technology in healthcare for the better. Join us. The world can’t wait. You Have: - 10+ years of experience with software engineering, artificial intelligence, data science, machine learning engineering, or data engineering, including in a research or professional role - Experience working with artificial intelligence and machine learning technology stack and practices - Experience leading software development and artificial intelligence implementation and deployment projects - Experience with coding languages, including Python, SQL, and Java - Experience with contemporary Cloud computing technologies, including AWS, Azure, and GCP - Knowledge of the data life cycle, including data acquisition, discovery, sharing, consumption, synthesis, conversion, and disposition - Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements - Bachelor’s degree Nice If You Have: - Experience with technology consulting - Experience with establishing enterprise-wide Data Platform architecture, frameworks, design, and development standards - Experience with developing high-quality briefings for senior Federal Government leadership - Ability to select and implement the appropriate data platform tools and systems to support data technology goals, including R, Python, or Jupyter Notebooks - Ability to design, develop, and manage large-scale complex data engineering pipelines and data governance models - AWS, Google Cloud, or Microsoft Azure certification