Analytica · 22 hours ago
AI/ML Engineer (Azure)
Analytica is a leading consulting and information technology solutions provider to public sector organizations. They are seeking a Senior AI-ML Engineer (Azure) to lead a cross-functional team, focusing on the end-to-end Machine Learning Lifecycle and supporting federal client engagements.
AnalyticsBig DataBusiness IntelligenceConsulting
Responsibilities
Lead a small cross-functional AI-ML and Data Engineering team for delivery and participate in Agile ceremonies, including planning, reviews, and retrospectives
Translate mission objectives into actionable technical plans aligned with federal standards and modernization goals
Feature Engineering and Attribute Evaluation - Candidate must demonstrate experience with identifying the key determinants for modeling that exist in the business process and within existing data sets as well as selecting evaluation protocols (model techniques)
Pre-processing - Demonstrate the skills and experience to collect, clean, and prepare data sets for input into a computational model using Python and SQL. Strong candidates will explain various methods you have applied using common pre-processing functions
Modeling - Candidates will have practiced skills and experience selecting modeling techniques to fit the business problem. Examples will include techniques such as machine learning (ML) supervised and unsupervised learning, regression, neural networks and deep learning, natural language processing, etc
Validation - Strong candidates will describe their experience with investigating, reporting, and justifying model results
Visualization- Experience in presenting the results of their modeling activities, depicting the insights realized, and explaining the relevance of their results to the organization’s business challenges
Implement Azure cloud-native engineering, AI/ML workflows, analytics platform reliability, and governance compliance
Qualification
Required
Bachelor's degree in engineering, Mathematics, Computer Science, Physics or similar sciences
Master's or PhD a strong plus preferred in Statistics, Mathematics, Computer Science, or familiar
Certification in Azure AI Engineering or Azure Solutions Architect highly preferred
Strong problem-solving skills, leverage domain knowledge, information technology, and Ai-ML techniques
Advanced proficiency in Python (specifically for PyTorch, TensorFlow, and Scikit-learn)
Experience with orchestration frameworks like LangChain, Semantic Kernel, or AutoGen
Deep demonstrated enterprise hands-on experience with Azure AI Foundry (formerly Azure AI Studio): Managing the unified platform for building, testing, and deploying AI models
Azure OpenAI Service: Implementing LLMs (GPT-4o, etc.) with custom fine-tuning or prompt engineering
Azure AI Search: Designing vector databases and hybrid search for RAG-based systems
Azure AI Speech, Vision, and Language: Integrating pre-built cognitive services into enterprise applications
Azure Machine Learning (Azure ML): Designing and managing automated ML pipelines, environment configurations, and compute clusters
Demonstrated expertise in data, analytics, or AI/ML workflows in regulated or mission-driven environments
Strong communication, stakeholder engagement, and cross-team collaboration capabilities
Must be a US citizen and able to obtain and maintain a Public Trust security clearance
Benefits
Competitive compensation
Opportunities for bonuses
Employer paid health care
Training and development funds
401k match