Senior AI/ML Engineer (Azure) in Bethesda

• 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, To enhance efficiency, fairness, and accuracy, Analytica may use AI-assisted tools to support certain aspects of our hiring process.

• Application Review: AI tools may help identify skills and experiences relevant to the role.

• Interview Support: AI-powered notetaking tools may be used during interviews to document discussions and summarize key points.

These tools are used to assist our team. All hiring decisions are made by Analytica recruiters and hiring managers.

By submitting an application, you acknowledge that AI-assisted tools may be used to support parts of the application and interview process.

When receiving email communication from Analytica, please ensure that the email domain is analytica.net to verify its authenticity.

• 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 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- engineering, AI/ML workflows, analytics platform reliability, and governance compliance., * Bachelor's degree in engineering, Mathematics, Computer Science, Physics or similar sciences. Master's or PhD a strong plus in Statistics, Mathematics, Computer Science, or familiar

• 8+ years of experience developing scalable, production-ready AI/ML solutions

• Must be Microsoft Certified: Azure AI Engineer Associate and/or Microsoft Certified: Azure Solutions Architect

• Strong problem-solving skills, leverage domain knowledge, information technology, and Ai-ML techniques

• Programming & Frameworks: 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 : 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 and able to obtain and maintain a Public Trust security clearance

Analytica has been recognized by Inc. for 3 consecutive years as one of the 250 fastest growing business. We offer competitive compensation with opportunities for bonuses, employer paid health care, training and development funds, and 401k match.

Energy Jobline is the largest and fastest growing global Energy Job Board and Energy Hub. We have an audience reach of over 7 million energy professionals, 400,000+ monthly advertised global energy and engineering jobs, and work with the leading energy companies worldwide. We focus on the Oil & Gas, Renewables, Engineering, Power, and Nuclear markets as well as emerging technologies in EV, Battery, and Fusion. We are committed to ensuring that we offer the most exciting career opportunities from around the world for our jobseekers., Analytica is seeking a Senior AI-ML Engineer (Azure) with deep Microsoft Azure ecosystem experience combining a blend of high-level architectural design skills, deep proficiency in Azure's specialized AI toolset, and a mastery of the end-to-end Machine Learning Lifecycle (MLOps). This lead role will be supporting long term federal client engagements in in the DC Metro area., About ANALYTICA: Analytica is a leading consulting and information technology solutions provider to public sector organizations supporting health, civilian, and security missions. Founded in 2009 and headquartered in Bethesda, MD, the company is an established SBA small business that has been recognized by Inc. Magazine each of the past three years as one of the 250 fastest-growing companies in the U.S. Analytica specializes in providing software and systems engineering, information management, analytics & visualization, agile project management, and management consulting services. The company is appraised by the Software Engineering Institute (SEI) at CMMI® Maturity Level 3 and is an ISO 9001:2008 certified provider.