Senior AI/ML Engineer

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $195k - $208k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

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Latitude IT Solutions | SDVOSB

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2021

🤝 B2B

💼 Consulting

🏛️ Government

B2B • Consulting • Government

Latitude IT Solutions | SDVOSB is an SBA-certified Service-Disabled Veteran-Owned Small Business that provides user-centric, mission-driven IT solutions designed to accelerate business processes and enhance operational efficiency. The company emphasizes next-generation capabilities, flexible and extensible architectures for integration and expansion, and leverages modern technologies and methodologies to deliver innovative, mission-focused solutions — commonly targeted at organizational and government customers.

📋 Description

• Bring machine learning into supply chain and logistics systems for a federal health customer. • Take mission problems from framing through a deployed model. • Decide what is worth modeling and what is not. • Own the analytical approach end to end. • Translate operational problems into an end-to-end analytical approach. • Develop, train and evaluate models across forecasting, classification and natural language tasks. • Own the path from notebook to production, including retraining, monitoring and drift detection. • Work with data engineering on data collection, cleansing and integration. • Communicate results and their limits to decision-making stakeholders.

🎯 Requirements

• Master's degree and 18+ years of analytics, data science or machine learning experience. • Production experience with TensorFlow, PyTorch or Keras, including GPU-accelerated training. • Demonstrated ownership of a model from problem framing through deployment and monitoring. • Building the data pipelines your models depend on, including storage and retrieval at scale. • Deploying models inside a government-controlled environment rather than a public AI service, including delivery of models and weights and meeting federal requirements for bias evaluation and documentation. • Experience validating model results and communicating uncertainty to non-technical stakeholders. • Ability to obtain and maintain a federal background investigation (Public Trust). • Applicants need to be a US Citizen to be considered for the position. • Applicants must have physically resided in the United States for a minimum of 3 years due to background investigation requirements. • Preferred: Experience on federal health IT programs. • Preferred: Time series forecasting applied to inventory, demand or logistics. • Preferred: MLOps tooling experience (MLflow, Kubeflow, SageMaker or equivalent). • Preferred: Natural language processing on operational or clinical text. • Preferred: Cloud experience in government regions (AWS GovCloud, Azure Government). • Preferred: Experience in SAFe at scale, including Program Increment planning. • Preferred: Familiarity with federal IT governance and approved-tooling processes.

🏖️ Benefits

• Medical, Vision, Dental • Paid Vacation & Sick Time • Paid Federal Holidays • 401k Retirement Plan with 100% Company Matching • Employer Paid Life Insurance • Continued Education Assistance • Employee Assistance Program (EAP) • Commuter Benefits Program • Health Savings Account (HSA) • Remote work-from-home culture • Healthy work-to-life balance