Senior AI/ML Engineer responsible for translating federal supply chain and logistics problems into analytical solutions, developing forecasting, classification, and NLP models, and deploying them into production. The role owns model development, data pipelines, monitoring, retraining, drift detection, validation, documentation, and stakeholder communication. Work includes operating within government-controlled environments and meeting federal bias evaluation and documentation requirements.
Who we are...
Latitude is a growing Service-Disabled Veteran Owned (SDVOSB) Company within the Federal Sector. We have experience in working with various federal clients across multiple different agencies. We believe in adopting and growing a remote work-from-home culture wherever possible to ensure a healthy work-to-life balance. We believe in automating the mundane and investing in our employees helping them grow their careers over time. We strive for innovation and want to develop solutions that we can take pride in and help break through some of the barriers that exist in technology and the government sectors today.
We are hiring a Senior AI/ML Engineer to bring machine learning into supply chain and logistics systems for a federal health customer. You will take mission problems from framing through a deployed model, decide what is worth modeling and what is not, and own the analytical approach end to end. This is the senior technical seat for ML on the program. This position is fully remote within the United States.
What you will do...
- Translate operational problems into an end-to-end analytical approach, and say plainly when ML is the wrong tool.
- 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 collection, cleansing and integration so models have something to learn from.
- Communicate results and their limits to stakeholders who will make decisions on them.
Minimum qualifications...
- 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).
Preferred qualifications...
- Experience on federal health IT programs.
- Time series forecasting applied to inventory, demand or logistics.
- MLOps tooling experience (MLflow, Kubeflow, SageMaker or equivalent).
- Natural language processing on operational or clinical text.
- Cloud experience in government regions (AWS GovCloud, Azure Government).
- Experience in SAFe at scale, including Program Increment planning.
- Familiarity with federal IT governance and approved-tooling processes.
Clearance...
Citizenship...
Applicants selected will be subject to a Security Investigation and May need to Meet Requirements for Access to Protected and/or Classified Information
Citizenship...
Applicants need to be a US Citizen to be considered for the position and have physically resided in the United States for a minimum of 3 years due to background investigation requirements.
- 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)
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