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AI/ML Engineer – Data, Full-Stack Solutions
IT CoalitionAI/ML Engineer leveraging technology innovations to solve government mission challenges. Designing, developing, and deploying advanced AI-driven solutions in a hybrid work environment.
Tech Stack
Tools & technologiesAirflowAngularApacheAWSAzureCloudDockerETLGoogle Cloud PlatformJavaJavaScriptKubernetesMicroservicesPythonPyTorchReactTensorflowTypeScriptVue.js
About the role
Key responsibilities & impact- Design, develop, and deploy AI/ML solutions, including LLMs, NLP, computer vision, and predictive analytics
- Build and implement Retrieval-Augmented Generation (RAG) pipelines and AI-powered applications
- Integrate AI solutions into existing enterprise systems and workflows
- Design and implement scalable data pipelines for ingestion, transformation, and processing of structured and unstructured data
- Develop and maintain data lakehouse architectures
- Build ETL/ELT workflows using tools such as Azure Data Factory, Apache Airflow, or similar
- Develop end-to-end applications, including frontend, backend, and APIs
- Create intuitive user interfaces for AI-driven applications
- Deploy applications using cloud-native architectures (AWS, Azure, GCP)
- Translate business requirements into technical architectures and working solutions
- Integrate AI and data solutions into enterprise and cloud environments
- Collaborate with cross-functional teams to deliver production-ready solutions
- Clearly articulate complex technical concepts through written documentation, proposals, and solution artifacts
Requirements
What you’ll need- Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field
- 4+ years of experience in AI/ML, data engineering, or full-stack development
- Strong programming skills in Python, JavaScript/TypeScript, or Java
- Experience with AI/ML frameworks (TensorFlow, PyTorch, Hugging Face, OpenAI APIs)
- Experience building data pipelines and working with big data technologies
- Hands-on experience with cloud platforms (AWS, Azure, or GCP)
- Experience with REST APIs, microservices, and frontend frameworks (React, Angular, or Vue)
- Experience with LLMs, RAG architectures, and generative AI applications
- Familiarity with Databricks, Snowflake, or lakehouse architectures
- Experience with DevOps tools (Docker, Kubernetes, CI/CD pipelines)
Benefits
Comp & perks- Health, Dental, and Vision
- 401(k)
- Tuition Reimbursement
- Flexible Spending Account (FSA)
- 11 Paid Federal Holidays
- 3 weeks Paid Time Off
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AI/MLNLPcomputer visionpredictive analyticsdata pipelinesETLELTprogramming in Pythonprogramming in JavaScriptprogramming in Java
Soft Skills
collaborationcommunicationproblem-solvingtechnical documentationbusiness requirements translation
Certifications
Bachelor’s degree in Computer ScienceMaster’s degree in Data ScienceMaster’s degree in Engineering