Innosoft Corporation

Innosoft Corporation

AI/ML Engineer

Washington, District of Columbia, USA · Contract

Sponsorship not specified$120k-$120kDetected 76 days ago
PythonFastAPIFlaskBackend DevelopmentData StructuresAlgorithmsCode ReviewGitSQLNoSQLPostgreSQLMySQLMongoDBDatabricksVector DatabasesAWSAzureCloud PlatformsDockerKubernetesTerraformAnsibleCI/CDGitHub Actions

About the role

  • Containerize machine learning services using Docker and orchestrate deployments on Kubernetes (AKS, EKS) for scalability and resilience;?

Responsibilities

  • FastAPI, Flask, REST API design, async processing?

Nice to have

  • The organization requires production-grade AI/ML systems that meet federal data governance, privacy, and accessibility standards while delivering measurable impact across NEA's mission areas.
  • This role spans the full AI/ML lifecycle, including data preprocessing, feature engineering, model training, evaluation, deployment, and monitoring.
  • Duties/Responsibilities?
  • Conduct data preprocessing, feature engineering, model selection, training, evaluation, and validation across the full ML lifecycle;?
  • Conduct architectural peer reviews for code created by other engineers and contribute to engineering standards across the AI/ML platform;?
  • Contribute to estimations for all tickets in the backlog and participate in Backlog Grooming, Sprint Planning, and Sprint Review meetings;?
  • Adhere to Agile SCRUM methodologies and organizational delivery processes;?
  • Stay current with advancements in AI/ML technologies, including foundation models, agentic AI, fine-tuning techniques, and emerging frameworks, and recommend appropriate solutions for NEA initiatives.

Skills

  • Python (advanced), including async programming and performance optimization?
  • Machine learning frameworks: TensorFlow, PyTorch, scikit-learn, Keras, Orange, Hugging Face Transformers?
  • Generative AI: LLM APIs (OpenAI, Anthropic, Azure OpenAI), prompt engineering, RAG, fine-tuning?
  • Cloud platforms: AWS (SageMaker, Bedrock, Lambda, S3, EC2, EKS) and Microsoft Azure (Azure ML, Azure OpenAI, AKS, Azure Databricks)?
  • Data pipelines and orchestration: Apache Airflow, Kubeflow, MLflow?
  • Databases: PostgreSQL, MySQL, MongoDB, vector databases?
  • Containerization and orchestration: Docker, Kubernetes?
  • MLOps and CI/CD: GitHub Actions, Azure DevOps, Jenkins, model versioning, experiment tracking?
  • Version control with Git?
  • Software testing protocols, code review practices, and clean coding principles Benefits Standard Employee Benefits.
  • 50% Health Insurance Paid by Innosoft, Paid Vacation, 401K Match, STD LTD and AD&D paid by Innosoft.
  • TensorFlow, PyTorch, scikit-learn, Keras, Orange, Hugging Face Transformers?

Compensation

  • $120k-$120k
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This listing is sourced directly from Innosoft Corporation's careers page and normalized into a canonical job model.