Machine Learning Engineer - All Levels

FedWriters is growing its Artificial Intelligence and Machine Learning (AI/ML) capabilities to support anticipated projects and innovative solutions for future contracts. As part of this expanding team, you’ll have opportunities to shape impactful AI/ML models that advance decision-making and efficiency across diverse applications.

 

Recently recognized as a 2024 Top Workplace by the Washington Post, FedWriters offers a collaborative and growth-focused environment, ideal for forward-thinking professionals ready to drive the future of AI/ML.

We are seeking skilled and driven Machine Learning Engineers of all levels.  In this role, you will work with cutting-edge technologies to design, deploy, and optimize machine learning models that support critical applications. This is an excellent opportunity to apply your expertise in programming, machine learning frameworks, and cloud platforms to real-world challenges, with a focus on deploying scalable AI solutions.  Whether you're at the beginning of your career or have extensive experience, you’ll play a vital role in pushing technology boundaries and delivering meaningful outcomes.  

 

• Implement, optimize, and deploy machine learning models to meet performance and scalability requirements.
• Collaborate with data scientists and software engineers to bring ML models from prototype to production.
• Build and maintain infrastructure for model deployment, including data pipelines, monitoring, and automated workflows.
• Ensure the reliability and robustness of deployed models through regular testing, monitoring, and updates.
• Apply DevOps best practices to streamline ML model deployment and management processes.
• Work with cloud platforms (AWS, Azure, GCP) to enable scalable model deployment and storage.

 

• Bachelor's or Master's Degree in Computer Science, Data Science, Engineering or a related field.
• Active Secret or higher level security clearance or the ability to obtain.
• Programming: Strong skills in Python, Java, or C++.
• ML Frameworks: Proficiency in TensorFlow, PyTorch, and scikit-learn; experience with model optimization.
• Cloud Platforms: Experience with AWS SageMaker, Google Cloud AI, or Azure ML.
• MLOps/DevOps: Familiar with Docker, Kubernetes, Kubeflow, MLflow, Airflow, or Argo for model deployment.
• Data Processing: Proficient in Apache Spark, Databricks, or Apache Kafka.
• Data Management: Knowledge of Amazon S3, Google BigQuery, Azure Data Lake, or Snowflake.
• Version Control & CI/CD: Experience with Git, Jenkins, GitLab CI/CD, or GitOps.
• Monitoring & Visualization: Familiar with Elasticsearch, Logstash, and Kibana.
• Security & Compliance: Knowledge of HashiCorp Vault, AWS IAM, or Azure Active Directory.
• Strong problem-solving abilities and a collaborative, team-oriented approach.

 

Whether you’re in early-career or a senior expert, we welcome applications from individuals ready to advance AI capabilities for the defense sector. Apply today!

 

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