FedWriters ยท 17 hours ago
Machine Learning Engineer - All Levels
Remote - US, US
Full-time
Remote
Entry Level
Maximize your interview chancesCommunications InfrastructurePublishing
No H1B
Security Clearance Required
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Responsibilities
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.
Qualification
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Required
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.
Strong skills in Python, Java, or C++.
Proficiency in TensorFlow, PyTorch, and scikit-learn; experience with model optimization.
Experience with AWS SageMaker, Google Cloud AI, or Azure ML.
Familiar with Docker, Kubernetes, Kubeflow, MLflow, Airflow, or Argo for model deployment.
Proficient in Apache Spark, Databricks, or Apache Kafka.
Knowledge of Amazon S3, Google BigQuery, Azure Data Lake, or Snowflake.
Experience with Git, Jenkins, GitLab CI/CD, or GitOps.
Familiar with Elasticsearch, Logstash, and Kibana.
Knowledge of HashiCorp Vault, AWS IAM, or Azure Active Directory.
Strong problem-solving abilities and a collaborative, team-oriented approach.
Benefits
Health Insurance
Dental Insurance
Vision Insurance
Long-term and Short-term Disability Insurance
Life Insurance
401(k) Plan
Holiday Pay
Paid Time Off
Company
FedWriters
FedWriters is a writing, communication, and analysis company that provides technical writing, editing, and graphics design services.
Founded in 2010
51-200 employees
Funding
Current Stage
Growth StageLeadership Team
Mitchell Cho
President and CEO
Marc Fain
Chief Revenue Officer
Recent News
2024-01-24
2023-02-28
Company data provided by crunchbase
