Junior Python ML Engineer [$225k/yr+] TS/SCI-FS Poly

SYSTOLIC, INC.
Herndon, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Junior
Compensation
$ 225K

Job location

Herndon, United States of America

Tech stack

Testing (Software)
Amazon Web Services (AWS)
Systems Engineering
Cloud Computing
ETL
Data Visualization
Software Debugging
DevOps
Django
Monitoring of Systems
Python
PostgreSQL
Natural Language Processing
Office Suite
Software Architecture
TensorFlow
Prometheus
Software Engineering
SQL Databases
Web Applications
PyTorch
Large Language Models
FastAPI
REST
Microservices

Job description

  • Requires Python application development with data science libraries, ML frameworks including TensorFlow and PyTorch, and Natural Language Processing techniques.
  • Build REST services using SQL and PostgreSQL.
  • Perform requirements analysis, software testing, and debugging of web applications.
  • Design and develop ETL pipelines, integrate Large Language Models, and create RESTful APIs or microservices with Django.
  • Optimize algorithms and implement monitoring tools like Prometheus.
  • Support operations and maintenance of cloud-based systems., * Support a team creating component-based services to integrate with multiple applications and frameworks.
  • Provide development support for service and application development to enhance and develop mission-based solutions and support other program office software projects.
  • Develop Python applications utilizing data science libraries, ML frameworks (TensorFlow, PyTorch), and Natural Language Processing techniques.
  • Build REST services with SQL and PostgreSQL.
  • Conduct requirements analysis, software testing, and debugging of web applications.
  • Design and develop ETL pipelines.
  • Integrate Large Language Models (LLM) into solutions.
  • Create RESTful APIs or microservices using Django.
  • Optimize algorithms and implement monitoring tools such as Prometheus.
  • Support operations and maintenance of cloud-based systems, including AWS.
  • Collaborate on systems engineering, software architecture, and program management tasks.
  • Contribute to technical writing, system security, and data visualization efforts.
  • Participate in DevOps practices, model training, and integration and test (I&T) activities.
  • Demonstrate technical team leadership capabilities.

Requirements

  • Degree: Technical bachelor's degree or equivalent experience
  • Years of experience: 3+ years
  • Total Compensation: $225k+ yearly (tentative)

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