Overview
On Site
USD 70.00 - 75.00 per hour
Full Time
Skills
Testing
Optimization
TensorFlow
PyTorch
Algorithms
Research
Art
UI
User Experience
Agile
UPS
Sprint
Microsoft Azure
Google Cloud Platform
Google Cloud
Scalability
Documentation
Network Layer
Root Cause Analysis
Issue Resolution
Physical Layer
Data Link Layer
Scripting
Workflow
Reliability Engineering
Cloud Management
Amazon SageMaker
Electronic Health Record (EHR)
Amazon Redshift
Python
Flask
Django
Amazon S3
Amazon EC2
Generative Artificial Intelligence (AI)
DevOps
Docker
Kubernetes
Continuous Integration
Continuous Delivery
RESTful
Debugging
Conflict Resolution
Problem Solving
Soft Skills
Communication
Collaboration
Management
Computer Science
Software Development
Artificial Intelligence
Cloud Computing
Amazon Web Services
Machine Learning (ML)
Information Technology
Privacy
Finance
Credit Cards
Banking
Onboarding
Payroll
Training
Reporting
LinkedIn
Job Details
Job Title: Python Developer
Location: Reston Virginia 20190 (3 Days Onsite)
Duration: 12+ Months Contract
Job id - FNMAJP00039459
Key Responsibilities
1. Python Development:
Design, develop, and maintain Python-based applications and tools.
Write clean, efficient, and reusable code while adhering to best practices.
Integrate third-party APIs and libraries as needed.
Perform code reviews, testing, debugging, and optimization.
2. Generative AI Development:
Develop and fine-tune generative AI models using frameworks like TensorFlow, PyTorch, or Hugging Face.
Implement machine learning algorithms and deploy AI-powered solutions for specific business requirements.
Research and experiment with state-of-the-art generative AI techniques (e.g., GPT, Stable Diffusion, Transformers).
Build custom AI models and pipelines to address domain-specific challenges.
3. Collaboration:
Work closely with data scientists, engineers, and stakeholders to understand project requirements and deliver solutions.
Collaborate with UI/UX teams to integrate AI models into applications.
Participate in Agile workflows, including daily stand-ups, sprint planning, and retrospectives.
4. Deployment & Maintenance:
Deploy AI solutions on cloud platforms like AWS, Azure, or Google Cloud.
Monitor system performance and optimize scalability and reliability.
Troubleshoot issues in production and implement fixes.
5. Documentation:
Create comprehensive documentation for AI models, tools, and code.
Provide guidelines for users and teams for seamless integration and usage.
6. L3 Support:
Investigate, diagnose, and resolve advanced issues related to GenAI solutions, Python applications, and AWS infrastructure.
Provide root cause analysis (RCA) for production incidents and ensure quick turnaround for issue resolution.
Collaborate with L1/L2 teams and developers to troubleshoot and resolve complex problems.
Development and Automation:
Develop, test, and deploy Python-based scripts, applications, and workflows.
Automate routine tasks and implement monitoring tools to ensure system reliability.
AWS Cloud Management:
Design, implement, and maintain cloud-native solutions on AWS (e.g., Lambda, S3, EC2, SageMaker,EMR,Redshift etc.).
Optimize AWS services for cost efficiency and performance.
Required Skills and Qualifications
Technical Skills:
Strong proficiency in Python programming and frameworks (e.g., Flask, FastAPI, Django).
Hands-on experience with AWS services (e.g., Lambda, S3, EC2, IAM, CloudFormation).
Experience with GenAI tools (e.g., OpenAI, Hugging Face, or custom LLMs).
Knowledge of DevOps tools like Docker, Kubernetes, and CI/CD pipelines.
Familiarity with RESTful APIs and integration of AI/ML solutions.
Strong debugging and problem-solving skills in production environments.
Soft Skills:
Excellent communication and collaboration skills.
Ability to work in a fast-paced environment and manage competing priorities.
Education and Experience:
Bachelors degree in Computer Science, Engineering, or a related field.
10+ years of experience in software development, with 5+ years in AWS and AI/ML technologies.
Preferred Skills
Certification in AWS (e.g., AWS Certified Solutions Architect or Developer).
Certification in AI/ML or cloud technologies (e.g., AWS Certified Machine Learning).
About PTR Global: PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5000 professionals providing services across the U.S. and Canada. For more information visit
At PTR Global, we understand the importance of your privacy and security. We NEVER ASK job applicants to:
The specific compensation for this position will be determined by several factors, including the scope, complexity, and location of the role, as well as the cost of labor in the market; the skills, education, training, credentials, and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits, including medical, dental, vision, and 401K contributions, as well as PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work.
If you receive a suspicious message, email, or phone call claiming to be from PTR Global, do not respond or click on any links. Instead, contact us directly at +1 . To report any concerns, please email us at
Add your LinkedIn Hashtag at end of the job description
#LI-HY1
Location: Reston Virginia 20190 (3 Days Onsite)
Duration: 12+ Months Contract
Job id - FNMAJP00039459
Key Responsibilities
1. Python Development:
Design, develop, and maintain Python-based applications and tools.
Write clean, efficient, and reusable code while adhering to best practices.
Integrate third-party APIs and libraries as needed.
Perform code reviews, testing, debugging, and optimization.
2. Generative AI Development:
Develop and fine-tune generative AI models using frameworks like TensorFlow, PyTorch, or Hugging Face.
Implement machine learning algorithms and deploy AI-powered solutions for specific business requirements.
Research and experiment with state-of-the-art generative AI techniques (e.g., GPT, Stable Diffusion, Transformers).
Build custom AI models and pipelines to address domain-specific challenges.
3. Collaboration:
Work closely with data scientists, engineers, and stakeholders to understand project requirements and deliver solutions.
Collaborate with UI/UX teams to integrate AI models into applications.
Participate in Agile workflows, including daily stand-ups, sprint planning, and retrospectives.
4. Deployment & Maintenance:
Deploy AI solutions on cloud platforms like AWS, Azure, or Google Cloud.
Monitor system performance and optimize scalability and reliability.
Troubleshoot issues in production and implement fixes.
5. Documentation:
Create comprehensive documentation for AI models, tools, and code.
Provide guidelines for users and teams for seamless integration and usage.
6. L3 Support:
Investigate, diagnose, and resolve advanced issues related to GenAI solutions, Python applications, and AWS infrastructure.
Provide root cause analysis (RCA) for production incidents and ensure quick turnaround for issue resolution.
Collaborate with L1/L2 teams and developers to troubleshoot and resolve complex problems.
Development and Automation:
Develop, test, and deploy Python-based scripts, applications, and workflows.
Automate routine tasks and implement monitoring tools to ensure system reliability.
AWS Cloud Management:
Design, implement, and maintain cloud-native solutions on AWS (e.g., Lambda, S3, EC2, SageMaker,EMR,Redshift etc.).
Optimize AWS services for cost efficiency and performance.
Required Skills and Qualifications
Technical Skills:
Strong proficiency in Python programming and frameworks (e.g., Flask, FastAPI, Django).
Hands-on experience with AWS services (e.g., Lambda, S3, EC2, IAM, CloudFormation).
Experience with GenAI tools (e.g., OpenAI, Hugging Face, or custom LLMs).
Knowledge of DevOps tools like Docker, Kubernetes, and CI/CD pipelines.
Familiarity with RESTful APIs and integration of AI/ML solutions.
Strong debugging and problem-solving skills in production environments.
Soft Skills:
Excellent communication and collaboration skills.
Ability to work in a fast-paced environment and manage competing priorities.
Education and Experience:
Bachelors degree in Computer Science, Engineering, or a related field.
10+ years of experience in software development, with 5+ years in AWS and AI/ML technologies.
Preferred Skills
Certification in AWS (e.g., AWS Certified Solutions Architect or Developer).
Certification in AI/ML or cloud technologies (e.g., AWS Certified Machine Learning).
About PTR Global: PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5000 professionals providing services across the U.S. and Canada. For more information visit
At PTR Global, we understand the importance of your privacy and security. We NEVER ASK job applicants to:
- Pay any fee to be considered for, submitted to, or selected for any opportunity.
- Purchase any product, service, or gift cards from us or for us as part of an application, interview, or selection process.
- Provide sensitive financial information such as credit card numbers or banking information. Successfully placed or hired candidates would only be asked for banking details after accepting an offer from us during our official onboarding processes as part of payroll setup.
The specific compensation for this position will be determined by several factors, including the scope, complexity, and location of the role, as well as the cost of labor in the market; the skills, education, training, credentials, and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits, including medical, dental, vision, and 401K contributions, as well as PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work.
If you receive a suspicious message, email, or phone call claiming to be from PTR Global, do not respond or click on any links. Instead, contact us directly at +1 . To report any concerns, please email us at
Add your LinkedIn Hashtag at end of the job description
#LI-HY1
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.