

PTR Global
Machine Learning Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Engineer in Reston, VA or Plano, TX, lasting 12+ months at $70-80/hr. Requires strong skills in Python, R, or Java, experience with TensorFlow or PyTorch, and familiarity with AWS for AI deployment.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
640
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🗓️ - Date
February 13, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Hybrid
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Reston, VA
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🧠 - Skills detailed
#Data Processing #Mathematics #Datasets #Hadoop #Python #Spark (Apache Spark) #R #Databricks #Java #AI (Artificial Intelligence) #Deep Learning #Cloud #NLP (Natural Language Processing) #AWS (Amazon Web Services) #PyTorch #Programming #TensorFlow #Model Deployment #MLflow #Statistics #Big Data #Deployment #ML (Machine Learning) #Azure
Role description
Please find the Job Position Details;
Position: Machine Learning Engineer
Location: Reston, VA OR Plano, TX ( 3 Days Onsite – Hybrid)
Duration: 12+ Months (with possible extension)
Pay Rate: $70-80/hr. on W2 (Depending upon the experience)
Job Description:
• Develop and optimize machine learning and deep learning models using frameworks like TensorFlow or PyTorch.
• Strong skills in programming languages such as Python, R, or Java, essential for developing AI applications.
• Build and maintain AI pipelines, from data processing to model deployment.
• Analyze complex datasets to uncover insights and improve model performance.
• Ability to analyze complex problems and develop effective AI-driven solutions.
• Deploy AI solutions on cloud platforms such as AWS.
• Collaborate with technical and business teams to identify AI opportunities and deliver impactful solutions.
• Deep understanding of deploying AI applications within a CICD environment, specifically AWS.
Preferred qualifications:
• Experience with MLOps tools (e.g., MLflow, Kubeflow).
• Knowledge of big data technologies (Spark, Hadoop, Databricks).
• Background in NLP, computer vision, or other advanced AI techniques.
• Relevant certifications (Coursera, edX, AWS, Azure, Google Cloud).
Required qualifications:
• Strong programming skills in Python, R, or Java.
• Hands-on experience with machine learning algorithms and frameworks.
• Familiarity with major cloud platforms for AI deployment.
• Strong analytical and problem? Solving skills.
• Solid foundation in mathematics and statistics.
Please find the Job Position Details;
Position: Machine Learning Engineer
Location: Reston, VA OR Plano, TX ( 3 Days Onsite – Hybrid)
Duration: 12+ Months (with possible extension)
Pay Rate: $70-80/hr. on W2 (Depending upon the experience)
Job Description:
• Develop and optimize machine learning and deep learning models using frameworks like TensorFlow or PyTorch.
• Strong skills in programming languages such as Python, R, or Java, essential for developing AI applications.
• Build and maintain AI pipelines, from data processing to model deployment.
• Analyze complex datasets to uncover insights and improve model performance.
• Ability to analyze complex problems and develop effective AI-driven solutions.
• Deploy AI solutions on cloud platforms such as AWS.
• Collaborate with technical and business teams to identify AI opportunities and deliver impactful solutions.
• Deep understanding of deploying AI applications within a CICD environment, specifically AWS.
Preferred qualifications:
• Experience with MLOps tools (e.g., MLflow, Kubeflow).
• Knowledge of big data technologies (Spark, Hadoop, Databricks).
• Background in NLP, computer vision, or other advanced AI techniques.
• Relevant certifications (Coursera, edX, AWS, Azure, Google Cloud).
Required qualifications:
• Strong programming skills in Python, R, or Java.
• Hands-on experience with machine learning algorithms and frameworks.
• Familiarity with major cloud platforms for AI deployment.
• Strong analytical and problem? Solving skills.
• Solid foundation in mathematics and statistics.





