

TWO95 International, Inc
Machine Learning Engineer & AI Platform Developer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Engineer & AI Platform Developer, remote for over 6 months, offering a competitive pay rate. Key skills include Python, AWS, and machine learning libraries. Requires 3+ years' experience and a degree in a related field.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
545
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🗓️ - Date
February 20, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Herndon, VA
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🧠 - Skills detailed
#Programming #AWS (Amazon Web Services) #Azure #Visualization #Computer Science #Datasets #Scala #Java #Libraries #PyTorch #ML (Machine Learning) #R #GCP (Google Cloud Platform) #Tableau #AI (Artificial Intelligence) #Python #Matplotlib #Data Science #TensorFlow #Cloud
Role description
Job Title: Machine Learning Engineer & AI Platform Developer Location: Remote Type: Full-Time Job Description: We are looking for a talented Machine Learning Engineer & AI Platform Developer to join our team. In this role, you will be responsible for designing, developing, and deploying machine learning models and AI applications. You will work closely with data scientists, software engineers, and other stakeholders to implement AI solutions that meet business needs. Key Responsibilities:
Design and develop machine learning models and AI platforms to solve complex problems.
Work with large datasets to preprocess, analyze, and derive insights using machine learning techniques.
Implement and deploy scalable machine learning solutions using cloud platforms (e.g., AWS, GCP, Azure).
Collaborate with cross-functional teams to integrate machine learning models into existing applications.
Optimize and monitor model performance, making improvements as necessary.
Stay current with emerging AI technologies and best practices to drive continuous improvement.
Document processes, code, and model performance for future reference.
Requirements: Qualifications:
Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field.
Proven experience as a Machine Learning Engineer or similar role (3+ years preferred).
Strong programming skills in Python, R, or Java, and experience with machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
Experience with cloud platforms like AWS, Google Cloud, or Azure for deploying AI solutions.
Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
Solid understanding of algorithms, data structures, and software engineering principles.
Excellent analytical, problem-solving, and communication skills.
Ability to work collaboratively in a fast-paced environment.
Job Title: Machine Learning Engineer & AI Platform Developer Location: Remote Type: Full-Time Job Description: We are looking for a talented Machine Learning Engineer & AI Platform Developer to join our team. In this role, you will be responsible for designing, developing, and deploying machine learning models and AI applications. You will work closely with data scientists, software engineers, and other stakeholders to implement AI solutions that meet business needs. Key Responsibilities:
Design and develop machine learning models and AI platforms to solve complex problems.
Work with large datasets to preprocess, analyze, and derive insights using machine learning techniques.
Implement and deploy scalable machine learning solutions using cloud platforms (e.g., AWS, GCP, Azure).
Collaborate with cross-functional teams to integrate machine learning models into existing applications.
Optimize and monitor model performance, making improvements as necessary.
Stay current with emerging AI technologies and best practices to drive continuous improvement.
Document processes, code, and model performance for future reference.
Requirements: Qualifications:
Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field.
Proven experience as a Machine Learning Engineer or similar role (3+ years preferred).
Strong programming skills in Python, R, or Java, and experience with machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
Experience with cloud platforms like AWS, Google Cloud, or Azure for deploying AI solutions.
Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
Solid understanding of algorithms, data structures, and software engineering principles.
Excellent analytical, problem-solving, and communication skills.
Ability to work collaboratively in a fast-paced environment.






