Remote ML Engineer & AI Platform Architect

Two95 International Inc.; Herndon (VA); On-site; USD 100,000 - 130,000; Full time

Job summary

A technology solutions company is looking for a talented Machine Learning Engineer & AI Platform Developer with over 3 years of experience. This role involves designing, developing, and deploying machine learning models and AI applications. Ideal candidates will have a Bachelor's or Master's degree in a relevant field, strong programming skills in Python, R, or Java, and experience with cloud platforms like AWS or Azure. You will work collaboratively with data scientists and software engineers to implement innovative AI solutions.

Qualifications

• 3+ years of experience as a Machine Learning Engineer or similar role preferred.
• Strong programming skills in Python, R, or Java.

Responsibilities

• Design and develop machine learning models and AI platforms.
• Work with large datasets to derive insights using machine learning techniques.
• Implement and deploy scalable machine learning solutions using cloud platforms.
• Collaborate with teams to integrate models into existing applications.
• Optimize and monitor model performance.

Skills

Python

R

Java

TensorFlow

PyTorch

Scikit-learn

Data visualization

Cloud platforms (AWS, GCP, Azure)

Education

Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field

Tools

Matplotlib

Seaborn

Tableau

Job description

Job Title: Machine Learning Engineer & AI Platform Developer - 10+years experience

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.

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.