Machine learning Engineer & AI Platform Developer - 10+years of experirnce
At a glance
Mid-level ML Platform & Ops role at Two95 International Inc. Herndon · contract.
Pay not stated ML Platform & Ops salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build machine learning models and AI platforms to address complex problems
- Prepare large datasets, analyze them with machine learning methods, and draw out useful findings
- Deploy machine learning systems through cloud services and connect models with existing applications
- Track model performance, improve results, and document code, processes, and outcomes
What you bring
- A bachelor's or master's degree in computer science, data science, AI, or a related field
- Experience in a machine learning engineering role or similar, with three years preferred
- Programming ability in Python, R, or Java, plus experience with machine learning libraries
- Hands-on experience deploying AI solutions through AWS, Google Cloud, Azure, or another listed platform
Who this fits
This role suits an engineer who builds and deploys models, works with large datasets, and partners with data scientists and software engineers. The listing describes the job as remote and full-time, while the provided role details identify it as onsite in Herndon and contract.
From the employer
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.
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.