Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field.
3+ years of experience as a Machine Learning Engineer or similar role.
Proficient in Python, R, or Java, with hands-on experience in machine learning libraries like TensorFlow, PyTorch, or Scikit-learn.
Experience deploying AI solutions on cloud platforms such as AWS, Google Cloud, or Azure.
Familiarity with data visualization tools like Matplotlib, Seaborn, or Tableau.
Solid grasp of algorithms, data structures, and software engineering principles.
Strong analytical, problem-solving, and communication skills.
Responsibilities
Design and develop machine learning models and AI platforms for complex problems.
Preprocess, analyze, and derive insights from large datasets using machine learning techniques.
Implement and deploy scalable machine learning solutions on cloud platforms.
Collaborate with cross-functional teams to integrate machine learning models into applications.
Monitor and optimize model performance, making adjustments as necessary.
Stay updated with emerging AI technologies and best practices for continuous improvement.
Document processes, code, and model performance for future reference.
Full Job 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.
