AI/ML Engineer

Role Overview

We are looking for AI/ML Engineers to design and implement machine learning systems and self-running AI software to automate predictive modeling. You will develop models that align with business goals, track progress, and improve deployment using MLOps practices.

Responsibilities

• Design and implement machine learning systems and self-running AI software to automate predictive modeling.
• Develop models that align with business goals, track progress, and improve deployment using MLOps practices.
• Convert AI/ML models into APIs for integration by other developers.
• Perform statistical analysis and fine-tune models to optimize performance.
• Collaborate with cross-functional teams to define application requirements and troubleshoot issues.

Requirements

• Proficiency in libraries like scikit-learn and pandas, with experience in processing and validating data.
• Familiarity with Python frameworks such as Django, Flask, or Pyramid for web applications.
• Strong problem-solving, analytical skills, and good communication skills.
• Good stakeholder management abilities and the capacity to work on business-critical applications.
• Proficiency in deep learning frameworks like TensorFlow or Keras is highly valued.

Skills

• Python
• scikit-learn
• TensorFlow
• pandas
• Flask