Machine Learning Engineer

Company Overview

Company Overview not specified.

Job Summary

We are seeking an experienced Machine Learning Engineer with over 5 years of expertise in designing, developing, and deploying machine learning solutions. The role focuses on delivering scalable AI/ML systems and integrating them into production environments, thereby contributing to the organization’s goal of leveraging cutting-edge technology to drive innovation.

Responsibilities

• Design and develop machine learning models using libraries such as NumPy, Pandas, TensorFlow, and Keras.
• Optimize models employing techniques like Stochastic Gradient Descent and various optimizers including Adam, RMSprop, and Adagrad.
• Develop APIs using FastAPI for seamless integration and functionality.
• Test and document workflows utilizing tools like Postman.
• Collaborate with cross-functional teams to ensure that AI/ML systems are scalable and effectively deployed in production.

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.
• 5+ years of experience in machine learning and software development.
• Proficiency in Python and ML libraries such as NumPy, Pandas, TensorFlow, and Keras.
• Strong understanding of model optimization techniques and algorithms.
• Experience with API development and testing protocols.
• Excellent problem-solving abilities and strong analytical skills.
• Good communication skills to convey technical concepts clearly to non-technical stakeholders.

Preferred Skills

• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
• Experience in deploying machine learning models on cloud services.
• Knowledge of additional programming languages (e.g., Java, R) is a plus.

Experience

• Minimum of 5 years of relevant experience in machine learning engineering or related roles.

Environment

Work environment details not specified.

Salary

Salary information not specified.

Growth Opportunities

Career advancement opportunities not specified.

Benefits

Benefits information not specified.