Description

You will design, research, and implement machine learning systems and algorithms to support AI strategy. You will deliver production-quality pipelines with an emphasis on scalability and reliability.

Responsibilities

• Design and develop machine learning applications and production-quality pipelines.
• Research, implement, and fine-tune machine learning algorithms through statistical analysis and testing.
• Write scalable code in Python and develop back-end components and REST APIs.
• Collaborate with Data Scientists, Data Engineers, and leadership to design functional prototypes and AI/ML solutions.
• Manage data representation, select appropriate datasets, and integrate data storage solutions.

Required Skills

• 3+ years of experience applying AI to practical use cases.
• Proficiency in Python, Java, and/or R.
• Experience with deep learning, NLP, and TensorFlow.
• Hands-on experience with machine learning libraries such as scikit-learn.
• Competency in NoSQL database design and RDBMS design and optimization.
• Strong understanding of data structures, data modeling, and software architecture.
• Knowledge of object-oriented and functional design principles.
• Solid foundation in math, probability, statistics, and algorithms.
• Experience in REST API development.

Preferred Skills

• Bachelor's degree in a relevant technology field.
• Experience working with cloud environments.

Key Skills

Education

Any Graduate