Machine Learning Engineer

Akraya; United States; Hybrid; USD 120,000 - 170,000; Full time

Job summary

Akraya is seeking a Machine Learning Engineer to design, develop, deploy, and optimize scalable ML solutions in a hybrid/remote environment aligned with PST hours. You will collaborate with Data Scientists, Data Engineers, and business stakeholders to translate requirements into AI solutions.

You will implement CI/CD pipelines, manage model deployment and lifecycle, and contribute to scalable automation for enterprise applications.

Qualifications

• 5+ years of experience deploying ML solutions.
• Strong knowledge of supervised and unsupervised learning algorithms.
• Hands-on experience with neural networks and NLP.
• Advanced programming skills in Python and SQL.
• Experience with Azure AI/ML services and cloud deployment.

Responsibilities

• Design, develop, train, and deploy ML models for analytics and automation.
• Collaborate with data scientists and stakeholders to translate requirements into AI solutions.
• Implement CI/CD pipelines and DevOps practices for model deployment and lifecycle management.

Skills

Python

SQL

Machine Learning

NLP

Neural Networks

CI/CD

Tools

Azure AI/ML

Job description

To support enterprise applications, the full-time Machine Learning Engineer will design, develop, deploy, and optimize scalable machine learning solutions while working in a hybrid/remote environment that requires support for PST hours.

Key responsibilities:

• Design, develop, train, and deploy machine learning models for predictive analytics and intelligent automation
• Collaborate with Data Scientists, Data Engineers, and business stakeholders to translate requirements into scalable AI solutions
• Implement CI/CD pipelines and DevOps practices for model deployment, versioning, and lifecycle management

Required qualifications:

• 5+ years of experience developing and deploying Machine Learning solutions
• Strong expertise in supervised and unsupervised machine learning algorithms
• Hands-on experience with neural networks and natural language processing (NLP)
• Advanced programming skills in Python and SQL
• Experience with Microsoft Azure AI/ML services and cloud-based model deployment