Machine Learning Engineer

The role

You will design, develop, and deploy machine learning models for various applications. You will work with clients to deliver AI-driven solutions and mentor others.

What you will do

• Design, develop, and deploy machine learning models for predictive analytics, classification, and clustering
• Build and optimize scalable, end-to-end ML pipelines
• Collaborate with data scientists, data engineers, and MLOps teams
• Integrate ML models into production environments
• Monitor, evaluate, and retrain models
• Implement cloud-based solutions for machine learning workflows
• Stay up to date on emerging ML/AI technologies
• Document processes and develop technical materials

Required qualifications

• 3-5 years of prior experience as a ML Engineer
• Bachelor's or Master’s degree in Computer Science, AI, Data Science, or related field
• Proven experience as a Machine Learning Engineer with expertise in designing, developing, and deploying ML models
• Proficiency in Python and ML libraries such as TensorFlow, PyTorch, and scikit-learn
• Strong understanding of algorithms, statistics, and machine learning techniques
• Experience deploying models using cloud platforms (AWS, GCP, or Azure)
• Strong problem-solving skills
• Ability to work in a collaborative environment

Benefits

• Comprehensive Health Plan: Prepaid health coverage for you and your immediate family
• Team Engagement Activities
• Annual Performance Bonus
• Growth Opportunities
• Flexible Work: Hybrid model with mostly remote work and one day per week in the office
• Paid Time Off & Holidays

About the company

Cuesta Partners is a company with a broad base of clients for various engagements. They have a data practice focused on AI and machine learning capabilities.