Machine Learning Engineer

About MatchPoint Solutions

MatchPoint Solutions is a fast-growing global IT and Engineering services firm delivering innovative technology solutions to leading enterprises including Uber Robinhood Netflix Airbnb Google and more. With a growing international presence across North America Europe Asia and South America we help organizations turn ideas into outcomes through cutting-edge technology industry best practices and deep technical expertise.

Were expanding our team and looking for driven professionals who want to build impactful solutions in a collaborative high-growth environment.

Job Title: Machine Learning Engineer

Location: San Diego CA (Onsite)

Duration: 06 Months

Employment Type: Contract

Pay Rate Range: $115 to $120

Required experience

• The Machine Learning Ops Engineer II designs builds and operates scalable machine learning infrastructure and deployment pipelines on AWS. This role partners with data scientists and engineering teams to productionize models ensuring reliability security and cost efficiency across ML systems.

Key Responsibilities

• Design and maintain scalable ML pipelines using AWS (e.g. SageMaker Lambda Step Functions S3)
• Build and manage deployment frameworks for real-time and batch model inference
• Develop Python-based tools for data processing model packaging and workflow orchestration
• Implement CI/CD pipelines using GitHub and AWS tooling
• Manage infrastructure using IaC tools (CloudFormation Terraform CDK)
• Monitor log and troubleshoot ML systems to ensure performance and reliability
• Partner cross-functionally to integrate ML models into applications and data platforms
• Optimize ML infrastructure costs using FinOps best practices
• Improve automation scalability and operational efficiency of ML workflows
• Ensure compliance with security governance and regulatory standards
• Contribute to architecture decisions code reviews and engineering best practices

Qualifications Required

• Bachelors degree in Computer Science Engineering Data Science or related field (or equivalent experience)
• 3 5 years of experience in software engineering DevOps cloud engineering or MLOps
• Strong Python programming skills
• Hands-on experience with AWS (SageMaker Lambda Step Functions S3 IAM)
• Experience deploying ML models to production and building CI/CD pipelines
• Experience with Infrastructure-as-Code (CloudFormation Terraform or CDK)
• Strong troubleshooting skills in cloud or distributed systems
• Experience working with cross-functional teams

Preferred

• Experience with Docker and container orchestration (ECS or EKS)
• Familiarity with ML observability feature stores or model versioning tools
• Knowledge of FinOps or ML cost optimization practices
• AWS certifications (Solutions Architect DevOps or ML Specialty)
• Experience in regulated environments or with sensitive data
• Experience building scalable or shared ML platforms

Equal Employment Opportunity

MatchPoint Solutions is an equal opportunity employer. We are committed to providing equal employment opportunities to all employees and applicants and do not tolerate discrimination or harassment of any kind. Employment decisions are made without regard to race color religion age sex national origin disability genetic information protected veteran status sexual orientation gender identity or expression or any other characteristic protected by applicable federal state or local laws.

This policy applies to all aspects of employment including recruitment hiring placement promotion termination layoffs recall transfers leaves of absence compensation and training.