Senior Machine Learning Engineer

Placements24; Mississippi; Hybrid; USD 150,000 - 210,000; Full time

Benefits offered by this job

Equity potential

Remote-first culture

Home-office setup allowance

Job summary

Placements24 is seeking an experienced Senior Machine Learning Engineer to design, build, and deploy scalable ML systems within a remote-first culture. You will collaborate with data scientists, software engineers, and product managers across time zones to deliver impactful AI solutions.

The role emphasizes owning ML pipelines, model evaluation, and production reliability while contributing to the technical vision of the organization.

Qualifications

• Master's or Ph.D. in Computer Science, Data Science, or a related field, or equivalent practical experience.
• 5+ years of professional experience in machine learning engineering or software development with a focus on ML.
• Strong programming skills in Python and experience with ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Deep understanding of ML algorithms, statistical modeling, and model evaluation techniques.
• Experience with cloud platforms (AWS, Azure, GCP) and MLOps tools and practices.
• Excellent problem-solving abilities and a proactive approach to identifying and resolving challenges in a remote setting.

Responsibilities

• Design, build, train, and deploy sophisticated machine learning models for various applications.
• Develop and maintain robust ML pipelines for data processing, feature engineering, and deployment.
• Optimize ML models for performance, scalability, and efficiency in production environments.
• Collaborate closely with data scientists, software engineers, and product managers to integrate ML solutions.
• Monitor and troubleshoot ML systems in production, ensuring reliability and accuracy.
• Contribute to the technical vision and strategy for machine learning at the company.

Skills

Python

TensorFlow

PyTorch

scikit-learn

ML Pipelines

Cloud platforms

Education

Master's degree in CS/Data Science or related field

Ph.D. in CS/Data Science or related field

Tools

AWS

Azure

GCP

MLflow

Docker

Job description

About the Role

Our client is seeking an experienced and visionary Senior Machine Learning Engineer to join their fully remote team, contributing from anywhere. This role is central to designing, developing, and deploying scalable machine learning systems that will power the next generation of their products. You will work on challenging, impactful projects that leverage data to drive intelligent solutions, collaborating with cross-functional teams across different time zones. As a key member of this innovative company, you will have the opportunity to shape the direction of their AI initiatives and make a significant impact in a remote-first culture that values autonomy, collaboration, and continuous learning.

Key Responsibilities

• Design, build, train, and deploy sophisticated machine learning models for various applications.
• Develop and maintain robust ML pipelines for data processing, feature engineering, and deployment.
• Optimize ML models for performance, scalability, and efficiency in production environments.
• Collaborate closely with data scientists, software engineers, and product managers to integrate ML solutions.
• Monitor and troubleshoot ML systems in production, ensuring reliability and accuracy.
• Contribute to the technical vision and strategy for machine learning at the company.

Requirements

• Master's or Ph.D. in Computer Science, Data Science, or a related field, or equivalent practical experience.
• 5+ years of professional experience in machine learning engineering or software development with a focus on ML.
• Strong programming skills in Python and experience with ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Deep understanding of ML algorithms, statistical modeling, and model evaluation techniques.
• Experience with cloud platforms (AWS, Azure, GCP) and MLOps tools and practices.
• Excellent problem-solving abilities and a proactive approach to identifying and resolving challenges in a remote setting.

Benefits

• Highly competitive salary and potential for equity.
• Comprehensive health, dental, and vision insurance.
• Flexible working hours and a commitment to work-life balance.
• Generous allowance for home office setup and professional development.
• Opportunity to work on challenging problems with a talented, globally distributed team.