Lead Machine Learning Engineer

Placements24; United States; Remote; USD 180,000 - 250,000; Full time

Benefits offered by this job

Generous salary and stock options

Comprehensive remote benefits package

Flexible working hours

Annual budget for professional dev

Job summary

Placements24 is seeking a visionary Lead Machine Learning Engineer to spearhead AI initiatives in a fully remote capacity. You will architect and deploy scalable ML solutions, driving business innovation and actionable insights.

You will lead engineers and data scientists, foster best practices, and shape the technical direction of our AI platforms. This remote-first role offers a flexible, collaborative environment with cutting-edge technology and a global reach, enabling significant impact

Qualifications

• Master's or Ph.D. in Computer Science, Engineering, or a related quantitative field.

Responsibilities

• Lead design, development, and deployment of production-grade ML models and pipelines.
• Architect robust and scalable ML infrastructure for performance and reliability.
• Mentor and guide a team of ML engineers and data scientists, fostering technical excellence.
• Collaborate with product management to define ML strategies and roadmaps.
• Implement MLOps best practices for monitoring, deployment, and lifecycle management.
• Drive innovation by applying new ML techniques and technologies.

Skills

Python

Leadership

Cloud platforms

ML libraries

Education

Master's or Ph.D. in a related field

Tools

Scikit-learn

TensorFlow

PyTorch

Docker

Kubernetes

Job description

About the Role

Our client is seeking a visionary Lead Machine Learning Engineer to spearhead their AI initiatives in a fully remote capacity, serving the George region and beyond. This pivotal role involves architecting and deploying scalable machine learning solutions that drive business innovation and provide actionable insights. You will lead a talented team of engineers and data scientists, foster best practices, and guide the technical direction of our AI platforms. This is an exceptional opportunity for a seasoned professional to make a significant impact on a global scale, working within a flexible, remote-first culture that emphasizes collaboration and cutting-edge technology.

Key Responsibilities

• Lead the design, development, and deployment of production-grade machine learning models and pipelines.
• Architect robust and scalable ML infrastructure, ensuring performance and reliability.
• Mentor and guide a team of machine learning engineers and data scientists, fostering technical excellence.
• Collaborate with product management and stakeholders to define ML strategies and roadmaps.
• Implement MLOps best practices for model monitoring, deployment, and lifecycle management.
• Drive innovation by exploring and applying new ML techniques and technologies.

Requirements

• Master's or Ph.D. in Computer Science, Engineering, or a related quantitative field.
• Extensive experience (5+ years) in machine learning engineering and MLOps.
• Proficiency in Python and ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
• Demonstrated experience in leading technical projects and mentoring teams.
• Strong understanding of cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
• Excellent communication and interpersonal skills, adapted for a remote work environment .

Benefits

• Generous salary and stock options.
• Comprehensive remote work benefits package including health, dental, and vision insurance.
• Flexible working hours and unlimited paid time off.
• Annual budget for professional development and learning resources.
• Opportunity to work on challenging and impactful AI projects globally.
• A supportive and inclusive virtual team culture.