Machine Learning Engineer

Placements24; United States; Hybrid; USD 110,000 - 160,000; Full time

Benefits offered by this job

Performance bonuses

Hybrid work

Medical, dental, vision insurance

Professional growth

Access to advanced AI tools

Job summary

Placements24 is seeking a driven Machine Learning Engineer to join their innovative team in George, United States. You will design, develop, and deploy models that solve real‑world business problems, working in a hybrid office/remote setup with diverse datasets and cutting‑edge technologies.

You will collaborate with data scientists, software engineers, and product managers to bring intelligent features to life and help drive AI value across the business.

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
• 2+ years of experience in machine learning engineering or a similar role.
• Proficiency in Python and ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
• Experience with cloud platforms such as AWS, Azure, or GCP and Docker.

Responsibilities

• Develop, train, and deploy machine learning models for various applications (prediction, classification, anomaly detection).
• Implement and maintain scalable ML pipelines and infrastructure with lifecycle management.
• Collaborate with data scientists to translate research models into production-ready code.
• Optimize model performance, conduct A/B testing, and identify areas for improvement.
• Stay updated on ML techniques and tools and evaluate their applicability.

Skills

Python

ML libraries

Cloud platforms

Docker

Data structures & algorithms

Software engineering best practices

Education

Bachelor's or Master's in CS/DS

Tools

AWS

Azure

GCP

Job description

Our client is seeking a driven Machine Learning Engineer to join their innovative team in George . You will play a crucial role in designing, developing, and deploying machine learning models that solve real-world business problems. This position offers a fantastic opportunity to work with diverse datasets and cutting-edge technologies in a hybrid work environment, balancing collaborative in-office sessions with productive remote work. You'll collaborate closely with data scientists, software engineers, and product managers to bring intelligent features to life. Join a company that is committed to leveraging AI to drive significant business value and technological advancement.

Key Responsibilities

• Develop, train, and deploy machine learning models for various applications, including prediction, classification, and anomaly detection.
• Implement and maintain scalable ML pipelines and infrastructure, ensuring efficient data processing and model lifecycle management.
• Collaborate with data scientists to translate research models into production-ready code.
• Optimize model performance, identify areas for improvement, and conduct rigorous A/B testing.
• Stay abreast of the latest advancements in machine learning techniques and tools, evaluating their potential application.

Requirements

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
• 2+ years of experience in machine learning engineering or a similar role.
• Proficiency in Python and relevant ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
• Experience with cloud platforms such as AWS, Azure, or GCP and containerization technologies like Docker.
• Solid understanding of data structures , algorithms, and software engineering best practices.

Benefits

• Competitive salary package with performance bonuses.
• Hybrid work model offering flexibility.
• Comprehensive medical, dental, and vision insurance.
• Opportunities for professional growth and continuous learning.
• Access to advanced tools and technologies in the AI field .