Machine Learning Engineer

VeeRteq Solutions LLC; Washington (District of Columbia); Remote; USD 100,000 - 130,000; Full time

Job summary

A leading technology solutions company is seeking a Machine Learning Engineer to work on groundbreaking healthcare applications. You will collaborate with stakeholders to automate processes and build predictive models using various programming languages and ML frameworks. The ideal candidate has at least 5 years of experience in machine learning, a Master's Degree, and strong skills in Python and data analysis, along with a passion for innovation. This is a remote role offering flexibility and an opportunity to make a significant impact.

Qualifications

• 5+ years of experience as a Machine Learning Engineer or in a similar role.
• Strong understanding of data structures and software architecture.
• Hands-on experience with machine learning frameworks like TensorFlow and PyTorch.

Responsibilities

• Design, develop, and optimize machine learning models.
• Deploy ML models using CI/CD pipelines and containerization.
• Deliver analytics solutions that enable data-driven decision-making.

Skills

Machine Learning

Python

Data Analysis

Cloud Platforms

Statistics

Education

Master's Degree

Tools

TensorFlow

Docker

Tableau

Job description

Experience: 5+ Years Location: Remote

As a Machine Learning Engineer, you will work as part of an Agile team to build cutting-edge healthcare applications and implement new features while following industry best practices and coding standards.

What's in it for you?

Responsibilities

• Partner with business stakeholders to identify opportunities for automating business processes using Machine Learning and AI.
• Collaborate with project managers, DevOps, and engineering teams to coordinate model development, deployment, and monitoring.
• Design, develop, and optimize machine learning models and algorithms for various business use cases.
• Analyze complex datasets to extract actionable insights and build predictive models.
• Write clean, efficient, and scalable code using Python, Spark, Scala, R, and Java.
• Deploy ML models into production using CI/CD pipelines and containerization tools.
• Continuously monitor and maintain model performance, implementing retraining as necessary.
• Deliver analytics solutions and insights to clients, enabling data-driven decision-making.
• Build dashboards and visualizations using Tableau to effectively communicate insights.
• Leverage cloud ML platforms (AWS SageMaker, Azure ML, or Google Cloud AI) for scalable model development.
• Follow best practices in version control, testing, and documentation using Git and shell scripting.
• Ensure adherence to robust software architecture and data modeling standards.

Required Skills

• Proven experience as a Machine Learning Engineer or in a similar role.
• Strong understanding of data structures, data modeling, and software architecture.
• Deep knowledge of mathematics, probability, statistics, and machine learning algorithms.
• Proficiency in programming languages: Python, Spark, Scala, R, Java.
• Hands-on experience with ML frameworks: TensorFlow, PyTorch, Keras, scikit-learn.
• Familiarity with Docker, shell scripting, and Git.
• Experience deploying ML models in production environments.
• Experience with cloud ML platforms (AWS, Azure, or Google Cloud).
• Excellent communication and collaboration skills.
• Strong analytical and problem-solving abilities.

Preferred Skills

• Experience with MLOps tools and practices.
• Exposure to real-time data processing and streaming technologies.
• Experience with data visualization tools like Tableau.
• Direct experience working with clients to deliver analytics solutions.

Educational Qualifications

• Master's Degree
• Technical certifications in multiple technologies are desirable.