Dallas ML Engineer - AI & Analytics, Flexible Hours

GetJobSmart; Dallas (TX); On-site; USD 110,000 - 170,000; Full time

Benefits offered by this job

Health insurance

Retirement plan

Training & workshops

Flexible work arrangements

Wellness programs

Job summary

Vertex Ridge Solutions in Dallas, TX, is seeking a Machine Learning Engineer to design and implement machine learning models, collaborate with cross-functional teams, and develop scalable ML pipelines. The role offers a negotiable salary and a strong emphasis on innovation.

You will work in a collaborative Dallas office, contributing to cutting-edge AI projects and professional growth opportunities while leveraging TensorFlow, PyTorch, and Python across diverse datasets.

Qualifications

• Master's degree in Computer Science, Electrical Engineering, or related field.
• 3+ years of experience in machine learning and data science.
• Proficiency in Python and ML libraries such as TensorFlow, PyTorch, or Scikit-learn.
• Experience with cloud platforms like AWS or Google Cloud.
• Knowledge of SQL and databases.
• Excellent problem-solving and teamwork skills.

Responsibilities

• Design and implement machine learning models to solve real-world problems.
• Collaborate with cross-functional teams to translate business requirements into technical solutions.
• Develop and maintain scalable ML pipelines and infrastructure.
• Conduct extensive data analysis and experimentation to improve model performance.
• Stay up-to-date with ML/AI advancements and technologies.
• Document and communicate findings and solutions effectively.

Skills

Python

TensorFlow

PyTorch

Scikit-learn

SQL

Cloud platforms (AWS/Google Cloud)

Education

Master's degree in Computer Science or Electrical Engineering

Bachelor's degree in Computer Science, Engineering, Mathematics or related field

Tools

TensorFlow

PyTorch

Scikit-learn

AWS

Google Cloud

Job description

Vertex Ridge Solutions in Dallas, TX, is seeking a Machine Learning Engineer to design and implement machine learning models, collaborate with cross-functional teams, and develop scalable ML pipelines. The role offers a negotiable salary and a strong emphasis on innovation.

You will work in a collaborative Dallas office, contributing to cutting-edge AI projects and professional growth opportunities while leveraging TensorFlow, PyTorch, and Python across diverse datasets.