MLOps Engineer: Cloud AI Pipelines & Deployments

Mindlance; Plano (TX); Hybrid; USD 100,000 - 130,000; Full time

Job summary

A leading technology firm seeks a skilled Machine Learning Engineer to develop and optimize AI models using TensorFlow and PyTorch. You will build AI pipelines, analyze datasets, and collaborate with teams to deliver impactful solutions. A solid programming background in Python, R, or Java is essential, along with experience in AI deployment on cloud platforms. The role emphasizes problem-solving skills and understanding of CICD environments, particularly AWS.

Qualifications

• Strong programming skills in Python, R, or Java.
• Hands-on experience with machine learning algorithms and frameworks.
• Familiarity with major cloud platforms for AI deployment.
• Strong analytical and problem-solving skills.
• Solid foundation in mathematics and statistics.

Responsibilities

• Develop and optimize machine learning and deep learning models using TensorFlow or PyTorch.
• Build and maintain AI pipelines, from data processing to model deployment.
• Analyze complex datasets to uncover insights and improve model performance.
• Collaborate with technical and business teams to identify AI opportunities and deliver impactful solutions.

Skills

Python

R

Java

MLOps tools

Spark

Hadoop

Databricks

NLP

computer vision

Job description

A leading technology firm seeks a skilled Machine Learning Engineer to develop and optimize AI models using TensorFlow and PyTorch. You will build AI pipelines, analyze datasets, and collaborate with teams to deliver impactful solutions. A solid programming background in Python, R, or Java is essential, along with experience in AI deployment on cloud platforms. The role emphasizes problem-solving skills and understanding of CICD environments, particularly AWS.