ML Engineer

Roles & Responsibilities

Job Title: Data Engineer -ML

Job Description:

We are looking for a highly skilled and passionate Data Engineer with strong Python/PySpark experience and

understanding of AL/ML models to implement AL/ML models in OnPrem and Cloud environment.

In this role, you will be responsible for implementing AL/ML Models in different environments leveraging

Openshift/Kubernetics.

Responsibilities

• Work with data scientists/data engineers to translate prototypes and theoretical models into functional,

• production ready code.

• Collaborate with product and engineering team to implement AI/ML models using PySpark.

• Understanding of AI/ML and large language models (LLMs).

• Work on productionalize the AL/ML model in Hadoop environment.

• Troubleshoot AI/ML Models post implementation to resolve issue raised by users.

• Monitor model performance and continuously improve efficiency, accuracy, and user experience.

Qualifications

• Strong experience in PySpark and Python to integrate with AI/ML Models.

• Understanding of AI/ML Models and how they interface with OnPrem and Cloud environments.

• Familiarity with ML Ops/LLM Ops and distributed systems.

• Experience with Big Data platform like Cloudera Hadoop and Could platforms like AWS, GCP.

• Solid understanding of system design patterns, scalability, observability, and performance tuning.

• Strong analytical and problem-solving skills.

• Passion for exploring and building with emerging technologies.

Salary Range: $125,000 to $140,000 per year

Role: Engineer

Desired skills: Machine Learning

Qualifications: BACHELOR OF COMPUTER SCIENCE

• Experience: 7 - 10 Years

• Job function: TECHNOLOGY

• Location: Irving, TX

Salary range: $125,000–$140,000

Apply by: 2026-08-07 00:00:00