ML Data Engineer

Tata Consultancy Services; Irving (TX); On-site; USD 125,000 - 140,000; Full time

Job summary

Tata Consultancy Services in Irving, TX is seeking a Data Engineer with ML focus to implement AL/ML models across OnPrem and Cloud, leveraging Openshift/Kubernetes.

Collaborate with data scientists to translate prototypes into production-ready code, apply PySpark and Python, and optimize models for scalability and performance in Hadoop/AWS/GCP environments.

Qualifications

• Strong experience in PySpark and Python to integrate with AI/ML models.
• Understanding of AI/ML models and their interfaces with on-premises and cloud environments.
• Familiarity with MLOps/LLM Ops and distributed systems.
• Experience with big data platforms like Cloudera Hadoop and cloud platforms such as AWS and 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.

Responsibilities

• Translate prototypes and theoretical models into production-ready code.
• Collaborate with product and engineering teams to implement AI/ML models using PySpark.
• Understand AI/ML and large language models (LLMs).
• Productionalize the AL/ML model in Hadoop environment.
• Troubleshoot AI/ML models post-implementation to resolve user-raised issues.
• Monitor model performance and continuously improve efficiency, accuracy, and user experience.

Skills

PySpark

Python

AI/ML models

ML Ops/LLM Ops

Distributed systems

System design

Analytical thinking

Emerging tech

Education

Bachelor's degree in Computer Science

Tools

Cloudera Hadoop

AWS

GCP

Job description

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.

Job Title

Job Title: Data Engineer -ML

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

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

Education

BACHELOR OF COMPUTER SCIENCE