MLOps Engineer

E4 Software Services; Bengaluru; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

E4 Software Services in Bengaluru, India, is seeking a Machine Learning Engineer to design and deploy scalable data pipelines for ML model deployment. You will work with cross-functional teams to identify and prioritize project requirements and help develop large-scale ML models using diverse algorithms and techniques.

Join a fast-paced environment where you will ensure seamless integration of ML models into existing systems, troubleshoot complex issues, and implement automated testing and

Qualifications

• Strong understanding of ML concepts incl. supervised/unsupervised learning.
• Experience with TensorFlow or PyTorch.
• Proficiency in Python, Java, or C++.
• Excellent problem-solving and attention to detail.
• Ability to work with multiple stakeholders.

Responsibilities

• Design and develop scalable data pipelines for ML model deployment.
• Collaborate with cross-functional teams to identify requirements.
• Develop and maintain large-scale ML models using various algorithms.
• Ensure seamless integration of ML models into systems.
• Troubleshoot complex ML and operations issues.
• Implement automated testing and validation frameworks.

Skills

ML concepts

Deep learning frameworks

Python

Java

C++

Problem solving

Collaboration

Communication

Tools

TensorFlow

PyTorch

Keras

Job description

• Design and develop scalable data pipelines for machine learning model deployment.
• Collaborate with cross‑functional teams to identify and prioritize project requirements.
• Develop and maintain large‑scale machine learning models using various algorithms and techniques.
• Ensure seamless integration of machine learning models into existing systems and infrastructure.
• Troubleshoot and resolve complex technical issues related to machine learning and operations.
• Implement automated testing and validation frameworks to ensure high‑quality deliverables.

Job Requirements

• Strong understanding of machine learning concepts, including supervised and unsupervised learning.
• Experience with deep learning frameworks such as TensorFlow or PyTorch.
• Proficiency in programming languages such as Python, Java, or C++.
• Excellent problem‑solving skills and attention to detail.
• Ability to work collaboratively in a fast‑paced environment with multiple stakeholders.
• Strong communication and interpersonal skills, with the ability to explain complex technical concepts to non‑technical stakeholders.