- 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

- Robust 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.

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 MLOps Engineer (Bengaluru)
🏢 E4 Software Services
📍 Bengaluru