We are looking for a highly skilled and experienced ML/Agent Ops Engineer to join our team in Thysse. The ideal candidate will have a strong background in machine learning and operations engineering, with excellent problem-solving skills.

Roles and Responsibility
Design and develop machine learning models to improve operational efficiency.
Collaborate with cross-functional teams to identify business problems and develop solutions.
Develop and implement data-driven processes to enhance operational performance.
Analyze complex data sets to identify trends and patterns.
Develop and maintain technical documentation of machine learning models and processes.
Ensure compliance with industry standards and best practices in machine learning and operations engineering.

Job Requirements
Solid understanding of machine learning algorithms and deep learning techniques.




Experience with data analysis and visualization tools such as Tableau or Power BI.
Excellent programming skills in Python, Java, or C++.
Strong problem-solving skills and attention to detail.
Ability to work collaboratively in a quick-paced setting.
Strong communication and interpersonal skills.

About Company

Thyssenkrupp Materials IT Services India is a leading provider of materials and services, committed to delivering high-quality solutions to its clients.

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.

📌 Ml/agent Ops Engineer Thane
🏢 thyssenkrupp Materials IT Services India
📍 Thane