Senior MLOps Engineer

Wenger & Watson; Ahmedabad District; On-site; INR 900,000 - 1,500,000; Full time

Job summary

Wenger & Watson is seeking a skilled ML Engineer to design, develop, and deploy machine learning models using a range of algorithms. You will work with product and data teams to identify business problems and craft effective solutions.

Responsibilities include building and maintaining large-scale data pipelines and architectures, ensuring data quality through validation and testing, and troubleshooting complex ML systems.

Qualifications

• Strong understanding of supervised and unsupervised learning.
• Experience with deep learning frameworks (TensorFlow or PyTorch).
• Proficiency in Python, Java, or C++.
• Excellent problem-solving skills and attention to detail.
• Ability to work collaboratively in a team.
• Strong communication and interpersonal skills.

Responsibilities

• Design, develop, and deploy ML models using various algorithms.
• Collaborate with cross-functional teams to identify business problems and develop solutions.
• Develop and maintain large-scale data pipelines and architectures.
• Ensure high-quality data processing and analysis through data validation and quality control processes.
• Troubleshoot and resolve complex technical issues related to machine learning systems.
• Implement automated testing and deployment scripts to improve efficiency.

Skills

ML concepts

Problem solving

Team collaboration

Communication skills

Tools

TensorFlow

PyTorch

Python

Java

C++

Job description

Responsibilities

• Design, develop, and deploy machine learning models using various algorithms and techniques.
• Collaborate with cross-functional teams to identify business problems and develop solutions.
• Develop and maintain large-scale data pipelines and architectures.
• Ensure high-quality data processing and analysis through data validation and quality control processes.
• Troubleshoot and resolve complex technical issues related to machine learning systems.
• Implement automated testing and deployment scripts to improve efficiency.

Qualifications

• 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 team environment.
• Strong communication and interpersonal skills.