Senior MLOps Engineer

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

Job summary

Wenger & Watson is seeking a machine learning focused professional to design, develop, and deploy ML models, collaborating with cross-functional teams to solve business problems and build scalable data pipelines.

The role emphasizes data quality, troubleshooting ML systems, and implementing automated testing and deployment scripts to improve efficiency. Strong programming skills in Python/Java/C++ are expected, with familiarity in TensorFlow or PyTorch.

Qualifications

• Strong understanding of machine learning concepts, including supervised and unsupervised learning.
• Excellent problem-solving skills and attention to detail.
• Ability to work collaboratively in a team environment.

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.

Skills

Machine learning concepts

Programming fundamentals

Collaboration

Tools

TensorFlow

PyTorch

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.