- Expertini Resume Scoring: Our Semantic Matching Algorithm evaluates your CV/Résumé before you apply for this job role: ML Ops Engineer.
Urgent! ML Ops Engineer Job Opening In New Delhi – Now Hiring Wenger & Watson
Experience - 5 - 10 yrs
Locations - Bangalore, Chennai, Mumbai, Pune, Hyderabad
Key Responsibilities
- Design, develop, and deploy machine learning models using AWS SageMaker for various business applications
- Implement end-to-end ML pipelines from data preprocessing to model serving and monitoring
- Build and maintain automated model training, validation, and deployment workflows
- Optimize model performance, scalability, and cost-effectiveness in production environments
- Create interactive ML applications and demos using Gradio for stakeholder demonstrations and user interfaces
- Develop robust Python applications for data processing, feature engineering, and model inference
- Build APIs and microservices for model serving and integration with existing systems
- Implement model versioning, A/B testing frameworks, and continuous integration/deployment practices
- ML infrastructure on AWS, including SageMaker endpoints, batch transform jobs, and processing jobs
- Monitor model performance, data drift, and system health in production environments
- Collaborate with DevOps teams to ensure reliable and scalable ML operations
- Implement security best practices for ML systems and data handling
Technical Skills
- Expert-level proficiency in Python programming with strong software development practices
- Extensive hands-on experience with AWS SageMaker, including training jobs, endpoints, and pipelines
- Proven experience with Gradio for building ML application interfaces
- Strong background in machine learning algorithms, statistical modeling, and deep learning frameworks (PyTorch, TensorFlow, scikit-learn)
- Experience with MLOps practices, model versioning, and deployment strategies
- Deep understanding of AWS ecosystem (EC2, S3, Lambda, IAM, CloudFormation)
- Experience with containerization technologies (Docker, Kubernetes)
- Knowledge of data engineering tools and workflows (Apache Spark, Airflow, or similar)
- Familiarity with infrastructure as code and CI/CD pipelines
- Strong experience with version control systems (Git), code review processes, and agile development
- Excellent problem-solving skills and ability to debug complex distributed systems
- Experience with data visualization tools and techniques
- Strong communication skills for presenting technical concepts to diverse audiences
✨ Smart • Intelligent • Private • Secure
Practice for Any Interview Q&A (AI Enabled)
Predict interview Q&A (AI Supported)
Mock interview trainer (AI Supported)
Ace behavioral interviews (AI Powered)
Record interview questions (Confidential)
Master your interviews
Track your answers (Confidential)
Schedule your applications (Confidential)
Create perfect cover letters (AI Supported)
Analyze your resume (NLP Supported)
ATS compatibility check (AI Supported)
Optimize your applications (AI Supported)
O*NET Supported
O*NET Supported
O*NET Supported
O*NET Supported
O*NET Supported
European Union Recommended
Institution Recommended
Institution Recommended
Researcher Recommended
IT Savvy Recommended
Trades Recommended
O*NET Supported
Artist Recommended
Researchers Recommended
Create your account
Access your account
Create your professional profile
Preview your profile
Your saved opportunities
Reviews you've given
Companies you follow
Discover employers
O*NET Supported
Common questions answered
Help for job seekers
How matching works
Customized job suggestions
Fast application process
Manage alert settings
Understanding alerts
How we match resumes
Professional branding guide
Increase your visibility
Get verified status
Learn about our AI
How ATS ranks you
AI-powered matching
Join thousands of professionals who've advanced their careers with our platform
Unlock Your ML Ops Potential: Insight & Career Growth Guide
Real-time ML Ops Jobs Trends in New Delhi, India (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for ML Ops in New Delhi, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 18907 jobs in India and 660 jobs in New Delhi. This comprehensive analysis highlights market share and opportunities for professionals in ML Ops roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Wenger & Watson is currently hiring and seeking a ML Ops Engineer to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: ML Ops Engineer Jobs New Delhi.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Wenger & Watson adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a ML Ops Engineer Jobs India varies, but the pay scale is rated "Standard" in New Delhi. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for ML Ops Engineer typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
To improve your chances of getting hired for ML Ops Engineer, consider enhancing your skills. Check your CV/Résumé Score with our free Resume Scoring Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.
Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your ML Ops Engineer interview at Wenger & Watson, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Wenger & Watson's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
Setting up job alerts for ML Ops Engineer is easy with India Jobs Expertini. Simply visit our job alerts page here, enter your preferred job title and location, and choose how often you want to receive notifications. You'll get the latest job openings sent directly to your email for FREE!