• Expertini Resume Scoring: Our Semantic Matching Algorithm evaluates your CV/Résumé before you apply for this job role.
India Jobs Expertini

ML Ops Engineer Job Opening In India, India – Now Hiring Wenger & Watson


Job description

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

Required Skill Profession

Computer Occupations


  • Job Details

Related Jobs

Tiger Analytics hiring ML Engineer (ML Ops) Job in Hyderabad, Telangana, India
Tiger Analytics
Hyderabad, Telangana, India
Tiger Analytics hiring Ml engineer/ml ops Job in India
Tiger Analytics
India
GTT Data Solutions Ltd hiring ML Ops Engineer Job in Bengaluru, Karnataka, India
GTT Data Solutions Ltd
Bengaluru, Karnataka, India
Wenger & Watson hiring ML Ops Engineer Job in Bengaluru, Karnataka, India
Wenger & Watson
Bengaluru, Karnataka, India
Wenger & Watson hiring ML Ops Engineer Job in Bengaluru, Karnataka, India
Wenger & Watson
Bengaluru, Karnataka, India
Wenger & Watson hiring ML Ops Engineer Job in New Delhi, Delhi, India
Wenger & Watson
New Delhi, Delhi, India
GTT Data Solutions Ltd hiring Ml Ops Engineer Job in Bengaluru, Karnataka, India
GTT Data Solutions Ltd
Bengaluru, Karnataka, India
Aurigo Software Technologies hiring ML Ops Engineer Job in Bengaluru, Karnataka, India
Aurigo Software Technologies
Bengaluru, Karnataka, India
GTT Data Solutions Ltd hiring ML Ops Engineer Job in Bengaluru, Karnataka, India
GTT Data Solutions Ltd
Bengaluru, Karnataka, India
Wenger & Watson hiring ML Ops Engineer Job in Bengaluru, Karnataka, India
Wenger & Watson
Bengaluru, Karnataka, India
Aurigo Software Technologies hiring Ml Ops Engineer Job in Bengaluru, Karnataka, India
Aurigo Software Technologies
Bengaluru, Karnataka, India
Aurigo Software Technologies hiring ML Ops Engineer Job in Bengaluru, Karnataka, India
Aurigo Software Technologies
Bengaluru, Karnataka, India
Wenger & Watson hiring ML Ops Engineer Job in Bengaluru, Karnataka, India
Wenger & Watson
Bengaluru, Karnataka, India
GTT Data Solutions Ltd hiring ML Ops Engineer Job in Bengaluru, Karnataka, India
GTT Data Solutions Ltd
Bengaluru, Karnataka, India
Saarthee hiring ML Ops Engineer Job in Bengaluru, Karnataka, India
Saarthee
Bengaluru, Karnataka, India
Evolent Health hiring ML Ops Engineer Job in Pune, Maharashtra, India
Evolent Health
Pune, Maharashtra, India
GTT Data Solutions Ltd hiring ML Ops Engineer Job in New Delhi, Delhi, India
GTT Data Solutions Ltd
New Delhi, Delhi, India
Confidential hiring ML Ops Engineer Job in Bengaluru, Karnataka, India
Confidential
Bengaluru, Karnataka, India
Aurigo Software Technologies hiring ML Ops Engineer Job in India
Aurigo Software Technologies
India
Evolent hiring ML Ops Engineer Job in Pune, , India
Evolent
Pune, , India
Evolent hiring ML Ops Engineer Job in Pune, , India
Evolent
Pune, , India
GTT Data Solutions Ltd hiring ML Ops Engineer Job in Bengaluru, Karnataka, India
GTT Data Solutions Ltd
Bengaluru, Karnataka, India
GTT Data Solutions Ltd hiring ML Ops Engineer Job in India
GTT Data Solutions Ltd
India
Aurigo Software Technologies hiring ML Ops Engineer Job in New Delhi, Delhi, India
Aurigo Software Technologies
New Delhi, Delhi, India
Aurigo Software Technologies hiring ML Ops Engineer Job in Bengaluru, Karnataka, India
Aurigo Software Technologies
Bengaluru, Karnataka, India
GTT Data Solutions Ltd hiring ML Ops Engineer Job in Bengaluru, Karnataka, India
GTT Data Solutions Ltd
Bengaluru, Karnataka, India
Wenger & Watson hiring ML Ops Engineer Job in Bengaluru, Karnataka, India
Wenger & Watson
Bengaluru, Karnataka, India
Aurigo Software Technologies hiring ML Ops Engineer Job in Bengaluru, Karnataka, India
Aurigo Software Technologies
Bengaluru, Karnataka, India
Wenger & Watson hiring ML Ops Engineer Job in Bengaluru, Karnataka, India
Wenger & Watson
Bengaluru, Karnataka, India
GTT Data Solutions Ltd hiring ML Ops Engineer Job in Bengaluru, Karnataka, India
GTT Data Solutions Ltd
Bengaluru, Karnataka, India
Aurigo Software Technologies hiring ML Ops Engineer Job in Bengaluru, Karnataka, India
Aurigo Software Technologies
Bengaluru, Karnataka, India
Aurigo Software Technologies hiring ML Ops Engineer Job in Bengaluru, Karnataka, India
Aurigo Software Technologies
Bengaluru, Karnataka, India

Unlock Your ML Ops Potential: Insight & Career Growth Guide


Real-time ML Ops Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for ML Ops in India, India, highlighting market share and opportunities for professionals in ML Ops roles.

17042 Jobs in India
17042
1211 Jobs in India
1211
Download Ml Ops Jobs Trends in India and India

Are You Looking for ML Ops Engineer Job?

Great news! 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: .

The Work Culture

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:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying India laws and regulations

What Is the Average Salary Range for ML Ops Engineer Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in India. 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.

What Are the Key Qualifications for ML Ops Engineer?

Key qualifications for ML Ops Engineer typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

How Can I Improve My Chances of Getting Hired for ML Ops Engineer?

To improve your chances of getting hired for ML Ops Engineer, consider enhancing your skills. Check your CV/Résumé Score with our free 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.

Interview Tips for ML Ops Engineer Job Success

Wenger & Watson interview tips for ML Ops Engineer

Here are some tips to help you prepare for and ace your ML Ops Engineer job interview:

Before the Interview:

Research: Learn about the Wenger & Watson's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

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!

How to Set Up Job Alerts for ML Ops Engineer Positions

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!