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Machine Learning Operations Engineer Job Opening In Hyderabad – Now Hiring ValueMomentum


Job description

Job Responsibilities:


  • Evaluate and source appropriate cloud infrastructure solutions for machine learning needs, ensuring cost-effectiveness and scalability based on project requirements.
  • Automate and manage the deployment of machine learning models into production environments, ensuring version control for models and datasets using tools like Docker and Kubernetes.
  • Set up monitoring tools to track model performance and data drift, conduct regular maintenance, and implement updates for production models.
  • Work closely with data scientists, software engineers, and stakeholders to align on project goals, facilitate knowledge sharing, and communicate findings and updates to cross-functional teams.
  • Design, implement, and maintain scalable ML infrastructure, optimizing cloud and on-premise resources for training and inference.
  • Document ML processes, pipelines, and best practices while preparing reports on model performance, resource utilization, and system issues.
  • Provide training and support for team members on ML Ops tools and methodologies, and stay updated on industry trends and emerging technologies.
  • Diagnose and resolve issues related to model performance, infrastructure, and data quality, implementing solutions to enhance model robustness and reliability.


Education, Technical Skills & Other Critical Requirement:


  • 6+ years of relevant experience in AI/ analytics product & solution delivery
  • Bachelor’s/master’s degree in an information technology/computer science/ Engineering or equivalent fields experience.
  • Proficiency in frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • Strong skills in Python and/or R;
    familiarity with Java, Scala, or Go is a plus.
  • Experience with cloud services such as AWS, Azure, or Google Cloud Platform, particularly in ML services (e.G., AWS SageMaker, Azure ML).
  • CI/CD tools (e.G., Jenkins, GitLab CI), containerization (e.G., Docker), and orchestration (e.G., Kubernetes).
  • Experience with databases (SQL and NoSQL), data pipelines, ETL processes, ML pipeline orchestration (Airflow)
  • Familiarity with monitoring and logging tools such as Prometheus, Grafana, or ELK stack.
  • Proficient in using Git for version control.
  • Strong analytical and troubleshooting abilities to diagnose and resolve issues effectively.
  • Good communication skills for working with cross-functional teams and conveying technical concepts to non-technical stakeholders.
  • Ability to manage multiple projects and prioritize tasks in a fast-paced environment.

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your Machine Learning Potential: Insight & Career Growth Guide


Real-time Machine Learning 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 Machine Learning in Hyderabad, India, highlighting market share and opportunities for professionals in Machine Learning roles.

19853 Jobs in India
19853
651 Jobs in Hyderabad
651
Download Machine Learning Jobs Trends in Hyderabad and India

Are You Looking for Machine Learning Operations Engineer Job?

Great news! is currently hiring and seeking a Machine Learning Operations 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 ValueMomentum 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 Machine Learning Operations Engineer Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Hyderabad. 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 Machine Learning Operations Engineer?

Key qualifications for Machine Learning Operations 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 Machine Learning Operations Engineer?

To improve your chances of getting hired for Machine Learning Operations 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 Machine Learning Operations Engineer Job Success

ValueMomentum interview tips for Machine Learning Operations Engineer

Here are some tips to help you prepare for and ace your Machine Learning Operations Engineer job interview:

Before the Interview:

Research: Learn about the ValueMomentum'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 Machine Learning Operations Engineer interview at ValueMomentum, 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 ValueMomentum'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!

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