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DevOps & ML Ops Engineer Job Opening In India, India – Now Hiring TransPerfect


Job description

Salary: Competitive / Paid in Indian Rupee .

INR / Annual

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What You Should Know About This Job


DevOps & ML Ops Engineer would be responsible for developing and maintaining scalable, stable services that deliver machine learning models to end users with guaranteed uptime.

The primary focus will be on the infrastructure, deployment, and continuous integration/continuous delivery (CI/CD) processes for our ML services.


RESPONSIBILITIES:

  • Manage resource allocation and workload scheduling for multiple ML services, ensuring efficient utilization of CPU/GPU resources and creating reliable queues based on service priorities.
  • Maintain VM environments and manage OS updates, keep up-to-date VM inventory
  • Work alongside the Dev and QA team to detect hot spots in our applications and set preventative measure before it becomes a live issue.
  • Troubleshooting and provide solutions for system configurations
  • Plan, execute and test disaster recovery
  • Monitor and examine all application, performance, event, and system logs to assist in troubleshooting
  • Responsible for filing all IT/Colocation tickets ensuring fulfilment of requests, escalating to the right person if necessary.
  • Design, develop, and maintain the infrastructure required for deploying and scaling machine learning services.
  • Implement and manage the CI/CD pipelines to ensure seamless and efficient deployment of ML models.
  • Collaborate with data scientists, ML researchers, and language experts to understand the requirements for deploying ML models and provide necessary infrastructure support.
  • Automate and streamline the build, test, and deployment processes to enhance efficiency and reduce time-to-market.
  • Monitor and optimize the performance, availability, and scalability of production ML systems.
  • Develop and maintain robust monitoring, logging, and alerting systems to proactively identify and address issues.
  • Implement security best practices to protect sensitive data and ensure compliance with relevant regulations.
  • Stay up-to-date with industry trends and emerging technologies related to ML Ops and DevOps, and propose innovative solutions to improve our ML service delivery.



REQUIRED SKILLS, EXPERIENCE AND QUALIFICATIONS:

  • Strong knowledge of cloud platforms (such as AWS, Azure, or GCP) and local cluster deployments, and experience in deploying and managing ML services on these platforms.
  • Knowledge of distributed computing frameworks (e.g., Spark) and big data technologies (e.g., Hadoop, Kafka).
  • Proficiency in Python, Shell, Ruby, Golang, or C++ and experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation).
  • Hands-on experience with containerization technologies (e.g., Docker) and orchestration frameworks (e.g. Kubernetes).
  • Familiarity with CI/CD tools (e.g., Jenkins, GitLab CI/CD) and version control systems (e.g., Git).
  • Solid understanding of networking, security, and system administration concepts.
  • Strong problem-solving and troubleshooting skills, with the ability to quickly analyze and resolve issues in complex ML systems.
  • Excellent communication and collaboration skills, with the ability to work effectively in a team-oriented environment.
  • Bachelor's or higher degree in Computer Science, Engineering, or a related field.
  • Proven experience as an ML Ops Engineer, DevOps Engineer, or a similar role, with a focus on deploying and maintaining machine learning models in production environments.



DESIRED SKILLS AND EXPERIENCE:

  • Experience with machine learning frameworks and libraries, such as TensorFlow, PyTorch, or scikit-learn.
  • Familiarity with serverless computing and event-driven architectures.
  • Experience with logging and monitoring tools (e.g., ELK Stack, Prometheus, Grafana).
  • Understanding of software development methodologies and agile practices



By applying, I confirm I have read and accept TransPerfect's Privacy Policy:

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your DevOps ML Potential: Insight & Career Growth Guide


Real-time DevOps ML 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 DevOps ML in India, India, highlighting market share and opportunities for professionals in DevOps ML roles.

60371 Jobs in India
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3492 Jobs in India
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Download Devops Ml Jobs Trends in India and India

Are You Looking for DevOps & ML Ops Engineer Job?

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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 TransPerfect 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 DevOps & 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 DevOps & ML Ops Engineer?

Key qualifications for DevOps & 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 DevOps & ML Ops Engineer?

To improve your chances of getting hired for DevOps & 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 DevOps & ML Ops Engineer Job Success

TransPerfect interview tips for DevOps & ML Ops Engineer

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

Before the Interview:

Research: Learn about the TransPerfect'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 DevOps & ML Ops Engineer interview at TransPerfect, 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 TransPerfect'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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