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Machine Learning Operations Engineer Job Opening In India, India – Now Hiring L&T Technology Services


Job description

Only immediate to 15 days joiner

Experience – 8 to 10 yrs


Key Responsibilities:

  • Develop and Deploy AI Solutions: Design, build, and deploy end-to-end Machine Learning and Generative AI pipelines on Google Cloud Platform, using Vertex AI services such as Vertex Pipelines, Model Registry, and Endpoints.
  • Implement Generative AI Applications: Focus on implementing and optimizing solutions using Open source Large Language Models (LLMs) for tasks like code generation, text summarization, content creation, and intelligent agent development.
  • MLOps and Productization: Automate collection and visualization of data, model, and operational metrics.

    Implement and manage MLOps pipelines to automate model deployment, monitoring, and maintenance.

    Deploy models in scalable production environments using GCP.
  • Leverage Google Cloud Services: Work extensively with GCP services beyond Vertex AI, including BigQuery for data warehousing, Cloud Storage for data management, and Cloud Functions for serverless compute.
  • Build Retrieval-Augmented Generation (RAG) Systems: Design and implement RAG-based systems by integrating LLMs with external APIs, vector databases and private knowledge sources to enhance model grounding and accuracy.
  • Model Optimization and Performance Tuning: Optimize model serving performance, cost, and throughput for both real-time and batch predictions.
  • Cross-Functional Collaboration: Partner with Data Scientists, Data Engineers, and product teams to translate business requirements into scalable, production-ready AI solutions.
  • Stay Ahead of the Curve: Continuously research and experiment with the latest advancements in AI, ML, and Generative AI, applying new techniques to solve complex business problems.
  • Proficiency in Python and one other languages Java, Go, C/C++, R, SQL
  • 5+ years of hands-on experience in AI/ML engineering, building and deploying machine learning models in production environments.
  • Tools: Linux, git, Jupyter, IDE, ML frameworks: Tensorflow, Pytorch, Keras, Scikit-learn, Kubeflow, MLflow

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 India, India, highlighting market share and opportunities for professionals in Machine Learning roles.

19853 Jobs in India
19853
1499 Jobs in India
1499
Download Machine Learning Jobs Trends in India 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 L&T Technology Services 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 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 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.

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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

L&T Technology Services 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 L&T Technology Services'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 L&T Technology Services, 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 L&T Technology Services'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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