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Full-Stack Machine Learning Engineer Job Opening In Greater Kailash – Now Hiring Miran World


Job description

Company- Miran World

Location- New Delhi (Hybrid)

Experience-2 to 4 Years

Job Type- Full-Time


Job Description

Miran World is actively seeking a highly skilled and passionate full stack Machine Learning Engineer with 2 to 5 years of experience to join our dynamic team.

The ideal candidate will have the combination of expertise in applied machine learning, MLOps, and scalable software engineering.

The successful candidate will transition ML prototypes into robust, production-ready systems, building both the backend infrastructure and the user-facing application to deliver AI-driven features.


Key Responsibilities:

1.

Own the entire Machine Learning (ML) product lifecycle from concept to production.

2.

Ensure scalable, high-performance integration of ML models into core applications.

3.

Drive MLOps best practices for continuous deployment and monitoring.

4.

Collaborate cross-functionally to translate business goals into technical AI solutions.

5.

Maintain high standards for code quality, security, and system reliability.


What You'll Do:

·      Develop and train production-grade ML and Deep Learning models.

·      Build automated CI/CD pipelines using Docker and Kubernetes.

·      Design and implement RESTful/GraphQL APIs to serve model inferences.

·      Create responsive frontend interfaces (React.js) for AI-driven features.

·      Optimize model performance and deploy services on cloud platforms (AWS/GCP/Azure).

·      Build and maintain high-throughput data and feature engineering pipelines.

·      Conduct rigorous testing and performance tuning across the full stack.

·      Stay current with advancements in GenAI and LLMs to propose new solutions.


Required Qualifications:

·     B.Tech/M.Tech in Computer Science, Engineering, or a related quantitative discipline.

·   Experience: Minimum 2 years of professional experience in a related role, with proven experience.

·      Programming : Expert proficiency in Python and professional experience with JavaScript/TypeScript.

·      ML Frameworks: Demonstrated expertise in deploying models using frameworks such as PyTorch, TensorFlow, Keras, or Scikit-learn.

·      Web Stack: Strong command of a modern frontend framework and a server-side framework.

·      Data & Cloud: Experience with SQL/NoSQL databases, cloud computing platforms and Docker/Kubernetes.


What We Offer:

Miran World is committed to the growth and well-being of our team members in the dynamic Delhi tech environment.

  • Competitive Salary
  • Flexible Working
  • Professional Development
  • Innovative Environment
  • Full-Stack Machine Learning Engineer

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your Full Stack Potential: Insight & Career Growth Guide


Real-time Full Stack 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 Full Stack in Greater Kailash, India, highlighting market share and opportunities for professionals in Full Stack roles.

122406 Jobs in India
122406
68 Jobs in Greater Kailash
68
Download Full Stack Jobs Trends in Greater Kailash and India

Are You Looking for Full Stack Machine Learning Engineer Job?

Great news! is currently hiring and seeking a Full Stack Machine Learning 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 Miran World 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 Full Stack Machine Learning Engineer Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Greater Kailash. 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 Full Stack Machine Learning Engineer?

Key qualifications for Full Stack Machine Learning 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 Full Stack Machine Learning Engineer?

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

Miran World interview tips for Full Stack Machine Learning Engineer

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

Before the Interview:

Research: Learn about the Miran World'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 Full Stack Machine Learning Engineer interview at Miran World, 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 Miran World'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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