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AI/ML Engineer - Data Modeling Job Opening In Delhi Division – Now Hiring MantraCare


Job description

<p>Key Responsibilities :</p><p><br/></p><p>- Design, train, and fine-tune machine learning and deep learning models, with a focus on LLMs for conversational and generative tasks.</p><p><br/></p><p>- Perform feature engineering, data preprocessing, and model evaluation to ensure high accuracy, robustness, and scalability.</p><p><br/></p><p>- Optimize models for real-world performance and production deployment.</p><p><br/></p><p>- Work with structured and unstructured datasets, ensuring quality through cleaning, transformation, and augmentation.</p><p><br/></p><p>- Build pipelines for efficient data collection, preparation, and experimentation.</p><p><br/></p><p>- Implement and scale ML solutions on cloud platforms such as AWS, GCP, or Azure.</p><p><br/></p><p>- Collaborate with software engineers to integrate AI models into production-ready applications.</p><p><br/></p><p>- Develop APIs and services for model consumption by downstream systems and applications.</p><p><br/></p><p>- Stay updated with the latest advancements in NLP, LLMs, and deep learning frameworks.</p><p><br/></p><p>- Explore and implement Retrieval-Augmented Generation (RAG) and AI Agent methodologies to enhance system intelligence.</p><p><br/></p><p>- Experiment with emerging AI tools and frameworks for applied business use cases.</p><p>Partner with product managers, data scientists, and business stakeholders to translate </p><p>requirements into technical solutions.</p><p><br/></p><p>- Present findings, insights, and recommendations clearly to both technical and non-technical teams.</p><p><br/></p><p>- Foster a culture of innovation and continuous improvement in AI-driven development.</p><p><br/></p><p>Required Qualifications :</p><p><br/></p><p>- Bachelor of Technology (B.Tech) or equivalent in Computer Science, Data Science, AI/ML, or related field.</p><p><br/></p><p>- Strong understanding of Large Language Models (LLMs) and their applications in text and conversational AI.</p><p><br/></p><p>- Proficiency in Python, including libraries such as pandas, NumPy, and scikit-learn.</p><p><br/></p><p>- Demonstrated ability to build, train, and optimize ML models for production deployment.</p><p><br/></p><p>- Solid foundation in data cleaning, feature engineering, and model evaluation techniques.</p><p><br/></p><p>- Excellent analytical thinking, problem-solving, and communication skills for cross-functional </p><p>collaboration</p> (ref:hirist.tech)

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your AI ML Potential: Insight & Career Growth Guide


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

117245 Jobs in India
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Are You Looking for AI/ML Engineer Data Modeling 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 MantraCare 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 AI/ML Engineer Data Modeling Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Delhi Division. 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 AI/ML Engineer Data Modeling?

Key qualifications for AI/ML Engineer Data Modeling 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 AI/ML Engineer Data Modeling, 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 AI/ML Engineer Data Modeling Job Success

MantraCare interview tips for AI/ML Engineer   Data Modeling

Here are some tips to help you prepare for and ace your AI/ML Engineer Data Modeling job interview:

Before the Interview:

Research: Learn about the MantraCare'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 AI/ML Engineer Data Modeling interview at MantraCare, 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 MantraCare'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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