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AI/ML Deployment Engineer Job Opening In Bengaluru – Now Hiring IndiHire Consultants


Job description

<p><p><b>AI/ML Deployment Engineer</b><br/><br/><b>Location :</b> PAN India (Hybrid options)<br/><br/><b>Joiners :</b> Immediate to 30 Days<br/><br/><b>Experience :</b> 6- 14 Years<br/><br/><b>Contract-to-Hire | 1+ Years (Extendable)</b><br/><br/>Do you have the expertise to take <b>GenAI & ML models</b> from experiment secure, production-ready deployment<br/><br/>This role is all about <b>embedding AI features</b> like :<br/><br/>- Smart Assistants<br/><br/>- RAG Search<br/><br/>- Summarisation<br/><br/>- Decision Support into real-world applications!<br/><br/><b>Key Responsibilities :</b><br/><br/>- Build & operate <b>end-to-end MLOps / LLMOps pipelines</b><br/><br/>- Containerise & serve AI/ML models with high scalability<br/><br/>- Manage <b>retrieval pipelines</b> & enforce SLOs (latency, throughput, cost)<br/><br/>- Integrate GenAI features with <b>web applications</b><br/><br/>- Support <b>POCs</b> for agentic workflows<br/><br/>- Implement <b>AI Governance, Safety & Compliance controls</b><br/><br/>- Monitor drift, hallucinations, & privacy risks<br/><br/>- Fine-tuning, prompt/policy optimisation & orchestration of LLMs<br/><br/>- Hands-on with <b>Kubernetes, Cloud, Vector Databases, Observability</b><br/><br/><b>What Were Looking For :</b><br/><br/>- 6- 14 Years of AI/ML Engineering experience<br/><br/>- Strong productionisation of LLMs (MLOps / LLMOps)<br/><br/>- Proven skills in Kubernetes, Cloud Platforms, Vector DBs<br/><br/>- Experience with Responsible AI practices<br/><br/>If you are <b>out of job, open to work, eager to contribute, and passionate about scaling GenAI</b>, this opportunity is for YOU!</p><br/></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 Bengaluru, India, highlighting market share and opportunities for professionals in AI ML roles.

112542 Jobs in India
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6065 Jobs in Bengaluru
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Are You Looking for AI/ML Deployment 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 IndiHire Consultants 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 Deployment Engineer Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Bengaluru. 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 Deployment Engineer?

Key qualifications for AI/ML Deployment 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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Interview Tips for AI/ML Deployment Engineer Job Success

IndiHire Consultants interview tips for AI/ML Deployment Engineer

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

Before the Interview:

Research: Learn about the IndiHire Consultants'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 Deployment Engineer interview at IndiHire Consultants, 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 IndiHire Consultants'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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