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AI Engineer Job Opening In Pune – Now Hiring ScaleneWorks


Job description

The AI Engineer is responsible for implementing Generative AI solutions for DXC business problems, improving efficiency, personalized user experiences, and the ability to automate complex tasks driving innovation.

The role encompasses the mission to design, develop, and deploy innovative generative AI models that can automate and enhance creative processes, solve complex problems, and drive the advancement of AI.

The role specializes in training Large Language Models (LLMs), implementing workflows based on Pretraining, Finetuning LLMs, and Retrieval-Augmented Generation (RAG), with a profound understanding of LLMs and expertise in creating RAG-based workflows.


Mandatory Skills:

1.

5+ Years of experience in the design & development of state-of-the-art language models, Utilize off-the-shelf LLM services, such as Azure OpenAI, to integrate LLM capabilities into applications.

2.

Deep understanding of language models and a strong proficiency in designing and implementing RAG-based workflows to enhance content generation and information retrieval.

3.

Experience in building, customizing and fine-tuning LLMs via OpenAI studio extended through Azure OpenAI cognitive services for rapid PoCs

4.

Proven track record of successfully deploying and optimizing LLM models in cloud(AWS, Azure or GCP) for inference in production environments and proven ability to optimize LLM models for inference speed, memory efficiency, and resource utilization.

5.

Apply prompt engineering techniques to design refined and contextually relevant prompts for language models.

6.

Monitor and analyse the performance of LLMs by experimenting with various prompts, evaluating results, and refining strategies accordingly.

7.

Building customizable, conversable AI agents for complex tasks using CrewAI and LangGraph to enhance Gen AI solutions

8.

Proficient in MCP(Model Context Protocol) for optimizing context-aware AI model performance and integration is a plus


Basic Qualifications:

1.

Bachelor's or Master's degree in computer science or a related discipline.

2.

Good communication & Interpersonal skills to interact with customers and partner teams

3.

Must be a quick learner & Self-starter who requires minimal supervision.

4.

Excellent Problem solving, Critical thinking & Analytics skills.

5.

Proficiency in english(Oral & Written)

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your AI Engineer Potential: Insight & Career Growth Guide


Real-time AI Engineer 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 Engineer in Pune, India, highlighting market share and opportunities for professionals in AI Engineer roles.

610892 Jobs in India
610892
13864 Jobs in Pune
13864
Download Ai Engineer Jobs Trends in Pune and India

Are You Looking for AI Engineer Job?

Great news! is currently hiring and seeking a AI 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 ScaleneWorks 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 Engineer Positions?

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

Key qualifications for AI 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 AI Engineer?

To improve your chances of getting hired for AI 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 AI Engineer Job Success

ScaleneWorks interview tips for AI Engineer

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

Before the Interview:

Research: Learn about the ScaleneWorks'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 Engineer interview at ScaleneWorks, 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 ScaleneWorks'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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