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Data Platform Engineer Job Opening In Airoli – Now Hiring Accenture


Job description

Job Description

: We are seeking a Generative AI Engineer with 3.5+ years of experience to work with cutting-edge AI technologies, including RAG (Retrieval-Augmented Generation), Agentic AI, and transformer-based architectures, along with strong Python programming skills, to design, implement, and optimize AI-driven data solutions.

Roles & Responsibilities: Design and implement AI-powered data pipelines leveraging RAG models and transformers for advanced knowledge retrieval and generation tasks.

Utilize LangChain, LangGraph, and other frameworks to build and integrate intelligent workflows and conversational agents.

Develop Agentic AI solutions to create autonomous, goal-driven agents that interact with dynamic environments and data.

Optimize data storage, processing, and retrieval techniques for large-scale AI platforms.

Engineer prompt structures for optimized performance in generative AI tasks, including natural language processing (NLP) and multimodal applications.

Ensure robust data privacy and security measures are in place for all AI-driven systems.

Continuously monitor, troubleshoot, and enhance AI system performance.

Collaborate with cross-functional teams (e.g., Data Scientists, Engineers) to integrate generative AI models into real-world data solutions.

Required Technical Skills: 3.5+ years of hands-on experience in Python for building AI models and systems.

Strong expertise in Generative AI frameworks, such as RAG (Retrieval-Augmented Generation), transformers, and agentic models.

Proficiency in LangChain, LangGraph, and Agentic AI frameworks to develop intelligent, goal-oriented agents and workflows.

Hands-on experience with prompt engineering for optimizing generative AI outputs.

Strong experience with cloud-based platforms like AWS, Azure, or GCP for deploying AI solutions.

Deep understanding of data governance, compliance, and security standards in AI applications.

Familiarity with NLP libraries (like Hugging Face, spaCy, NLTK) and machine learning frameworks (like TensorFlow, PyTorch).

Experience working with Databricks or similar platforms for AI/ML model deployment and scaling.

Preferred Skills: Experience in deploying AI models with real-time inference capabilities.

Familiarity with reinforcement learning, active learning, and multi-agent systems.

Knowledge of computer vision and multimodal AI techniques (text, images, video, etc.).

Understanding of data modeling for AI-powered systems and integration with existing data pipelines.

Educational Qualification: - 15 years full time education is required.15 years full time education

About Accenture

We work with one shared purpose: to deliver on the promise of technology and human ingenuity.

Every day, more than 775,000 of us help our stakeholders continuously reinvent.

Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment.

We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.At Accenture, we see well-being holistically, supporting our people’s physical, mental, and financial health.

We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences.

We’re proud to be consistently recognized as one of the World’s Best Workplaces™.Join Accenture to work at the heart of change.

Visit us atwww.accenture.com

Equal Employment Opportunity Statement


We believe that no one should be discriminated against because of their differences.

All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, militaryveteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicablelaw.

Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your Data Platform Potential: Insight & Career Growth Guide


Real-time Data Platform 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 Data Platform in Airoli, India, highlighting market share and opportunities for professionals in Data Platform roles.

165095 Jobs in India
165095
5 Jobs in Airoli
5
Download Data Platform Jobs Trends in Airoli and India

Are You Looking for Data Platform Engineer Job?

Great news! is currently hiring and seeking a Data Platform 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 Accenture 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 Data Platform Engineer Positions?

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

Key qualifications for Data Platform 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 Data Platform Engineer?

To improve your chances of getting hired for Data Platform 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 Data Platform Engineer Job Success

Accenture interview tips for Data Platform Engineer

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

Before the Interview:

Research: Learn about the Accenture'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 Data Platform Engineer interview at Accenture, 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 Accenture'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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