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LLM/Gen AI Engineer - Data Modeling Job Opening In Chennai – Now Hiring The Judge Group


Job description

<p><p><b>Job Title : </b> Software Engineer - AI/ML/GenAI<br/><br/><b>Location : </b> Chennai - Onsite - Hybrid<br/><br/><b>Notice Period : </b> Joining within 30 Days only<br/><br/><b>Job Summary : </b><br/><br/>We are seeking a highly qualified and innovative Data Scientist to join our ambitious Product & Program Definition Transformation team.

In this role, you will be central to developing the intelligent systems that power our move to a future-state Product Lifecycle Management (PLM) environment.

You will apply your expertise to solve complex, real-world problems at the heart of our engineering and business processes.

Your work will directly contribute to the development of our Intelligent Transition Model and a suite of AI-Powered Accelerators designed to provide actionable insights from massive, diverse datasets.<br/><br/><b>Key Responsibilities : </b><br/><br/>- Design and build scalable AI/ML models to automate the decomposition and transformation of legacy artifacts (e.g., Program Direction Letters, Order Guides, Bills of Materials) into a future-state data model.<br/><br/>- Develop analytics prototypes and accelerators to generate actionable insights for all project workstreams, including Value Stream Mapping (VSM) generation, relationship analysis, and complexity metrics.<br/><br/>- Partner with business and architecture teams to translate complex and often ambiguous business logic into robust, scalable, and automated solutions.<br/><br/><b>Required Skills and Experience : </b><br/><br/>- 3+ years of hands-on experience in applying advanced machine learning and AI techniques.<br/><br/><b>- AI & Machine Learning Expertise : </b><br/><br/>- Generative AI & LLMs : Demonstrated experience applying Generative AI and Large Language Models (LLMs) to solve complex business problems.

This includes expertise in advanced prompt engineering, model fine-tuning, and using LLM APIs to automate the decomposition of unstructured text and business artifacts.<br/><br/>- Natural Language Processing (NLP) & Text Mining : Proven ability to apply NLP techniques to extract structured information, rules, and relationships from unstructured or semi-structured documents.<br/><br/>- Deep Learning : Proficiency in deep learning principles, including the design and implementation of neural networks and an understanding of transformer architectures.<br/><br/>- Classical Machine Learning : Strong foundation in applying traditional ML algorithms such as clustering, classification, decision trees, random forests, and support vector machines.<br/><br/><b>- Data & Programming Skills : </b><br/><br/>- Programming Languages : Strong proficiency in Python, including libraries like Pandas and NumPy.<br/><br/>- Data Processing and Wrangling : Extensive experience processing and wrangling both structured (e.g., BOMs, tabular data) and unstructured data from various formats and sources.<br/><br/><b>- Mindset & Problem-Solving : </b><br/><br/>- First Principles & Systems Thinking : A proven ability to deconstruct complex legacy processes using a first-principles approach to understand root causes.<br/><br/>- Inquisitive and Tenacious Mindset : Excellent problem-solving skills with a proven ability to challenge existing practices and uncover the logic behind established processes.<br/><br/>- Collaborative & Outcome-Oriented : A strong team player driven to build practical, scalable solutions that deliver tangible business value.<br/><br/><b>Preferred Skills and Experience : </b><br/><br/>- Big Data & Cloud Technologies : Experience with Google Cloud Platform (GCP) is highly preferred, especially with services such as Vertex AI, BigQuery, Cloud Storage, DBT, and NoSQL databases.<br/><br/>- Programming Languages : Experience with other analytical languages such as R, MATLAB, or SAS.<br/><br/>- Familiarity with the Hadoop Ecosystem.<br/><br/><b>Education : </b><br/><br/>- Required : Bachelor's Degree in Computer Science, Data Science, Statistics, Engineering, or a related field.</p><br/></p> (ref:hirist.tech)

Required Skill Profession

Computer Occupations


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Unlock Your LLM Gen Potential: Insight & Career Growth Guide


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What Is the Average Salary Range for LLM/Gen AI Engineer Data Modeling Positions?

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

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Key qualifications for LLM/Gen AI 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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Interview Tips for LLM/Gen AI Engineer Data Modeling Job Success

The Judge Group interview tips for LLM/Gen AI Engineer   Data Modeling

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

Before the Interview:

Research: Learn about the The Judge Group'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 LLM/Gen AI Engineer Data Modeling interview at The Judge Group, 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 The Judge Group'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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