Job Title

Data Scientist / Gen AI Engineer / AIML Engineer

Experience

4 12 Years

Location

Pan India (Hybrid / Onsite as per project needs)

Mandatory Skills (MustHave)

Data Science

Generative AI (Gen AI)

Python

Retrieval Augmented Generation (RAG)

AI / ML

NLP

Cloud platforms: Azure / AWS / GCP

Secondary Skills (Any of the below):

Machine Learning, Deep Learning, ChatGPT, LangChain, Prompt Engineering, Vector Databases, RAG Pipelines, LLaMA, Computer Vision, OCR, Transformers, Regression, Forecasting, Classification, Hyperparameter Tuning, MLOps, Inference, Model Training, Model Deployment

We are looking for experienced Data Science / GenAI professionals with strong handson expertise in AI/ML and Large Language Models to work on enterprisegrade solutions.

Key Responsibilities

Design, develop, and deploy AI/ML and Generative AI solutions

Build and optimize RAGbased architectures using LLMs

Work with structured and unstructured data at scale

Implement models for NLP, forecasting, classification, and regression

Collaborate in a fastpaced, agile team environment

Required Experience & Knowledge:

4–12 years of experience in Data Engineering, Data Science, AI/ML

Strong understanding of ML algorithms:

GPTs, CNN, RNN, kNN, Naive Bayes, SVM, Decision Forests

Handson with Python and SQL (Scala / Java / C++ is a plus)





Experience with Cloudnative development

Exposure to Big Data & AI platforms:

AWS SageMaker, Azure Cognitive Services, Google Colab, Hadoop, PySpark, Hive, AWS EMR

Experience with NoSQL & Vector Databases:

MongoDB, Cassandra, HBase, FAISS, etc.

Strong applied statistics: distributions, hypothesis testing, regression

Proficiency with Data Science frameworks:

TensorFlow, Keras, PyTorch, Pandas, NumPy, CNTK

Experience with LLMs & NLP/NLG:

BERT, LLaMA, GPT, BLOOM, PaLM, LaMDA, DALLE

BI exposure: Tableau / Power BI is an added advantage

Strong communication, presentation, and stakeholdermanagement skills

Who Should Apply

Professionals with handson GenAI / RAG / LLM experience

Candidates comfortable working endtoend—from model training to deployment

Datadriven mindset with strong analytical and business acumen

How to Apply (Significant)

Share your resume at

[email protected]

Mandatory Email Subject Line Format:

Data Scientist / GenAI – Total Experience – Relevant Experience – Notice Period – Current Location

Email Body Must Include

Total Experience

Relevant Experience in GenAI / AIML

Notice Period

Current Location

Current & Expected CTC

Profiles without relevant GenAI / AIML handson experience may not be considered.

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