Job Title:
Data Scientist / Gen AI Engineer / AIML Engineer
Experience:
6 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
Job Description:
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 solid analytical and business acumen
How to Apply (Important):
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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