Job Title: Data Scientist / Gen AI Engineer / AIML Engineer

Experience:
9 -20 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 workplace Required Experience & Knowledge: 412 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
(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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