Artificial Intelligence Engineer

• 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

• :
• 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:
• 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:

purbita.mondal@ltm.com

• 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.