Data Sciences Gen AI

About the job

Share your below details and CV to • Full Name (As per Aadhar) : • Mobile Number : • Email ID : • Are available for F2F Interview on interview on 20-Dec-25 at Bhubaneswar : • Total Working Experience : • Relevant Experience in Python Data Science : • Relevant Experience in AI/ML : • Relevant Experience in Generative AI : • Relevant Experience in Agentic AI : • Relevant Experience in AWS / Azure / GCP : • Current Company : • Current Location : • Preferred Location : • Notice Period : • Current CTC : • Expected CTC : • Any Offer in Hand : This is for Data sciences Gen AI. PFB the JD: JD-Mandatory Skills - Data Science, Gen AI, Python, RAG and Azure/AWS/GCP, AI/ML, NLP Secondary - (Any) Machine Learning, Deep Learning, ChatGPT, Langchain, Prompt, vector stores, RAG, llama, Computer vision, Deep learning, machine learning, OCR, Transformer, regression, forecasting, classification, hyper parameter tunning, MLOps, Inference, Model training, Model Deployment JD_More than 6 years of experience in Data Engineering, Data Science and AI / ML domain Excellent understanding of machine learning techniques and algorithms, such as GPTs, CNN, RNN, k-NN, Naive Bayes, SVM, Decision Forests, etc. Experience using business intelligence tools (e.g. Tableau, PowerBI) and data frameworks (e.g. Hadoop) Experience in Cloud native skills. Knowledge of SQL and Python; familiarity with Scala, Java or C++ is an asset Analytical mind and business acumen and Strong math skills (e.g. statistics, algebra) Experience with common data science toolkits, such as TensorFlow, KERAs, PyTorch, PANDAs, Microsoft CNTK, NumPy etc. Deep expertise in at least one of these is highly desirable. Experience with NLP, NLG and Large Language Models like BERT, LLaMa, LaMDA, GPT, BLOOM, PaLM, DALL-E, etc. Great communication and presentation skills. Should have experience in working in a fast-paced team culture. Experience with AIML and Big Data technologies like AWS SageMaker, Azure Cognitive Services, Google Colab, Jupyter Notebook, Hadoop, PySpark, HIVE, AWS EMR etc. Experience with NoSQL databases, such as MongoDB, Cassandra, HBase, Vector databases Good understanding of applied statistics skills, such as distributions, statistical testing, regression, etc. Should be a data-oriented person with analytical mind and business acumen.

Requirements

• Data Science
• Gen AI
• Python
• AI/ML
• NLP

Preferred Technologies

• Data Science
• Gen AI
• Python
• AI/ML
• NLP

About the company

LTIMindtree is committed to assisting customers in their digital transformation journeys and provides solutions and services across various industry verticals.