What are the responsibilities and job description for the Data Scientist position at mavinsys?
Job Title : Data Scientist (AI / ML Azure Python AI Chatbots)
Location : New York / New Jersey (Onsite / Hybrid)
Industry : Banking (Preferred)
If interested please share resumes to
Job Description :
We are seeking a highly skilled Data Scientist with strong expertise in Azure Cloud Python and AI / ML to join our team. The ideal candidate should have handson experience in developing AIpowered chatbots creating automated summaries and delivering technical presentations using PowerPoint. The candidate will also be responsible for the automation of summarization processes and should have prior experience in the banking sector which would be an added advantage.
Key Responsibilities :
Develop deploy and optimize AI / ML models for chatbot applications and automated summarization.
Work extensively with Azure Cloud Services for AI / ML model deployment.
Create test and finetune AIdriven chatbots to enhance user experience.
Implement text summarization techniques using NLP and ML algorithms.
Automate the summarization process for largescale data reports and documentation.
Prepare and deliver technical presentations (PPTs) summarizing project findings and insights.
Collaborate with crossfunctional teams to integrate AIdriven solutions into existing business processes.
Leverage advanced Python programming skills to develop AIbased applications.
Work with banking domain data to build AI models tailored for financial applications (if applicable).
Required Skills & Experience :
9 years of experience in Data Science AI and Machine Learning.
Expertise in Python NLP Machine Learning and Deep Learning frameworks (TensorFlow PyTorch etc.).
Strong experience with Azure AI / ML services and cloudbased deployment.
Handson experience in developing AI chatbots using NLP techniques.
Proven track record in automating summarization techniques for structured and unstructured data.
Ability to create highquality technical PowerPoint presentations summarizing AI / ML insights.
Strong problemsolving skills and experience in model tuning and optimization.
Experience with banking domain datasets and applications (preferred but not mandatory).
