- Lead Project Teams to develop Bots for Business Processes
- SAP, Salesforce, HR & Chatbots
- Invoicing, Document Management, Asset Management, Vendor Reconciliation, Org level chatbots, HR processes such as Exit and Onboarding
- Work with Digital Transformation Teams for Process Assessment
- Automation Anywhere, UiPath, BluePrism, IQBots, Machine Learning
- Use AI-ML with NLP and reinforcement learning model for PDF, Email, Documents and OCR
- Natural Language Processing, Tensorflow Kearas, Pytorch
- Creating and reviewing process definition and technical design documents
- Machine learning model techniques for structured and unstructured data
- Model training, model inference, APIs, feature pipelines, continuous training, model monitoring
- Proof-of-concepts and evaluations of emerging technologies
- Exposure to cloud technologies (e.g., Microsoft Azure, Amazon Web Services)
- Model Lifecycle Management concepts, including concepts of algorithmic risk
- Strong proficiency in building/training machine learning models and its deployment
- Hands on experience in ML Ops using Python and ML libraries data-science and math packages such as NumPy , Pandas, Sklearn, Seaborne, Pycaret, Matplotlib
- Proficiency in Python and common machine learning frameworks (TensorFlow, NLTK, Stanford NLP, Ling Pipe, Caffe, Keras, SparkML and OpenAI.)
- Good understanding of any one cloud platform – AWS, Azure or GCP
- Oversee the delivery of high-quality AI-powered solutions to clients
- Lead and manage a team of AI engineers
- Collaborate with cross-functional teams for AI products and solutions.
Certifications
- Automation Anywhere Certified
- AI-ML Applied DataScience in Python
- Pyhon Coding : IBM Badge
- ML and NPL by Udemy
Related Tech Stack
- MLOps
- PySpark
- Python
- Tensor Flow
- Databricks
- NLTK, re
- Keras
- SparkML
- OpenAI - chatGPT
- Azure DevOps
- Understanding of Azure MLOps
Good Read: