Data scientist

Responsibilities

• Professional experience with different regression and classification methods in implementation and deployment of project on AWS GCP and Azure cloud platform. Follow the standard practice and guidelines while using Python, SQL.
• Experience with Langchain framework for GenAI.
• Develop and fine-tuning Generative AI models such as GPT for various applications.
• Using Generative AI to work on tasks like text generation, sentiment analysis, chatbots and language translation using RAG and agent-based models.
• Adjust language models that have already been trained for generative AI applications.
• Experience in tokenization and embeddings and must have used GPT, LLaMA, Huggingface, Mistral, AWS BedRock for deploying the models.
• Analyze data and Generating insights using generative AI techniques for predictive modelling and data generation.
• Building chatbot using different scalable data source for generating charts and statement.
• Having experience building front end application using Streamlit/Gradio/Flask/Fast for Generative AI input and output display.
• Responsible for weekly release of upgrades and new features to enhance current algorithm.
• Evaluating the performance of generative AI models and implementing improvements based on feedback.
• Ensuring ethical and responsible use of AI by addressing bias, privacy concerns and fairness in AI models.
• Must Demonstrate understanding of evaluation metrics specific to GenAI task such as inception score, frechet inception distance, perpetual path length.
• Collaborating with cross-functional teams, including data scientist, engineers, and domain experts to integrate Generative AI into product or services.
• Able to design Machine learning, Deep learning and Generative AI architecture and its successful execution in the project.
• Must have basic understanding on Word and Excel.
• Proficiency in programming language like Python, SQL, frameworks such as Langchain for AI model development.
• Experience on Rest API, Flask API, Fast API.

Key skills:

• python
• Machine Learning
• azure
• Predictive
• Modeling