Data Scientist

Role -

Job Location -

Key Responsibilities:

• Mine, process, and analyze web, product, sales, and digital marketing data at an event level. 
• Utilize traditional machine learning techniques and language models (LLMs) to build great AI agents for different business needs.  
• Assist in developing and optimizing LLM-driven solutions for tasks such as text summarization and basic customer support automation. 
• Contribute to building and deploying predictive models and machine learning algorithms across customer profiles and usage datasets. 
• Support the deployment of machine learning models into production environments. 
• Assist in designing and implementing basic model activation strategies and participating in A/B testing plans. 
• Conduct evaluations of LLMs, focusing on basic performance metrics like accuracy and latency. 
• Integrate LLM agents with APIs and assist in maintaining data models and improving taxonomy. 

Key Skills :

• Hands-on experience with LLM models and basic knowledge of evaluation metrics for LLMs. 
• Knowledge of designing and deploying agentic systems. knowledge bases, retrieval systems (RAG architecture), and orchestrating dynamic multi-agent workflows. 
• Exposure to machine learning techniques including supervised and unsupervised learning 
• Proficiency in Python, SciKit, SQL, Jupyter Notebooks and understanding of cloud platforms for data science tasks. 
• Basic understanding of data mining and statistical analysis techniques. 
• Continuous learner, keeping up-to-date with the latest advances in transformers, generative AI models, retrieval-augmented generation (RAG), and agentic AI frameworks.  

Company Profile :

Please visit the Company website to have an overview of the company: https://www.growexx.com/