Description

Your Impact

  • Develop, train, and deploy machine learning models for predictive analytics, classification, and clustering.
  • Implement AI-based solutions using frameworks such as TensorFlow, PyTorch, and Scikit-learn.
  • Work with cloud platforms including AWS (SageMaker, Lambda, S3), Azure, and Google Cloud (Vertex AI).
  • Integrate and fine-tune Hugging Face transformer models (e.g., BERT, GPT) for NLP tasks such as text classification, summarization, and sentiment analysis.
  • Develop AI automation solutions, including chatbot implementations using Microsoft Teams and Azure AI.
  • Work with big data technologies such as Apache Spark and Snowflake for large-scale data processing and analytics.
  • Design and optimize ETL pipelines for data quality management, transformation, and validation.
  • Utilize SQL, MySQL, PostgreSQL, and MongoDB for database management and query optimization.
  • Create interactive data visualizations using Tableau and Power BI to drive business insights.
  • Work with Large Language Models (LLMs) for AI-driven applications, including fine-tuning, training, and deploying model for conversational AI, text generation, and summarization.
  • Develop and implement Agentic AI systems, enabling autonomous decision-making AI agents that can adapt, learn, and optimize tasks in real-time.

May perform additional duties as assigned.

Your Experience

  • 2+ years of experience applying AI to practical uses.
  • Strong programming skills in Python, SQL, and experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • Knowledge of basic algorithms and object-oriented and functional design principles
  • Proficiency in using data analytics libraries like Pandas, NumPy, Matplotlib, and Seaborn.
  • Hands-on experience with cloud platforms such as AWS, Azure, and Google Cloud.
  • Experience with big data processing using Apache Spark and Snowflake.
  • Knowledge of NLP and AI model implementations using Hugging Face and cloud-based AI services.
  • Strong understanding of database management, query optimization, and data warehousing.
  • Experience with data visualization tools such as Tableau and Power BI.
  • Ability to work in a collaborative environment and adapt to new AI technologies.
  • Strong analytical and problem solving skills.

Education: 

  •  
    • Bachelor’s degree in Computer Science, Data Science, AI/ML, or a related field.
    • Experience with cloud environments.

Education

Any Graduate