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