Artificial Intelligence/Machine Learning Architect - NLP/LLM

Description

Key Responsibilities

• Develop, train, and deploy machine learning models for predictive analytics, classification, and clustering use cases.
• Implement AI-based solutions using frameworks such as TensorFlow, PyTorch, and Scikit-learn.
• Work with major cloud platforms like AWS (SageMaker, Lambda, S3), Azure, and Google Cloud (Vertex AI).
• Fine-tune Hugging Face transformer models (BERT, GPT, etc.) for NLP tasks including text classification, summarization, and sentiment analysis.
• Develop AI automation and chatbot solutions, including integrations with collaboration tools (e.g., Microsoft Teams, Azure AI).
• Utilize big data technologies such as Apache Spark and Snowflake for large-scale data processing and analytics.
• Design and optimize ETL pipelines for data transformation, validation, and quality management.
• Manage databases such as SQL, MySQL, PostgreSQL, and MongoDB for performance and query optimization.
• Create data visualizations and business insights using tools like Tableau and Power BI.
• Work with Large Language Models (LLMs) to design AI-driven applications for conversational AI, text generation, and summarization.
• Contribute to the development of Agentic AI systems, enabling intelligent, autonomous decision-making processes.
  

Required Skills And Experience

• 7+ years of experience applying AI and ML in real-world projects.
• Proficiency in Python and SQL, with strong knowledge of ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Expertise in data manipulation using Pandas, NumPy, Matplotlib, and Seaborn.
• Hands-on experience with cloud services (AWS, Azure, or GCP).
• Familiarity with big data frameworks such as Spark and Snowflake.
• Strong understanding of database management and data warehousing.
• Exposure to NLP and LLM tools (Hugging Face, cloud AI APIs).
• Experience in data visualization tools like Tableau or Power BI.
• Strong analytical thinking, problem-solving skills, and the ability to adapt to emerging AI technologies.
• Excellent collaboration and communication skills to work effectively in global and cross-functional teams.
  

Education

• Bachelors degree in Computer Science, Data Science, AI/ML, or a related discipline.