AI/ML Developer- NLP/LLM

AI/ML Developer for a leading global IT service provider: work location - remote.

7-10 years experience with strong NLP/LLM background/ hands-on experience, have done major work in Python.

Responsible for developing, deploying, and maintaining AI and machine learning models. Your expertise in Python, cloud services, databases, and big data technologies will be instrumental in creating scalable and efficient AI applications.

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, summarisation, 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 optimise ETL pipelines for data quality management, transformation, and validation.

• Utilise SQL, MySQL, PostgreSQL, and MongoDB for database management and query optimisation.

•Create interactive data visualisations 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 models for conversational AI, text generation, and summarisation.

•Develop and implement Agentic AI systems, enabling autonomous decision-making AI agents that can adapt, learn, and optimise tasks in real-time.

Key skills

•7-10 years of experience applying AI to practical uses.

• Proven experience in a senior or lead role, handling projects or mentoring junior developers.

•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