AI/ML Developer - NLP/LLM

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

Job Description :

- 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.