Description

You will design, develop, and deploy ML and NLP solutions to solve complex problems using state-of-the-art AI frameworks.

Responsibilities

• Design, develop, and deploy ML and NLP solutions using Python and modern AI frameworks.
• Apply LLMs and Generative AI techniques to build, train, fine-tune, and evaluate models.
• Collaborate with data engineers, MLOps, and product teams to operationalize models in production.
• Contribute to the development of scalable AI services and applications.
• Analyze large datasets to extract insights and support model development.
• Maintain clean, modular, and version-controlled code using Git.

Required Skills

• 3–10 years of hands-on experience with Python for data science and ML applications.
• Strong expertise in Machine Learning algorithms and model development.
• Proficiency in Natural Language Processing (NLP) and text analytics.
• Experience with Large Language Models (LLMs) and Generative AI frameworks such as LangChain or Hugging Face Transformers.
• Experience with model deployment and real-world application integration.
• Proficiency with version control systems like Git.
• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.

Preferred Skills

• Experience with PySpark for distributed data processing.
• Exposure to MLOps practices and model lifecycle management.
• Familiarity with cloud platforms including AWS, GCP, or Azure.
• Knowledge of vector databases like FAISS or Pinecone and embeddings.

Key Skills

Education

Bachelor's or Master's degrees