Description

You will build scalable big data infrastructure and predictive models to support business operations.

This role is on-site.

Responsibilities

• Lead development of predictive models using machine learning to improve forecast accuracy.
• Build big data infrastructure using AWS, open-source technologies, and Amazon S3.
• Deploy secure, cost-efficient big data solutions on Amazon Web Services.
• Implement infrastructure as code using Terraform and Scalr for automation.
• Collaborate with cross-functional teams to align data models with business goals.

Required Skills

• 6+ months experience with SQL, NoSQL, Data Pipelines, and ETL.
• Hands-on experience with AWS, including Amazon S3.
• Practical application of NLP libraries such as SpaCy and NLTK.
• Experience with text processing, API development, and Generative AI.
• Knowledge of Transfer Learning, Model Fine-Tuning, and Text Classification.
• Understanding of Natural Language Generation, Conversational AI, and Chatbots.
• Ability to travel or relocate to client sites throughout the USA.

Preferred Skills

• Master’s degree in Computer Science, IT, Engineering, or related field with 6 months experience.
• Bachelor’s degree in a related field with 5 years of progressive experience.

Key Skills

Education

Any Graduate