Description

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

Responsibilities

• Lead the development of predictive models using machine learning algorithms to improve forecast accuracy and resource allocation.
• Build and implement big data infrastructure using AWS, open-source technologies, and Amazon S3 for scalable storage.
• Deploy and manage secure, cost-efficient big data solutions on Amazon Web Services.
• Implement infrastructure as code using Terraform and Scalr to automate cloud resource provisioning.
• Collaborate with cross-functional teams to align data models with business goals and analytics capabilities.

Required Skills

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

Preferred Skills

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

Key Skills

Education

Any Graduate