Data Engineer

Experience Required:
Experience of Six (6) months working with SQL, NoSQL, Data Pipelines, ETL, AWS, NLP Libraries (SpaCy, NLTK), Text Processing, API Development, Generative AI, Transfer Learning, Model Fine-Tuning, Text Classification, Natural Language Generation, Conversational AI, Chatbots, Text Summarization. Travel and/or Relocation to Unanticipated Client Sites Throughout USA is required.

Job Responsibilities:
Lead the development of predictive models using machine learning algorithms, improving forecast accuracy and optimizing resource allocation for key business operations. Collaborate with cross-functional teams to ensure data models align with business goals and enhance analytics capabilities. Develop and implement a robust big data infrastructure, leveraging a combination of AWS and open-source technologies and implement scalable data storage solutions using Amazon S3. Deploy and manage scalable, cost-efficient, and secure big data solutions on Amazon Web Services (AWS). Implement infrastructure as code using Terraform and Scalr to automate the provisioning and management of cloud resources, enhancing scalability and reducing deployment times.

Educational Requirement:
Master’s degree in Computer Science/ IT/IS/ Engineering (Any) / Business or related field with Six (6) months of experience in the job offered or as an IT Consultant/ IT Analyst/ Programmer/ Developer/IT Engineer or closely related area. Employer also accepts Bachelor’s degree in Computer Science/ IT/IS/ Engineering (Any) /Business or related field plus five years of progressive work experience in related field.