Join our innovative team as a Generative AI Engineer, where you’ll design and maintain cutting-edge data pipelines to fuel actionable insights.
Collaborate with data analysts and business stakeholders to enhance operational efficiency and elevate customer satisfaction through advanced data engineering and AI-driven solutions.
This remote role offers the opportunity to make a meaningful impact in a dynamic, fast-paced environment.
The position is remote (US-based, excluding CA and HI) and requires working EST hours.
Employment type is contract-to-hire with a pay rate of $45–47/hour (target).
Requirements:
You should have 3–5 years of experience in data engineering, with strong expertise in ETL processes, data warehousing, and contact center AI/ML applications.
Proficiency in SQL, Python (for ETL, data integration, and modeling), and Java is required.
Expertise with data integration tools such as Informatica, Talend, or Apache Airflow is necessary.
Strong knowledge of relational and NoSQL databases, cloud platforms (AWS or Google Cloud), and big data technologies (Hadoop, Spark) is essential.
Experience with data manipulation tools like Pandas and version control systems is expected.
Familiarity with AI/ML fundamentals, model deployment, and data preparation is important.
An understanding of data privacy, regulatory compliance, and customer feedback measurement in AI projects is required.
A Bachelor’s degree in Computer Science, Engineering, or a related field is mandatory.
Benefits:
The position offers the flexibility of remote work, allowing you to work from anywhere in the US (excluding CA and HI).
You will have the opportunity to work in a dynamic and fast-paced environment, making a meaningful impact on the organization.
The contract-to-hire employment type provides a pathway to permanent employment based on performance.
Competitive pay rate of $45–47/hour (target) is offered for this role.
