ECS is seeking a Sr. Artificial Intelligence Engineer to work remotely .

ECS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business Intelligence platform focused on providing solutions that empower our Federal customers with the tools and capabilities needed to turn data into actionable insights. The ideal candidate is a critical thinker and perpetual learner; excited to gain exposure and build skillsets across a range of technologies while solving some of our clients' toughest challenges. As a Data Engineer, you will be integral to data operations for the development and integration of multiple data types across a range of data sets and sources.

You will be responsible for the day-to-day operations of systems that depend on data, ensuring data is properly processed and securely transferred to its appropriate location, in a timely manner. Processing data will include managing, manipulating, storing and parsing data in a data pipeline for variety of target sources. You will also support maintenance of applications and tools that reside on these systems such as upgrades, patches, configuration changes, etc. The work is performed in a multidisciplinary team environment using agile methodologies. The candidate we seek must be highly motivated and enthusiastic about implementing new technologies and learning about new data in a small team environment where deadlines are important.

As this role will involve supporting rapidly evolving AI/ML projects and use cases, data engineers with experience in any of the following areas are highly encouraged to apply: NLP, data provenance, LLMs/RAG, or deep learning.

Job Responsibilities:

Complete development efforts across data pipeline to store, manage, store, and provision to data consumers Partner with data scientists, data architects, and federal stakeholders to deploy AI/ML models in production Being an active and collaborating member of an Agile/Scrum team and following all Agile/Scrum best practices Write code to ensure the performance and reliability of data extraction and processing Support continuous process automation for data ingest Achieve technical excellence by advocating for and adhering to lean-agile engineering principles and practices such as API-first design, simple design, continuous integration, version control, and automated testing Work with program management and engineers to implement and document complex and evolving requirements Help cultivate an environment that promotes customer service excellence, innovation, collaboration, and teamwork Collaborate with others as part of a cross-functional team that includes user experience researchers and designers, product managers, engineers, and other functional specialists Salary Range: $150,000 - $185,000

General Description of Benefits Must be a US Citizen Must be able to obtain a Public Trust Clearance 7+ years of IT experience including experience in working with modern cloud data warehouse technologies Experience with Large Language Models, NLP, GenAI, and scaling of AI tools Proficiency developing ETL processes, and performing test and validation steps Proficiency to manipulate data (Python, R, SQL, SAS) Strong experience with prompt engineering Experience with setting up, monitoring, and maintaining cloud database instance Experience with designing table models using start or snowflake schemas Experience with query optimization for data aggregation and report generation Experience with ingesting data of various types into Azure PostgreSQL or other serverless data storage types Strong knowledge of big data analysis and storage tools and technologies Strong understanding of the agile principles and ability to apply them Experience working inside the Azure ecosystem Experience with relational databases (e.g., PostgreSQL) Work comfortably in version control systems (e.g., Git)