Remote Machine Learning Engineer Jobs in Boonville, NY

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field (or equivalent experience).

• Minimum of 7 years experience working with data operations for enterprises, especially supporting RDF, ETL (Nifi), SQL (DB2, Oracle, etc.) 

• Security Clearance: Active DoD Secret clearance is highly desired; however, U.S. Citizens with the ability to obtain and maintain a Secret clearance will be considered.
• Clearance Requirement: Position requires U.S. Citizenship and the ability to obtain a Secret security clearance. Continued employment is contingent upon successfully obtaining and maintaining the required clearance level.
• Familiarity with cloud platforms (AWS, Azure, K8S, Docker, Openshift etc) and development frameworks (e.g., microservices, APIs).

• Programming proficiency in Shell scripting (Bash/KSH) and Python

• Familiarity with Machine Learning or Generative AI is highly desirable

• Experience with graph data modeling, particularly in RDF for large enterprise environments.

• Experience with Databricks or equivalent data stack is highly desirable

• Basic understanding of software development, systems architecture, and design patterns.

• Strong analytical and problem-solving skills with a willingness to learn and grow.

• Excellent communication skills and the ability to collaborate effectively with team members and stakeholders.

• A keen interest in technology and a passion for solution design and architecture.

• Demonstrated experience working with a cross-functional and geographically dispersed team.

• Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

Solution Design:

• Design solutions based on business requirements and technical needs.

• Support data modeling, ontology design, and schema development based on customer use cases.

• Help in creating architecture diagrams, technical specifications, and documentation.

• Assist in evaluating and recommending technologies and tools that align with project requirements.

Collaborate with Teams:

• Collaborate with cross-functional teams including software engineers, sales engineers, analysts, support engineers, project managers and customer success managers to ensure alignment on project goals and deliverables.

• Participate in design and technical discussions to gain insights into solution architecture best practices.

Technical implementation:

• identifying technical challenges and issues with customer SMEs.

• Help troubleshoot problems and find effective solutions during the design and implementation phases.

• Support cloud-based implementations on AWS, Azure and GPC.

• Assist in ETL processes, data source integration, and pipeline development to ingest customer data into the Stardog's knowledge graph platform.

• Write and execute SPARQL queries, graph transformations, and data validation scripts to ensure accuracy and consistency.

• Work closely with presales engineers to develop proof-of-value (POV) solutions.

Learning and Development:

• Continuously learn about new technologies, trends, and best practices in solution architecture and Knowledge Graphs.

• Develop a solid understanding of data modeling and software development methodologies.

Documentation:

• Assist in maintaining technical documentation, including design documents, architecture diagrams, and implementation guides.

• Ensure that all documentation is clear, accurate, and up to date.