Identity AI​/ML Engineer

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This role is for an Identity AI / ML Engineer on a contract basis in Roanoke, Texas, offering $71 - $72 per hour.

Location:

Roanoke, Texas
• Job type:
Contract
• Salary: $71 - $72 per hour
•

Work hours:

8am to 5pm
•

Education:

Bachelors

You establish pipelines and frameworks that allow research models to move seamlessly into production. You enable RAG-based apps and agentic workflows to be deployed reliably. You ensure services are scalable, secure, and easy to integrate across teams. You provide clarity on how different ML models fit different business problems. Learning from and sharing knowledge and skills with your peers to enhance the team's total impact to the organization.

• Bachelor's or Master's in Computer Science, Artificial Intelligence, Machine Learning, or related field.
• 8+ years of software engineering experience in APIs, cloud deployments, and system integration.
• 3-5 years in ML engineering, with 2+ years in agentic or multi-agent systems.
• Proven experience building and deploying RAG pipelines using embedding models and vector search.
• Hands‑on experience with vector databases such as FAISS, Pinecone, Weaviate, or Milvus.
• Experience with agent orchestration frameworks (Lang Chain, CrewAI, Lang Graph, Auto Gen, etc.).
• Strong background in cloud‑native software engineering and microservices architecture.
• Concrete understanding of traditional ML models and their use cases.
• Advanced Python skills; familiarity with C++, Java, or .NET is a plus.
• Proficiency with AWS services (S3, Lambda, ECS, Sage Maker, etc.).
• Experience with Oracle, Snowflake, vector databases, and knowledge graphs (Neo4j, RDF/SPARQL).
• CI/CD pipelines, Docker, Kubernetes, Git Hub Actions.
• Understanding of Responsible AI principles and ability to identify and mitigate ethical risks.
• Exposure to continuous model evaluation and alerting tools is a plus.
• Stay updated with the latest advancements in Machine Learning and integrate them into projects.
• Communicate complex technical concepts to non‑technical stakeholders.

• Integration expertise: turn research outputs into production‑ready APIs and applications.
• ML/GenAI awareness: understand model types and how to connect them to real‑world data.
• System design: containerize, scale, and monitor services.
• Engineering discipline: apply CI/CD, versioning, and logging best practices to ML/GenAI deployment.
• Experience building observability systems for agent performance tracking (Prometheus, Grafana, Open Telemetry).
• Strong grasp of AI safety, fairness, and governance.
• Research, evaluate, and implement emerging tools and frameworks.
• Demonstrated success in proof‑of‑concept development, experimentation, optimization, and production deployment.
• Proficiency in designing scalable, distributed systems and cloud‑native applications.
• Collaborative mindset with strong communication and problem‑solving skills.

Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status. At Open Kyber, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact.

Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Open Kyber offers a comprehensive benefits package, including:

• Medical, prescription, dental, vision, AD&D, and life insurance offerings
• Short‑term disability
• 401K plan (all benefits are based on eligibility)

This posting is open for thirty (30) days.

For applications and inquiries, contact:

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