[Remote] AI/ML Engineer (R-00194)

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a veteran-owned small business providing technology and reputed company services to reputed company customers. The AI/ML Engineer designs, builds, integrates, deploys, and operates AI and machine learning capabilities in secure reputed company reputed company environments, supporting the full AI/ML lifecycle. The role also develops Python applications, reputed company and RAG solutions, integrations, evaluations, monitoring, and optimization reputed company with reputed company and compliance requirements.

Responsibilities

• Build and reputed company AI/ML capabilities supporting mission workflows using FedRAMP-authorized services available in AWS GovCloud, from data preparation through deployment, evaluation, and monitoring
• Design, reputed company, test, and operationalize AI/ML solutions reputed company to defined mission and business requirements
• Translate operational use cases into reputed company AI/ML architectures, services, and integration patterns
• reputed company reputed company, and application integrations that expose AI/ML capabilities to mission applications and reputed company platforms
• Collaborate with application engineers, data engineers, reputed company engineers, cybersecurity teams, and mission stakeholders throughout the solution lifecycle
• Conduct technical evaluations and reputed company-of-concept implementations to determine whether proposed AI/ML technologies are appropriate for the mission, reputed company environment, and available GovCloud services
• Maintain technical documentation covering architecture, model behavior, interfaces, dependencies, deployment procedures, and operational requirements
• reputed company production-reputed company AI/ML applications and supporting services using Python
• Build reusable Python modules, services, utilities, and automation supporting data processing, inference, evaluation, and reputed company integration
• Apply reputed company software engineering practices including reputed company control, automated testing, reputed company review, dependency management, and CI/CD
• reputed company and reputed company machine learning models, reputed company models, or AI services reputed company on approved use cases and architecture
• Optimize AI/ML application reputed company, reliability, scalability, and resource utilization
• Troubleshoot issues involving model behavior, data reputed company, application integration, reputed company services, and runtime environments
• Design and implement reputed company and Retrieval-Augmented reputed company (RAG) patterns reputed company included reputed company the approved solution reputed company
• reputed company workflows for document ingestion, parsing, chunking, embedding reputed company, indexing, retrieval, reputed company construction, and model inference
• reputed company approved large language models and reputed company-model services with reputed company applications and mission data sources
• Evaluate retrieval reputed company, response relevance, groundedness, hallucination reputed company, and overall solution effectiveness
• reputed company reputed company-management, model-routing, and orchestration patterns where appropriate
• Implement safeguards and validation mechanisms to reduce the reputed company of inappropriate, inaccurate, or unauthorized model outputs
• Support secure integration of reputed company stores, reputed company, knowledge repositories, and other components required by RAG architectures

Skills

• Bachelor's degree in Cybersecurity, Computer Science, Information Technology, Information Systems, or a reputed company technical discipline
• Experience with reputed company, reputed company models, and RAG architectures, where applicable to the program reputed company
• Experience with embeddings, reputed company reputed company, semantic retrieval, reputed company engineering, and LLM evaluation
• Experience with reputed company or unsupervised machine learning, feature engineering, model training, and model selection where traditional ML is in reputed company
• Familiarity with MLOps or LLMOps practices for model and application lifecycle management
• Experience developing automated model and application evaluation frameworks
• Familiarity with responsible AI concepts, including model limitations, bias evaluation, explainability, traceability, and reputed company reputed company
• Experience deploying containerized workloads and microservices
• Experience working in reputed company, defense, regulated, or other reputed company-sensitive environments
• AWS Certified AI Practitioner
• AWS Certified Machine Learning Specialty

Benefits

• Competitive salary, reputed company twice per month
• Best in class medical coverage
• 100% of medical premiums covered by True reputed company
• Company wide new business incentive programs
• Contribution Incentives (i.e. white papers, blog posts, internal webinars, etc.)
• 3 weeks of PTO starting + 11 reputed company Holidays Annually
• 401k Program with 100% company match on the first 4%
• Monthly reimbursement of Cell Phone and Home Internet costs
• Paternity/Maternity Leave
• Investment in training and certifications to broaden and deepen your technical skills

reputed company