IT - Technology Lead | OpenSystem | Python - OpenSystem
POC: Bharath Subramanya ATTENTION ALL SUPPLIERS READ BEFORE SUBMITTING: UPDATED CONTACT NUMBER and EMAIL ID is a MANDATORY REQUEST from our client for all the submissions Limited to 2 submission per supplier. Please submit your best. We prioritize endorsing those with complete and accurate information Avoid submitting duplicate profiles. We will Reject/Disqualify immediately. Make sure that candidate's interview schedules are updated. Please inform the candidate to keep their lines open.MANDATORY: Please include in the resume the candidate s complete & updated contact information (Phone number, Email address and Skype ID) as well as a set of 5 interview timeslots over a 72-hour period after submitting the profile when the hiring managers could potentially reach to them. PROFILES WITHOUT THE REQUIRED DETAILS and TIME SLOTS will be REJECTED.Job title: AI EngineerWork Location: Denver(CO)Vendor Rate: $75 USD Minimum years of experience: 8 TO 10Would you require the candidates to meet you for in person interview? NOIs Skype/WebEx interview,OK? OKIs this onsite/remote position: ONSITEIf onsite, will you be considering relocation candidates: YesDoes this position require Visa independent candidates only? NoJob Description:Role OverviewWe are looking for a Senior AI / GenAI Engineer with strong experience in production-grade ML systems, Generative AI (LLMs, RAG, Agents), and enterprise automation. The ideal candidate will have hands-on expertise in deploying scalable AI systems, ensuring reliability, monitoring, and governance, and working across domains such as healthcare or enterprise IT operations.Key Responsibilities1. GenAI & LLM EngineeringDesign and implement RAG pipelines using vector stores (Pinecone, FAISS, etc.)Build and deploy LLM-based applications using OpenAI, Claude, LLaMA, or similarDevelop multi-agent systems (LangChain, LangGraph, CrewAI, Autogen)Optimize prompts, retrieval strategies, and model performance for production use2. ML Engineering & Data ScienceBuild and deploy ML models across:Classification, Regression, NLP, Time-series, and Anomaly DetectionPerform EDA, feature engineering, and experiment designImplement A/B testing frameworks and performance evaluation pipelines3. MLOps & ProductionizationImplement end-to-end ML lifecycle:Model training, testing, deployment, monitoring, and rollbackUse tools like MLflow, CI/CD pipelines (GitHub Actions/Azure DevOps)Ensure model versioning, reproducibility, and governanceManage online & batch inference systems4. Observability & ReliabilityBuild monitoring systems for:Model driftPerformance degradationHallucination detection in LLMsDefine incident response and rollback strategiesMaintain dashboards and alerting frameworks5. AI Safety & ComplianceImplement AI guardrails:PII/PHI detectionContent filteringPrompt injection defenseEnsure compliance with regulatory standards (e.g., HIPAA)6. Cloud & InfrastructureDeploy solutions on AWS, GCP, or AzureAWS Bedrock, SageMakerGCP Vertex AIAzure OpenAI / AI FoundryBuild scalable infra using Docker, Kubernetes, Terraform7. Enterprise Automation (RPA Integration)Design and support RPA workflows using Automation Anywhere / UiPathIntegrate AI/ML models into automation pipelinesManage bot lifecycle, orchestration, and governance8. Collaboration & LeadershipWork with product, data, and engineering teams to deliver scalable solutionsMentor junior engineers and review technical designsCreate documentation (PDDs, SDDs, architecture designs)Required SkillsCore Technical SkillsStrong Python development (FastAPI, ML libraries)ML frameworks: PyTorch / TensorFlow / Scikit-learnGenAI stack: OpenAI, Claude, LLaMA, Hugging FaceRAG systems and vector databases (Pinecone, FAISS, etc.)MLOps & SystemsMLflow, model registry, CI/CD pipelinesExperiment tracking and automated testingDeployment patterns (batch + real-time inference)Data & APIsSQL, REST/SOAP APIsExperience with enterprise systems (SAP, Salesforce, etc. is a plus)Nice to HaveHealthcare domain experience (HIPAA compliance, clinical or claims data)Experience with agentic workflows & human-in-the-loop systemsHands-on experience in cost optimization for LLM workloadsRPA certifications (Automation Anywhere / UiPath)
Project Code: SDIT Nebula Dev amp Support
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