Qureos Mentor

infinite Computer Solution

<p></p><div><div><div><div><div><div><div><div>1. 2-4 years of experience on cloud technology.</div></div><br>
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2. Openstack,Kubernetes,Linux,openshift,</div></div><br>
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3. CaaS onboarding support,Helm Chart, ISTIO</div></div><br>
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4. Should have good understanding Networking IP knowledge</div></div><br>
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5. Knowledge on CNF/VNF onboarding support</div></div><br>
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6. Good understanding of LLD,HLD</div></div><br>
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</div><div><p><b>Qualifications</b></p>
<div>BE/BCA/BSC</div>
</div><div><p><b>Range of Year Experience-Min Year</b></p>
<div>2</div>
</div><div><p><b>Range of Year Experience-Max Year</b></p>
<div>4</div></div></div></div><div></div>

Senior Support Engineer

<p></p><div><div><div><div><b>Key Responsibilities</b><br>
<b>1. AI/ML Model Development</b><ul><li>
Build, fine-tune, and evaluate ML/LLM models for classification, prediction, summarization, RAG, and agentic workflows.</li><li>
Develop modular, reusable model pipelines supporting multi-tenant architectures.</li><li>
Conduct experimentation, A/B testing, and performance tuning.</li></ul><b>
2. AI Agent &amp; Orchestration Development</b><ul><li>
Implement agentic frameworks (multi-step reasoning, workflows, tool use).</li><li>
Integrate AI agents into orchestration layers (Drools, microservices, API gateways).</li><li>
Build domain-specific ontologies, embeddings, vector search, and retrieval layers.</li></ul><b>
3. Data Engineering &amp; Feature Pipelines</b><ul><li>
Build ETL/ELT pipelines, feature stores, and real-time data ingestion using Python and SQL.</li><li>
Work with structured/unstructured data including EDI, FHIR, PDFs, medical records.</li></ul><b>
4. Platform &amp; API Integration</b><ul><li>
Develop secure, scalable APIs (REST/GraphQL) for embedding AI into product workflows.</li><li>
Integrate AI modules with microservices, Postgres DB, event queues, and messaging layers.</li><li>
Work closely with DevOps to deploy models into containerized environments (AWS, Docker, Lambda).</li></ul><b>
5. Enterprise-Grade AI Delivery</b><ul><li>
Implement monitoring, guardrails, safety filters, hallucination-mitigation and auditability.</li><li>
Ensure HIPAA, PHI, SOC2, CMS-compliant AI operations.</li><li>
Drive MLOps best practices including CI/CD pipelines, versioning, and model governance.</li></ul><b>
6. Cross-Functional Collaboration</b><ul><li>
Work with product, clinical, engineering, and client teams to translate real-world use cases into scalable AI solutions.</li><li>
Collaborate with SMEs in UM/CM, provider operations, risk, fraud, and claims workflows.</li></ul><p></p><b><br>
Required Skills &amp; Experience</b><br>
<b>Technical Skills</b><br>
<ul><li>
Strong Python development (FastAPI, LangChain, LlamaIndex, PyTorch, transformers).</li><li>
Hands-on LLM experience (OpenAI, AWS Bedrock, local models like Llama, Mistral).</li><li>
Experience with vector databases (Pinecone, PGVector, Chroma).</li><li>
Solid SQL experience (PostgreSQL preferred).</li><li>
Experience building microservices and event-driven systems.</li><li>
Knowledge of AWS stack: Lambda, S3, EC2, API Gateway, Step Functions.</li><li>
Experience with AI agents, RAG pipelines, and orchestration frameworks.</li><li>
Familiarity with healthcare standards (FHIR, EDI 278/837/835) is a strong plus.</li></ul><b>
Soft Skills</b><br>
<ul><li>
Strong problem-solving, analytical thinking, and debugging skills.</li><li>
Ability to work in fast-paced, ambiguous, product-driven environments.</li><li>
Excellent communication skills for cross-functional collaboration.</li></ul><p></p><b><br>
Preferred Qualifications</b><br>
<ul><li>
12&ndash;18+ years of experience in AI/ML engineering or software engineering with AI integration.</li><li>
Experience in payers, providers, health tech, or regulated industries.</li><li>
Exposure to rule engines (Drools/Blaze/Sparkling Logic) and BPM/orchestration systems.</li><li>
Experience with RPA, document processing, OCR/NLP, or medical record extraction.</li></ul></div>
</div><div><p><b>Qualifications</b></p>
<div>Graduate</div>
</div><div><p><b>Range of Year Experience-Min Year</b></p>
<div>12</div>
</div><div><p><b>Range of Year Experience-Max Year</b></p>
<div>18</div></div></div></div><div></div>

Project Manager

<p></p><div><div><div><div>1) Minimum 4 years to automation test script development using Appium and Java for Android applications<br>
2) Very good communications skills<br>
3) Understanding of Telecom domain is an advantage.</div>
</div><div><p><b>Qualifications</b></p>
<div>Graduation</div>
</div><div><p><b>Range of Year Experience-Min Year</b></p>
<div>4</div>
</div><div><p><b>Range of Year Experience-Max Year</b></p>
<div>8</div></div></div></div><div></div>

Senior Quality Analyst

<p></p><div><div><div><div><p><b>Job Summary:</b></p><p>
We are seeking a detail-oriented and technically skilled Digital Analyst with hands-on experience in <b>Google Tag Manager (GTM)</b> to support our digital analytics initiatives. The ideal candidate will be responsible for implementing and managing tracking solutions, ensuring accurate data collection, and enabling actionable insights across web and digital platforms.</p><p></p><p><b><br>
Key Responsibilities:</b></p><ul><li>
Implement and manage <b>Google Tag Manager</b> containers across multiple websites and platforms.</li><li>
Collaborate with marketing, product, and development teams to define tracking requirements.</li><li>
Create and maintain tags, triggers, and variables in GTM to support analytics and marketing needs.</li><li>
Ensure accurate data collection for tools like <b>Google Analytics</b>, <b>GA4</b>, <b>Google Ads</b>, <b>Meta Pixel</b>, and other third-party platforms.</li><li>
Debug and troubleshoot tag implementation issues using tools like <b>Tag Assistant</b>, <b>Chrome DevTools</b>, and <b>GTM Preview Mode</b>.</li><li>
Maintain documentation of tagging strategies, data layers, and tracking specifications.</li><li>
Monitor data quality and integrity across analytics platforms.</li><li>
Support A/B testing and personalization efforts through tag-based tracking.</li><li>
Stay updated on industry best practices and evolving analytics technologies.</li></ul><p></p><p><b><br>
Required Skills &amp; Qualifications:</b></p><ul><li>
3&ndash;6 years of experience in digital analytics or tag management.</li><li>
Strong proficiency in <b>Google Tag Manager</b>, <b>Google Analytics (Universal &amp; GA4)</b>.</li><li>
Familiarity with <b>JavaScript</b>, <b>HTML</b>, and <b>CSS</b> for tag customization.</li><li>
Excellent problem-solving and communication skills.</li><li>
Ability to work cross-functionally with technical and non-technical stakeholders</li></ul></div>
</div><div><p><b>Qualifications</b></p>
<div>BSC(CS)/B Tech</div>
</div><div><p><b>Range of Year Experience-Min Year</b></p>
<div>3</div>
</div><div><p><b>Range of Year Experience-Max Year</b></p>
<div>6</div></div></div></div><div></div>

Lead System Analyst

<p></p><div><div><div><div>BRM Consultant</div>
</div><div><p><b>Qualifications</b></p>
<div>BE</div>
</div><div><p><b>Range of Year Experience-Min Year</b></p>
<div>5</div>
</div><div><p><b>Range of Year Experience-Max Year</b></p>
<div>10</div></div></div></div><div></div>

Consultant