Qureos Mentor

Fractal Analytics

<div>It's fun to work in a company where people truly BELIEVE in what they are doing!
We're committed to bringing passion and customer focus to the business.<div><div>
Job Description</div></div><div><div><div><div><div><div><div><div><div><h1 class="jobSectionHeader">
EL3 &ndash; Databricks MLOps Engineer (Contract)</h1>
Domain: Claims Payment Integrity | M&amp;R, C&amp;S, E&amp;I Claims (preferred) 
Actuarial &amp; Forecasting Analytics Exposure is an Added Advantage 
Tech Stack: Databricks, Spark, Python, Scala, Azure, GitHub Actions, Terraform 
AI/LLM Capabilities: Embedding Models, LLM Integration, LangChain Agentic Frameworks<h2 class="jobSectionHeader">
Role Summary</h2>
The EL3 Databricks MLOps Engineer is a senior hands-on role responsible for enabling end-to-end machine learning lifecycle automation on Databricks. This includes building and maintaining the CI/CD infrastructure, environment configuration, packaging and deploying ML models, supporting reproducible experiments, and ensuring scalable job orchestration for AI/ML workloads, including LLM-based applications.
The role partners closely with Data Scientists, AI/ML Engineers, platform teams, and business stakeholders within Claims Payment Integrity to ensure robust, reliable, and automated ML delivery.<h2 class="jobSectionHeader">
Key Responsibilities</h2><ul><li>
Enable and automate the end-to-end ML lifecycle on Databricks (environment setup, model workflow automation, job scheduling, monitoring hooks).</li><li>
Build frameworks, templates, and utilities that make ML development and experimentation reproducible and scalable.</li><li>
Implement CI/CD pipelines using Git, GitHub Actions, Jenkins, Azure DevOps, or similar tools.</li><li>
Package, version, and deploy ML models into Databricks-managed execution environments.</li><li>
Set up automated workflows for training, retraining, evaluation, and scheduled job execution.</li><li>
Support creation and integration of machine learning models including classification, forecasting, anomaly detection, NLP, and PI models.</li><li>
Enable LLM/GenAI-driven solutions by integrating:<ul><li>
Embedding model generation</li><li>
RAG architectures</li><li>
Vector databases</li><li>
LangChain agentic workflows</li></ul></li><li>
Optimize resource usage, runtime configurations, and code execution patterns for ML workloads.</li><li>
Collaborate with Data Scientists to translate experimental notebooks into production-ready pipelines.</li><li>
Implement platform-level controls for environment consistency, dependency management, access control, and model versioning.</li><li>
Support troubleshooting, debugging, and performance improvements for ML workloads.</li><li>
Document standards, templates, guidelines, and best practices for MLOps teams.</li><li>
Work cross-functionally with product, engineering, and analytics teams across PI.</li></ul><h2 class="jobSectionHeader">
Required Qualifications</h2><ul><li>
Bachelor&rsquo;s/Master&rsquo;s degree in Computer Science, Engineering, or related field</li><li>
6&ndash;9 years of relevant experience in ML Engineering, MLOps, or platform engineering</li><li>
Strong hands-on experience with Databricks, Spark (batch/streaming), Python, Scala</li><li>
Experience enabling ML lifecycle tools such as MLflow (tracking, packaging, model registration)</li><li>
Strong CI/CD experience using Git, GitHub Actions, Jenkins, or Azure DevOps</li><li>
Experience deploying AI/ML models into cloud environments (Azure preferred)</li><li>
Ability to create and integrate embedding models, semantic vectors, and LLM-driven components</li><li>
Experience with LangChain for agentic workflows and integration of tools/functions</li><li>
Strong problem-solving, debugging, and collaboration skills</li></ul><h2 class="jobSectionHeader">
Preferred Qualifications</h2><ul><li>
Experience with Azure OpenAI or OpenAI-compatible LLM APIs</li><li>
Familiarity with healthcare claims workflows, PI, FWA, provider billing, or pricing</li><li>
Experience in Agile/Scrum environments</li><li>
Strong understanding of software engineering best practices, packaging, dependency management</li></ul><h2 class="jobSectionHeader">
Good-to-Have Data Knowledge</h2><ul><li>
Call Center datasets (member &amp; provider interactions)</li><li>
Provider RCM datasets (billing, coding, authorizations)</li><li>
EHR/clinical datasets for cross-domain validation</li></ul></div></div></div></div></div></div></div></div></div>
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!<h3 class="jobSectionHeader">
Hiring Related Queries</h3>
India: HiringsupportIndia@fractal.ai
Outside India: HiringsupportROW@fractal.ai
This inbox does not process resume submissions. All applications must be made through posted job openings
Not the right fit? Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!</div>

MLOps Engineer

<div>It's fun to work in a company where people truly BELIEVE in what they are doing!
We're committed to bringing passion and customer focus to the business.
Role- Azure Data Engineer
Locations- Pune, Mumbai, Gurgaon, Noida, Chennai, Coimbatore, Bangalore
Experience- 6-9years
Excited to grow your career?
We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position you see is right for you, we encourage you to apply!
Our people make all the difference in our success.
Responsibilities: 
1. Designing, developing, and maintaining data infrastructure and systems. 
2. Design, develop, and maintain our data infrastructure and systems 
3. Develop and maintain data pipelines to ingest data, ensure data quality and integrity 
4. Design and implement data models and database schemas to support business objectives 
5. Develop and maintain data pipelines to support data processing and analysis 
6. Partner with cross-functional teams to identify and prioritize data requirements and use cases 
7. Manage and optimize distributed systems and data storage solutions 
8. Develop and maintain best practices and standards for data engineering within the organization
Mandatory:
Azure, ADF, ADLS2, Databricks, Python, PySpark, DevOps, P&amp;G frameworks like AI factory, Ultimate, Pygentic
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!<h3 class="jobSectionHeader">
Hiring Related Queries</h3>
India: HiringsupportIndia@fractal.ai
Outside India: HiringsupportROW@fractal.ai
This inbox does not process resume submissions. All applications must be made through posted job openings
Not the right fit? Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!</div>

Senior Azure Data Engineer

<div>It's fun to work in a company where people truly BELIEVE in what they are doing!
We're committed to bringing passion and customer focus to the business.
Forward Deployed Engineer (FDE) &ndash; Cogentiq
About Cogentiq
Cogentiq is Fractal's Enterprise AI platform that enables organizations to build, deploy, and govern intelligent AI agents grounded in enterprise context. By connecting AI with enterprise knowledge, business systems, and workflows, Cogentiq empowers enterprises to solve complex business problems with trustworthy, scalable, and production-ready AI.
Cogentiq is Fractal&rsquo;s secure, scalable, enterprise agentic AI platform that enables teams to build, test, deploy, monitor agents and multi‑agent workflows with strong observability, evaluation, guardrails and RBAC across any cloud or LLM framework. It includes a no/low‑code development console, Agent &amp; MCP Gateways, and an enterprise marketplace for reusable agents, tools, connections and guardrails.
About the Role
We are looking for Forward Deployed Engineers (FDEs) to join the founding Cogentiq team. As an FDE, you will work at the intersection of software engineering, AI, enterprise integration, and customer success.
You will partner closely with enterprise customers to understand their business challenges, design AI-powered solutions, build production-grade integrations, and deploy Cogentiq into complex enterprise environments. Beyond customer implementations, you'll help shape the evolution of the Cogentiq platform by transforming deployment learnings into reusable platform capabilities, connectors, and best practices.
This role is ideal for engineers who enjoy solving ambiguous, real-world problems, thrive in fast-paced environments, and are excited to build the next generation of Enterprise AI.
What You'll Do<ul><li>
Design and develop production-grade AI applications using the Cogentiq platform.</li><li>
Deploy enterprise AI solutions from proof of concept to production.</li><li>
Build integrations with enterprise applications such as SAP, Salesforce, Workday, ServiceNow, SharePoint, Snowflake, Databricks, and other business systems.</li><li>
Develop reusable connectors, APIs, SDKs, MCP servers, and automation components.</li><li>
Design secure, scalable, cloud-native architectures and build reliable backend services and microservices.</li><li>
Collaborate directly with customer engineering and business teams to understand requirements, conduct technical workshops, and deliver successful AI solutions.</li><li>
Troubleshoot production deployments, optimize system performance, and ensure reliability and security.</li><li>
Capture learnings from customer deployments and contribute reusable capabilities back to the Cogentiq platform.</li><li>
Work closely with AI engineers, platform engineers, product managers, and solution architects to continuously improve the platform.</li></ul>
What We're Looking For<ul><li>
Strong Software Engineering: You have strong software engineering fundamentals and are proficient in Python, with experience in Java or TypeScript being a plus. You have built production-grade backend applications, REST APIs, microservices, and distributed systems, and are comfortable working with databases, Git, and modern software development practices.</li><li>
AI Engineering: You have hands-on experience building AI-powered applications using Large Language Models (LLMs), Agentic AI frameworks, Retrieval-Augmented Generation (RAG), tool calling, prompt engineering, and AI evaluation techniques. Experience with the Model Context Protocol (MCP) and modern AI orchestration frameworks is highly desirable.</li><li>
Enterprise Integration: You have experience integrating enterprise applications and platforms such as SAP, Salesforce, Workday, ServiceNow, SharePoint, Snowflake, Databricks, and other business systems. You understand enterprise integration patterns, API-first architectures, authentication mechanisms such as OAuth, JWT, and SAML, and are comfortable working with SQL, REST, and GraphQL APIs.</li><li>
Cloud &amp; Platform Engineering: You have experience building and deploying cloud-native applications on Azure, AWS, or Google Cloud using Docker and Kubernetes. You understand CI/CD pipelines, event-driven architectures, messaging platforms, observability, monitoring, and security best practices required to build reliable enterprise platforms.</li><li>
Customer &amp; Product Mindset: You enjoy working directly with customers to understand their business challenges and translate them into elegant technical solutions. You communicate effectively with both technical and business stakeholders, are comfortable leading architecture discussions and technical workshops, and thrive in environments where requirements evolve rapidly. You take ownership of outcomes, learn quickly, prototype rapidly, and continuously look for opportunities to transform customer-specific solutions into reusable platform capabilities.</li></ul>
Why Join Cogentiq?<ul><li>
Join the founding engineering team building Fractal's flagship Enterprise AI platform.</li><li>
Work on cutting-edge technologies including Generative AI, Agentic AI, Enterprise Context, Model Context Protocol (MCP), Knowledge Graphs, and AI Governance.</li><li>
Solve complex enterprise challenges for some of the world's leading organizations.</li><li>
Influence both customer success and the future direction of the Cogentiq platform.</li><li>
Build reusable capabilities that will power enterprise AI deployments across industries.</li><li>
Collaborate with a team passionate about redefining how enterprises adopt and scale AI.</li></ul>
Our Ideal Candidate
We're looking for engineers who enjoy solving real customer problems, not just implementing predefined tickets. You should be equally comfortable writing production-grade code, designing enterprise integrations, collaborating with customer teams, and shaping the future of the Cogentiq platform. If you're excited about building enterprise-grade AI systems that create meaningful business impact, we'd love to hear from you.
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!<h3 class="jobSectionHeader">
Hiring Related Queries</h3>
India: HiringsupportIndia@fractal.ai
Outside India: HiringsupportROW@fractal.ai
This inbox does not process resume submissions. All applications must be made through posted job openings
Not the right fit? Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!</div>

Senior / Lead Forward Deployed Engineer (FDE) - Cogentiq Platform

<div>It's fun to work in a company where people truly BELIEVE in what they are doing!
We're committed to bringing passion and customer focus to the business.
Business Analyst, Provider Networks &amp; Care Management
Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work&reg; Institute and recognized as a &lsquo;Cool Vendor&rsquo; and a &lsquo;Vendor to Watch&rsquo; by Gartner.
Please visit Fractal | Intelligence for Imagination for more information about Fractal
Note: This position is not eligible for Immigration Sponsorship at this time
Location: Remote
Role Overview:
We are seeking an experienced Business Analyst (BA) with strong expertise in Provider Network management and Care Management programs. This role partners with clinical, network, operations, IT, and analytics teams to analyze business processes, define requirements, and support initiatives that improve clinical outcomes, operational efficiency, cost management, and regulatory compliance.
The ideal candidate has deep knowledge of healthcare payer operations, understands end‑to‑end care management workflows, and can translate business needs into clear functional and technical requirements.
Key Responsibilities<ul><li>
Provider Network Analysis</li><li>
Analyze provider network operations including contracting, credentialing, directory management, network adequacy, and access standards.</li><li>
Support initiatives related to network optimization, provider performance, and value‑based care arrangements.</li><li>
Gather and document requirements for provider data management, directory accuracy, and compliance reporting.</li><li>
Act as a liaison between business users and technical teams for provider network systems.</li></ul>
Care Management &amp; Clinical Programs<ul><li>
Analyze Care Management workflows, including utilization management, case management, disease management, and population health programs.</li><li>
Support process improvements around prior authorization, referrals, transitions of care, and closure of care gaps.</li><li>
Translate clinical and operational needs into clear business and system requirements.</li><li>
Assist in the measurement and reporting of care outcomes, quality metrics, and utilization trends.</li></ul>
Business &amp; Systems Analysis<ul><li>
Conduct stakeholder interviews, workshops, and current‑state/future‑state process analysis.</li><li>
Develop Business Requirement Documents (BRDs), Functional Requirement Documents (FRDs), process flows, and user stories.</li><li>
Support system enhancements, integrations, and data initiatives related to provider and care management platforms.</li><li>
Validate solutions through UAT planning, execution, and defect triage.</li></ul>
Data, Reporting &amp; Compliance<ul><li>
Analyze healthcare data related to cost, utilization, quality, risk stratification, and provider performance.</li><li>
Support reporting for regulatory and accreditation requirements (e.g., CMS, NCQA, state mandates).</li><li>
Ensure alignment with healthcare standards such as ICD‑10, CPT, HCPCS, HEDIS, and FHIR where applicable.</li></ul>
Qualifications<ul><li>
6&ndash;10+ years of experience as a Business Analyst in healthcare.</li><li>
Strong hands‑on experience with Provider Network operations and Care Management programs.</li><li>
Experience working with payer systems or healthcare platforms supporting network and care management functions.</li></ul>
Domain Knowledge<ul><li>
Provider contracting, credentialing, and directory management.</li><li>
Care Management, Utilization Management, Case/Disease Management models.</li><li>
Value‑Based Care, ACOs, and quality improvement initiatives.</li><li>
Understanding of payer workflows and end‑to‑end member/provider lifecycle.</li></ul>
Technical &amp; Functional Skills<ul><li>
Requirements elicitation and documentation (BRD, FRD, user stories).</li><li>
Process modeling tools (Visio, Lucidchart, BPMN).</li><li>
Agile and/or Waterfall delivery methodologies.</li><li>
Data analysis using SQL, Excel, or BI tools (reported or self‑service).</li><li>
Familiarity with healthcare platforms such as care management systems, provider data systems, and claims platforms.</li></ul>
Soft Skills<ul><li>
Strong communication skills with clinical, business, and technical stakeholders.</li><li>
Ability to translate complex clinical and operational concepts into actionable requirements.</li><li>
Analytical mindset with strong problem‑solving capabilities.</li><li>
Proven ability to manage multiple priorities in a fast‑paced environment.</li></ul>
Nice‑to‑Have<ul><li>
Experience supporting HEDIS, Stars, Risk Adjustment, or Quality programs.</li><li>
Exposure to FHIR‑based integrations and healthcare interoperability initiatives.</li><li>
Certification such as CBAP, CCBA, or PMI‑PBA.</li><li>
Experience in payer modernization or digital health transformation initiatives.</li></ul>
Success Metrics<ul><li>
Improved efficiency and accuracy of provider network and care management processes.</li><li>
Successful delivery of system enhancements aligned to business needs.</li><li>
Reduction in rework or defects through clear requirements and UAT support.</li><li>
Positive stakeholder feedback and measurable impact on care quality and operational outcomes.</li></ul>
Pay:
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current base salary is up to $195,000.
Benefits:
As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides for 11 paid holidays and 12 weeks of Parental Leave. We also follow a &ldquo;free time&rdquo; PTO policy, allowing you the flexibility to take time needed for either sick time or vacation. 
 
Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex,
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!<h3 class="jobSectionHeader">
Hiring Related Queries</h3>
India: HiringsupportIndia@fractal.ai
Outside India: HiringsupportROW@fractal.ai
Please share resume via job postings
Not the right fit? Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!</div>

Business Analyst

Join Fractal Analytics and explore 4   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Fractal Analytics

About Company

MLOps Engineer

Senior Azure Data Engineer

Senior / Lead Forward Deployed Engineer (FDE) - Cogentiq Platform

Business Analyst