Qureos Mentor

TESTQ TECHNOLOGIES LTD

<div>Job Description
Functional Accountabilities<ul><li>
Develop internal business intelligence reports - including interactive business intelligence reports, strategic management reports, and ad hoc reports - on a prioritized basis.</li><li>
Enhance internal reporting by allowing us to provide more detailed and meaningful figures on usage and trends.</li><li>
Create new and enhance existing dashboards from the various sources of data like Azure Synapse, Snowflake, Google Big Query, Flat files etc.</li><li>
Carry out data modeling and build scenarios to allow decision support.</li><li>
Support other teams in using their data better by providing advice and support such as how to structure data and Power Bi advice.</li><li>
Provide timely and accurate information in a way that is user-friendly, usable, and digestible.</li><li>
Support the development of the business KPI library by adding new business metrics and dimensions.</li><li>
Create and maintain documentation including requirements, design, and user manuals.</li><li>
Identify opportunities to improve processes and strategies with technology solutions.</li><li>
Identify development needs in order to improve and streamline operations.</li><li>
Implement row-level security on data.</li><li>
Research, develop, and implement data-gathering methods.</li><li>
Create relationships between data and develop tabular and other multidimensional data models.</li><li>
Develop data warehouse queries that will be used to support ad-hoc business analysis.</li><li>
Work closely with the vendors to ensure best practices are followed during the design and development of the Business Intelligence solutions.</li></ul> 
Minimum Qualification<ul><li>
Bachelor&rsquo;s degree in Computer Science, Information Technology, or a related field. Master&rsquo;s degree is preferred.</li></ul> 
 Minimum Experience<ul><li>
5+ years of experience as a BI Developer.</li><li>
Strong Knowledge of Power BI, SQL, Python, MS Synapse, and Data Modelling (Semantic Layer)</li></ul></div>

Sr Business Intelligence and Insights Analyst

<div>Job description:-
This role combines deep ServiceNow platform expertise with specialized knowledge in Artificial Intelligence and Machine Learning (AI/ML), particularly leveraging the platform's native intelligence features. The ideal candidate will design and implement AI/ML solutions within the ServiceNow ecosystem, identify practical use cases, and translate technical capabilities into business value for key stakeholders and Process SMEs. 
Responsibilities
AI/ML Strategy and Architecture
Architect AI/ML Solutions: Design and lead the technical architecture for intelligent solutions within ServiceNow, utilizing native features like Predictive Intelligence and Now Assist, as well as integrating with external AI platforms.
Define Use Cases: Collaborate with business leaders and Process SMEs to define compelling AI/ML use cases that address critical business challenges and drive digital transformation.
Roadmap Development: Create a strategic roadmap for AI/ML adoption on the ServiceNow platform, outlining future capabilities and infrastructure investments.
Data and MLOps: Work with data engineers and ML engineers to establish data pipelines, implement MLOps practices, and manage the full lifecycle of ML models, from experimentation to production.
Ethical AI Governance: Ensure ethical AI practices, data privacy, and security are embedded in all AI/ML solutions.
ServiceNow Platform Expertise
Platform Design: Serve as the technical authority on the ServiceNow platform, designing scalable, secure, and high-performing solutions that adhere to best practices, such as the Common Service Data Model (CSDM).
Integration Leadership: Architect and oversee integrations between ServiceNow, enterprise data platforms, and third-party systems using tools like Integration Hub, APIs, and MID Servers.
Core Module Enhancement: Guide the enhancement and optimization of core ServiceNow modules (ITSM, ITOM, HRSD, etc.) with AI/ML functionality.
Performance Optimization: Implement strategies to ensure the overall health, performance, and scalability of the ServiceNow instance.
Business &amp; Stakeholder Engagement
Technical Advisory: Act as a trusted technical advisor to C-suite executives, business leaders, and product owners.
Stakeholder Communication: Translate complex technical concepts related to AI/ML into understandable business outcomes for both technical and non-technical audiences.
Change Management: Work with delivery teams to ensure successful user adoption of new AI-powered features, addressing the impact of automation on workflows.
Mentorship: Provide guidance and mentorship to development teams on ServiceNow best practices, AI capabilities, and emerging technologies.
Qualifications:-
8+ years of experience in enterprise software architecture, with a minimum of 5 years focused on the ServiceNow platform.
3+ years of hands-on experience designing and deploying AI/ML solutions, preferably within the ServiceNow ecosystem using products like Predictive Intelligence, Now Assist, and Virtual Agent.
Proven experience in architecting and delivering production-ready ML systems in areas such as search, NLP, recommendation, and classification.
Proficiency with ML frameworks (e.g., TensorFlow, PyTorch), cloud AI services (e.g., AWS SageMaker, Azure ML), and MLOps tools.
Extensive experience with ServiceNow development, scripting (JavaScript), integrations (REST/SOAP), and data models (CSDM).
Strong communication and leadership skills, with the ability to influence technical and business stakeholders.
ServiceNow Certified Technical Architect (CTA) or equivalent experience is highly preferred.
Recommendations for Process SMEs
For Process SMEs, the arrival of a ServiceNow Architect with AI/ML experience represents a significant opportunity to optimize and transform business processes. The key is to focus on understanding AI's potential and preparing for its implementation.
1. Shift your mindset from &quot;what to automate&quot; to &quot;what to augment&quot; Identify Predictive Opportunities: Think about where historical data can predict future events. Can AI predict ticket volumes for staffing, incident categories for auto-routing, or potential service outages before they occur?
Augment Decision-Making: Consider how AI can provide recommendations to improve process efficiency and accuracy. For example, for a support agent, an ML-driven system could suggest the next best action or relevant knowledge article based on the incident description.
2. Focus on data quality and readiness
Prioritize Data Cleanup: Work with the architect to identify critical data inconsistencies or gaps. Explain how data is used and its impact on the process. AI/ML models are only as good as the data they are trained on, so data quality is paramount.
Document Data Lineage: Document where your process data comes from, how it's used, and who is responsible for it. This will help the architect design proper data pipelines and governance frameworks.
3. Collaborate on defining clear business outcomes
Define Success Metrics: Instead of focusing on a technical feature, articulate the desired business outcome. For example, rather than &quot;implement predictive intelligence,&quot; a better goal would be &quot;reduce the average time to resolve high-priority incidents by 15% using predictive routing&quot;.
Quantify the Impact: Work with the architect to provide quantitative data that will be used to build the business case. This includes ticket volumes, resolution times, costs, and user satisfaction metrics.
4. Prepare for an iterative approach
Embrace Change: AI/ML solutions are rarely &quot;set and forget.&quot; The models will need to be continuously trained and refined based on new data and feedback.
Provide Continuous Feedback: Your expertise as a Process SME is invaluable. Be prepared to provide feedback on the accuracy and performance of AI-powered features, acting as a crucial part of the feedback loop for model improvement.
5. Become an AI advocate for your process
Promote User Adoption: Be an internal champion for the new AI features within your teams. Help build confidence in the technology and educate end-users on how to interact with AI-powered features like virtual agents or recommendation systems.
Support Ethical Implementation: Help the architect ensure that the AI solutions for your process are fair, transparent, and do not introduce bias. You provide the critical human context that technical teams need to ensure responsible AI development.</div>

Servicenow Architect(Solution Architect)

<div>Job Summary: 
We are seeking a skilled ServiceNow Developer / Administrator with 4&ndash;6 years of hands-on experience to support an US client in enhancing and providing operational support. The candidate needs to be based in Bangalore, comfortable working from the office during evening shifts, and flexible to accommodate extended hours as per US customer demands. 
Key Responsibilities: 
Design, develop, configure, and administer solutions in the ServiceNow platform.
Handle day-to-day administration, support, and maintenance of ServiceNow modules.
Work on enhancements, customizations, and support during ServiceNow releases/upgrades.
Manage and resolve operational tickets and service requests related to ServiceNow.
Support core ServiceNow modules:
ITSM (Incident, Problem, Change, Request)
SPM (Strategic Portfolio Management / PPM)
ITAM (Software Asset Management, Hardware Asset Management, and Application Lifecycle Management)
Collaborate with cross-functional teams and stakeholders to gather requirements and deliver scalable ServiceNow solutions.
Participate in unit testing, UAT, and deployment of ServiceNow updates.
Provide timely support during and after business hours based on customer needs. 
Preferred Skills:
Strong hands-on experience with ServiceNow ITSM, SPM, and ITAM (SAM/HAM/ALM) modules.
Experience working on ServiceNow enhancements, platform upgrades, and release management.
Familiarity with GRC (Governance, Risk &amp; Compliance) and Employee Center is a strong plus.
Knowledge of scripting (JavaScript), workflows, UI Policies, and Business Rules in ServiceNow.
Understanding of integrations (REST/SOAP APIs) is an added advantage.
ITIL Foundation certification preferred. 
Other Requirements:
Willingness to work in evening shifts with flexibility to extend as per business needs.
Must be committed to working from the Bangalore office.
Strong communication and problem-solving skills.
Ability to work independently and in a team-oriented environment.</div>

ServiceNow Developer / Administrator

<div>Job Description:-
Your Mission as Salesforce Sr. CRM Analytics Developer As a Salesforce Sr. CRM Analytics Developer, you will drive digital innovation, leading critical technology initiatives with global teams. You&rsquo;ll design and implement solutions impacting millions worldwide, supporting Customer&rsquo;s vision for autonomous, electric, and connected vehicles.
Key Responsibilities
Technical Leadership &amp; Development<ul><li>Lead development and implementation using APEX Optimization and Best Practices, Azure DevOps, CRM Analytics, REST API Development, Salesforce Apex Development, Salesforce Community Cloud, Salesforce DevOps, Salesforce Einstein Analytics, Salesforce Flows and Process Builder, Salesforce LWC Framework, and Salesforce Platform Administration.</li><li>Design, build, and maintain scalable solutions supporting global operations.</li><li>Collaborate closely with USA stakeholders across product management and engineering.</li><li>Promote technical excellence through code reviews, architecture decisions, and best practices.</li></ul> 
Cross-Functional Collaboration<ul><li>Partner internationally using Microsoft Teams, Slack, SharePoint, and Azure DevOps.</li><li>Participate in Agile processes and sprint planning.</li><li>Share knowledge and maintain technical documentation across regions.</li><li>Support 24/7 operations through on-call rotations and incident management.</li></ul> 
Innovation &amp; Continuous Improvement<ul><li>Research emerging technologies to enhance platform capabilities.</li><li>Contribute to roadmap planning and architecture decisions.</li><li>Mentor junior team members and encourage knowledge sharing.</li></ul><ul><li> 
Salesforce Sr. Developer who will lead, and is comfortable working with CRM analytics, Einstein discovery, Aura Components, Aura to LWC, Experience Cloud Partner Portals; Automotive cloud nice to have.</li></ul> 
Professional Experience<ul><li>5+ years hands-on experience in software development, system administration, or related fields.</li><li>Deep expertise in APEX Optimization and Best Practices, Azure DevOps, CRM Analytics, REST API Development, Salesforce Apex Development, Salesforce Community Cloud, Salesforce DevOps, Salesforce Einstein Analytics, Salesforce Flows and Process Builder, Salesforce LWC Framework, and Salesforce Platform Administration with proven implementation success.</li><li>Experience collaborating with global teams across time zones.</li><li>Preferred industry knowledge in automotive, manufacturing, or enterprise software.</li></ul> 
Technical Proficiency<ul><li>Advanced skills in core technologies: APEX Optimization and Best Practices, Azure DevOps, CRM Analytics, REST API Development, Salesforce Apex Development, Salesforce Community Cloud, Salesforce DevOps, Salesforce Einstein Analytics, Salesforce Flows and Process Builder, Salesforce LWC Framework, and Salesforce Platform Administration.</li><li>Strong grasp of cloud platforms, DevOps, and CI/CD pipelines.</li><li>Experience with enterprise integration and microservices architecture.</li><li>Skilled in database design and optimization with SQL and NoSQL.</li></ul> 
Additional Qualifications<ul><li>Business-level English fluency.</li><li>Flexibility to collaborate across USA time zones.</li></ul></div>

Salesforce Sr. CRM Analytics Developer

<div>Your Mission as Salesforce Quality Assurance Engineer As a Salesforce Quality Assurance Engineer, you will drive digital innovation, leading critical technology initiatives with global teams. You&rsquo;ll design and implement solutions impacting millions worldwide, supporting Cusomer&rsquo;s vision for autonomous, electric, and connected vehicles.
Key Responsibilities
Technical Leadership &amp; Development<ul><li>Lead development and implementation using Azure DevOps, Quality Assurance, Quality Metrics, Salesforce Community Cloud, Salesforce Data Loader, Salesforce DevOps, Salesforce Platform Fundamentals, Salesforce Sales Cloud, and Salesforce Service Cloud.</li><li>Design, build, and maintain scalable solutions supporting global operations.</li><li>Collaborate closely with USA stakeholders across product management and engineering.</li><li>Promote technical excellence through code reviews, architecture decisions, and best practices.</li></ul> 
Cross-Functional Collaboration<ul><li>Partner internationally using Microsoft Teams, Slack, SharePoint, and Azure DevOps.</li><li>Participate in Agile processes and sprint planning.</li><li>Share knowledge and maintain technical documentation across regions.</li><li>Support 24/7 operations through on-call rotations and incident management.</li></ul> 
Innovation &amp; Continuous Improvement<ul><li>Research emerging technologies to enhance platform capabilities.</li><li>Contribute to roadmap planning and architecture decisions.</li><li>Mentor junior team members and encourage knowledge sharing.</li></ul> 
What You Bring to the Team
Professional Experience<ul><li>5+ years hands-on experience in software development, system administration, or related fields.</li><li>Deep expertise in Azure DevOps, Quality Assurance, Quality Metrics, Salesforce Community Cloud, Salesforce Data Loader, Salesforce DevOps, Salesforce Platform Fundamentals, Salesforce Sales Cloud, and Salesforce Service Cloud with proven implementation success.</li><li>Experience collaborating with global teams across time zones.</li><li>Preferred industry knowledge in automotive, manufacturing, or enterprise software.</li></ul> 
Technical Proficiency<ul><li>Advanced skills in core technologies: Azure DevOps, Quality Assurance, Quality Metrics, Salesforce Community Cloud, Salesforce Data Loader, Salesforce DevOps, Salesforce Platform Fundamentals, Salesforce Sales Cloud, and Salesforce Service Cloud.</li><li>Strong grasp of cloud platforms, DevOps, and CI/CD pipelines.</li><li>Experience with enterprise integration and microservices architecture.</li><li>Skilled in database design and optimization with SQL and NoSQL.</li></ul> 
Essential Soft Skills<ul><li>Analytical Thinking, Clear and Concise Writing, Communication Skills, Critical Thinking, Documentation Best Practices, Email etiquette, Presentation Skills, Problem Solving, Teamwork.</li><li>Excellent communication, able to explain complex technical topics.</li><li>Adaptable in multicultural, globally distributed teams.</li><li>Strong problem-solving abilities.</li></ul> 
Additional Qualifications<ul><li>Business-level English fluency.</li><li>Flexibility to collaborate across USA time zones.</li><li>Experienced QA who is comfortable testing in the Salesforce platform with Aura Components, Aura to LWC, Experience Cloud Partner Portals, Salesforce Sales Cloud, experience is a plus.</li></ul></div>

Salesforce Quality Assurance Engineer

<div>Job Description: 
Skills Required:
Data Science, Machine Learning, SQL, Python. 
Roles &amp; Responsibilities<ul><li>Investigate the feasibility of applying scientific and mathematical principles to real-world business problems.</li><li>Develop new algorithms and enhance existing ones to solve domain-specific challenges.</li></ul>
&bull; Build, train, and deploy machine learning models end-to-end. &bull; Collaborate with product and engineering teams to integrate models into production systems.<ul><li>Develop POCs and drive innovation by exploring emerging technologies and methodologies.</li><li>Work with cross-functional teams (Data Engineering, Advisory, Product) to identify opportunities and implement process improvements,</li></ul> 
Mandatory Skills &amp; Experience<ul><li>Machine Learning &ndash; Hands-on experience building at least one ML model independently (end-to-end).</li><li>Programming &ndash; Strong skills in Python and SQL (PySpark experience is a plus).</li></ul>
&bull; Strong problem-solving, analytical thinking, and ability to translate business needs into data-driven solutions. &bull; Good communication and collaboration skill</div>

Data Science

<div>Minimum Qualification<ul><li>
Bachelor&rsquo;s degree in Computer Science, Information Technology, or a related field. Master&rsquo;s degree is preferred.</li></ul> 
 Minimum Experience<ul><li>
5+ years of experience in Data Engineering.</li><li>
Extensive Knowledge of SQL, Azure Data Factory, Data Bricks, MS Synapse, Python, or other relevant Tools (Informatica, Data Services, etc.)</li><li>
Knowledge of developing real-time and close-to-real-time data integrations by using Kafka, MS Event Hubs, etc.</li><li>
Experience developing Business Intelligence Dashboards and Data Models (PowerBI / Azure SQL / Azure Synapse or similar)</li></ul></div>

Data Engineer

Join TESTQ TECHNOLOGIES LTD and explore 7   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.