Qureos Mentor

Zensar Technologies

<div>
 <p>
  Project Manager-
 </p>
 <p>
  Must have- Banking Domain experience
 </p>
 <p>
  Location- Mumbai (Work from office)
 </p>
 <p>
  Lead and manage end-to-end IT projects, ensuring they are delivered on time, within scope, and within budget.
 </p>
 <p>
  Define project scope, objectives, and success criteria in collaboration with stakeholders and technical teams.
 </p>
 <p>
  Develop detailed project plans, timelines, budgets, and resource allocation strategies.
 </p>
 <p>
  Coordinate internal team members and third-party contractors or vendors for flawless execution of projects.
 </p>
 <p>
  Track project performance using appropriate tools and techniques; report and escalate issues as needed.
 </p>
 <p>
  Manage project risks and issues, developing mitigation and contingency plans when necessary.
 </p>
 <p>
  Conduct regular status meetings and communicate project progress, risks, and changes clearly to all stakeholders.
 </p>
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  Drive adoption of Agile, Scrum, or Waterfall methodologies depending on project requirements.
 </p>
 <p>
  Facilitate cross-functional collaboration and maintain open communication across teams.
 </p>
 <p>
  Ensure all project documentation is maintained and archived according to compliance and audit standards.
 </p>
 <p>
  Monitor project deliverables to ensure they meet quality standards and align with business goals.
 </p>
 <p>
  Support change management efforts and help teams adapt to new systems or processes introduced by the project.
 </p>
 <p>
  Conduct post-project evaluations and lessons-learned sessions to identify areas of improvement.
 </p>
 <p>
  Stay updated with emerging IT trends, tools, and best practices to enhance project outcomes.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Qualifications:
 </p>
 <p>
  Bachelor&rsquo;s/Masters degree in Information Technology, Computer Science, Business, or related field.
 </p>
 <p>
  Minimum 8-10 years of experience in IT project management or a related role.
 </p>
 <p>
  Strong understanding of IT systems, software development lifecycles (SDLC), and infrastructure.
 </p>
 <p>
  Proven ability to manage multiple projects simultaneously in a fast-paced environment.
 </p>
 <p>
  Experience with project management tools such as Microsoft Project, Jira or Trello.
 </p>
 <p>
  Excellent leadership, communication, time management, and problem-solving skills.
 </p>
 <p>
  Ability to manage stakeholder expectations and resolve conflicts effectively.
 </p>
 <p>
  Familiarity with Agile, Scrum, and Waterfall project methodologies.
 </p>
 <p>
  PMP, PRINCE2, or Agile certification is preferred.
 </p>
</div>


Project Manager

<div>
 <p>
  <strong>
   MLOps / ML Architect &ndash;
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Location : Bangalore/Hyderabad/Pune
 </p>
 <p>
  Notice Period: Immediate / 20 Days
 </p>
 <p>
  Work mode: Hybrid
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   14 &ndash; 16 years of total experience, 3 &ndash; 5 years of relevant experience on Sagemaker AI
  </li>
  <li>
   Hands on experience of the following &ndash;
  </li>
  <li>
   Structure a ML system (batch, real-time, or LLM) as modular ML pipelines that can be independently developed, tested, and operated
  </li>
  <li>
   Ensure the consistency of feature data between offline training and online operations
  </li>
  <li>
   Govern data in a feature store and promote collaboration between teams with a feature store
  </li>
  <li>
   Implement MLOps principles of automated testing, versioning, and monitoring of features and models.
  </li>
  <li>
   The modeling skills required for ML:
  </li>
  <li>
   How to train ML models from (time-series) tabular data in a feature store
  </li>
  <li>
   How to personalize LLMs using fine-tuning and RAG
  </li>
  <li>
   How to validate models using evaluation data from a feature store
  </li>
  <li>
   Identify and develop reusable model-independent features
  </li>
  <li>
   Identify and develop model-dependent features
  </li>
  <li>
   Identify and develop on-demand (real-time) features
  </li>
  <li>
   validate feature data, test feature functions and test ML pipelines
  </li>
  <li>
   Schedule feature pipelines and batch inference pipelines
  </li>
  <li>
   Deploy real-time models, connected to a feature store
  </li>
  <li>
   Log and monitor features and models with a feature store
  </li>
  <li>
   Develop user-interfaces to ML systems
  </li>
 </ul>
 <p>
 </p>
</div>


ML Architect

<div>
 <p>
  <strong>
   Java Full Stack Developer
  </strong>
 </p>
 <p>
  <strong>
   Experience- 7 - 12 years
  </strong>
 </p>
 <p>
  Location: Pune/ Bangalore/ Hyderbad/ Chennai/ Kolkata
 </p>
 <p>
  <strong>
   Primary Skill :
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Java
   </strong>
  </li>
  <li>
   <strong>
    Microservices
   </strong>
  </li>
  <li>
   <strong>
    Spring Boot
   </strong>
  </li>
  <li>
   <strong>
    Frontend - Angular/React
   </strong>
  </li>
  <li>
   <strong>
    RestAPI&rsquo;s
   </strong>
  </li>
  <li>
   <strong>
    Middleware &ndash; Kafka / Rabbit MQ
   </strong>
  </li>
  <li>
   <strong>
    Database &ndash; PostgreSQL / SQL Server
   </strong>
  </li>
  <li>
   <strong>
    Design Patterns
   </strong>
  </li>
  <li>
   <strong>
    AWS
   </strong>
  </li>
  <li>
   <strong>
    Good To have Containerization using Docker and Kubernetes
   </strong>
  </li>
 </ul>
 <p>
  Job Description:
 </p>
 <ul>
  <li>
   6+ years&rsquo; experience in client/server and n-tier development principles including understanding of Object-Oriented modeling, analysis, design, and programming.
  </li>
  <li>
   5+ years&rsquo; experience with Java development experience including Spring Boot, Spring Framework, JPA/Hibernate, Rabbit MQ, Redis, Elastic, Kafka, PostgreSQL, and SQL Server
  </li>
  <li>
   4+ years&rsquo; experience with UI/UX technologies including AngularJS / ReactJS.
  </li>
  <li>
   4+ years&rsquo; experience with the full software design life cycle.
  </li>
  <li>
   5+ years&rsquo; experience documentation skills to translate requirements into specifications for program objects, functions, and systems.
  </li>
  <li>
   4 years&rsquo; experience estimating cost, effort, and duration of product deliverables of high complexity.
  </li>
  <li>
   5+ years&rsquo; experience analyzing technical problems and delivering solutions of high risk.
  </li>
  <li>
   4 years&rsquo; experience programming in targeted languages and utilities for the distributed environments
  </li>
  <li>
   4+ years&rsquo; experience with quality assurance and testing procedures, processes and techniques employed within areas of technical specialty.
  </li>
  <li>
   4 years&rsquo; experience with concepts, tools and processes used for estimating, tracking, managing, and reporting work.
  </li>
  <li>
   1+ years&rsquo; experience training, mentoring and share knowledge in both individual and group settings.
  </li>
 </ul>
 <p>
 </p>
</div>


Java Full Stack Developer

<div><div><div><b>What's this role about?<br>
</b></div><div></div><br>
<div><b>Here's how you'll contribute:
</b> </div><div></div><div>You'll do this by:<br>
 </div><div></div><br>
<div>Core Skills:<br>
 </div><div></div><br>
<div>Desired Skills:<br>
</div><div></div><br>
<div><b>How we&rsquo;d like you to lead:<br>
</b></div><div></div><br>
<div><b>Advantage Zensar
</b></div><div>We are a technology consulting and services company with 11, 800+ associates in 33 global locations. More than 130 leading enterprises depend on our expertise to be more disruptive, agile and competitive. We focus on conceptualizing, designing, engineering, marketing, and managing digital products and experiences for high-growth companies looking to disrupt through innovation and velocity.<br>
</div><div></div><br>
<div>Zensar Technologies is an Equal Employment Opportunity (EEO) and Affirmative Action Employer, encouraging diversity in the workplace. Please be assured that we will consider all qualified applicants fairly, regardless of race, creed, color, ancestry, religion, sex, national origin, citizen status, age, sexual orientation, gender identity, disability, marital status, family medical leave status, or protected veterans&rsquo; status.<br>
</div><div></div><br>
<div>Zensar is a place where you are free to express yourself in an environment that values individuality, nurtures development and is mindful of wellbeing. We put our people and customers at the center of everything that we do. Our core values include:<br>
</div><div></div><br>
<div><ul><li>Putting people first
</li><li>Client-centricity
</li><li>Collaboration
</li></ul><div>Grow. Own. Achieve. Learn. with Zensar</div></div></div></div>

Guidewire Data Analyst

<div><div>Education and Certification - Required:
<br>
<ul><li>University degree in human resources, business administration, information technology, computer science or a related field.
</li><li>Oracle Fusion HCM related certification(s)
</li><li>Prince 2 or ITIL certification
</li><li>PeopleSoft certification(s)
</li></ul></div><div>Skills Set - Required:
<br>
<ul><li>Strong functional knowledge including the following Oracle Fusion HCM modules:
</li></ul>Core HR, Workforce Lifecycle Management, Compensation (ICP), Goal &amp; Performance, Benefits, Security
<br>
<ul><li>Designing PaaS extensions.
</li><li>Experience with HCM Extracts, HDL Loader, Workflow, Personalization, integration patterns relevant to Oracle Fusion, etc.
</li><li>Experience with Oracle Business reporting capabilities.
</li><li>Excellent communication and interpersonal skills.
</li><li>Strong analytical and problem-solving abilities
</li><li>Ability to manage multiple priorities in a high-pressure environment.
</li><li>Team player with a collaborative mindset
</li></ul></div><div>Skills Set - Desirable:
<br>
<ul><li>Functional knowledge of the following modules: Absence management, Payroll
</li></ul></div><div>Experience - Required:
<br>
<ul><li>Minimum 10 years of professional experience in ERP systems within HCM domain.
</li><li>At least 5 years of hands-on experience implementing or supporting Oracle Fusion HCM modules.
</li><li>Has implemented at least one end to end Fusion HCM implementation OR supporting and managing quarterly upgrade cycles.
</li><li>Experience working with multiple Fusion HCM modules including Core HR, Workforce Lifecycle Management, Compensation (ICP), Goal &amp; Performance, Benefits, Security.
</li><li>Strong background in facilitating requirement gathering workshops and solution design sessions with business stakeholders.
</li><li>Experience in post-implementation support and continuous improvement initiatives.
</li><li>Experience working on data migration activities, such as mapping, cleansing, validation, and troubleshooting.
</li></ul></div><div>Experience -Desirable:
<br>
<ul><li>Prior experience working with United Nations organizations or international organizations.
</li><li>Hands-on functional experience in cloud migration projects from Oracle PeopleSoft to Oracle Fusion HCM.
</li><li>Knowledge of Oracle implementation methodologies (e.g., Oracle Unified Method)
</li></ul></div><p>Objective of the assignment:
<br>
The Organization is transforming its administrative and support operations through Oracle Cloud Applications, as part of the Transformation Project.
</p><p>Org&rsquo;s Administrative Integrated Management System (AIMS), built on Oracle PeopleSoft in the early 2000s, has long supported administrative, financial, and HR processes. To meet evolving needs, the system is being modernized for greater efficiency, transparency, and scalability.
<br>
The AIMS Transformation Project is a business-driven initiative aimed at delivering a cloud-first, streamlined, and scalable ERP environment that enhances operational efficiency, data transparency, and service delivery across ORG.
</p><p>(ORG) is undertaking a transformative journey to modernize its administrative and support operations through the deployment of Oracle Fusion Applications, as part of the Administrative Integrated Management System (AIMS) Transformation Project.
</p><p>AIMS was launched in the early 2000s using Oracle PeopleSoft application and has been the backbone of ORG&rsquo;s administrative, financial, and human resources processes for over two decades. In response to evolving operational needs and technological advancements, ORG is now shifting to a more efficient, transparent, and scalable ERP environment.
</p><p>The AIMS Transformation Project is a business-led initiative designed to deliver a cloud-first solution that drives streamlined processes, enhances data visibility, and improves service delivery across the Organization.
</p><p>The AIMS transformation project is led by ORG&rsquo;s Enterprise Solution Division (ESD), working closely with the implementation partner, Oracle Consulting. To support implementation and stabilization of Oracle Fusion HCM modules, ESD is seeking an experienced Fusion HCM Senior Functional Analyst to assist in the implementation, post-go-live support of Oracle Fusion HCM modules and ensuring the delivery of high-quality, scalable, and future-ready solution.
</p><p>Objective of the assignment:
<br>
The objective of the Fusion HCM Senior Functional Analyst assignment is to ensure the successful delivery and stabilization of Oracle Fusion Human Capital Management (HCM) modules within ORG&rsquo;s ERP Transformation initiative. This includes providing expert functional guidance, aligning solution design with business requirements, and supporting seamless implementation across all phases of the project. The Analyst will work in close collaboration with internal technical teams, business stakeholders, and ORG&rsquo;s implementation partner to deliver a fit-for-purpose, scalable solution that drives operational excellence and long-term value.
</p><div>Tasks:
<br>
<ul><li>Act as the HCM functional expert in the AIMS transformation project.
</li><li>Collaborate with HR, Payroll, Budget and other business units to analyze and validate existing HR business processes and functional requirements.
</li><li>Identify opportunities to streamline business processes and maximize the use of standard Oracle Fusion HCM functionalities.
</li><li>HCM Solution design validation and configuration oversight, ensuring they meet defined business needs, prioritizing standard functionality over legacy customizations.
</li><li>Prepare functional design documents for reports, integrations, and PaaS extensions.
</li><li>Develop and execute test scripts, contribute to functional testing activities, including system integration and User Acceptance Testing. Analyze and troubleshoot identified defects, collaborate with technical team to resolve functional issues.
</li><li>Assist with Data Migration activities, provide functional expertise in data mapping, cleansing, validation, and issue resolution during migration phases.
</li><li>Support go-live readiness and post-deployment stabilization efforts by resolving functional issues, handling change requests and advising on upgrades.
</li><li>Provide guidance and mentorship to internal team members on Fusion HCM functionality and best practices.</li></ul></div></div>

FUSION_HCM_SENIOR_FUNCTIONAL_ANALYST - RFX-648

<div><p>An Artificial Intelligence (AI) job description typically outlines the responsibilities and required skills for professionals working in the field of AI. These roles involve developing, implementing, and managing AI systems, often focusing on machine learning , data analysis, and algorithm development. AI engineers, specialists, and researchers are common titles, each with specific focuses within the broader AI landscape.
</p><p>Key Responsibilities:
</p><ul><li><b>AI Model Development </b><b>:
</b></li></ul><p>Designing, building, and training AI models and algorithms, often using machine learning techniques.
</p><ul><li><b>Data Analysis and Interpretation:
</b></li></ul><p>Extracting insights from large datasets using data analysis and interpretation skills.
</p><ul><li><b>Algorithm Implementation </b><b>:
</b></li></ul><p>Applying algorithms to solve complex problems, leveraging knowledge of probability, logic, and machine learning.
</p><ul><li><b>System Development and Optimization:
</b></li></ul><p>Building and optimizing AI systems to improve performance and address specific business needs.
</p><ul><li><b>Collaboration </b><b>:
</b></li></ul><p>Working with cross-functional teams to develop and implement AI solutions.
</p><ul><li><b>Research and Innovation:
</b></li></ul><p>Staying up-to-date on the latest AI advancements and contributing to research efforts.
</p><p>Required Skills:
</p><ul><li><b>Programming Languages:
</b></li></ul><p>Proficiency in languages like Python, Java, or C++ is crucial for AI development.
</p><ul><li><b>Machine Learning </b><b>:
</b></li></ul><p>A strong understanding of machine learning algorithms, model training, and evaluation.
</p><ul><li><b>Data Science:
</b></li></ul><p>Knowledge of data analysis, data manipulation, and statistical methods is essential.
</p><ul><li><b>Problem-Solving:
</b></li></ul><p>The ability to analyze complex problems and develop innovative solutions using AI techniques.
</p><ul><li><b>Communication:
</b></li></ul><p>Effective communication skills are necessary for collaborating with teams and presenting findings.
</p><p>Examples of AI Job Titles and Roles:
</p><ul><li><b>AI Engineer </b><b>: </b>Focuses on the technical aspects of building and deploying AI systems.
</li><li><b>AI Specialist </b><b>: </b>May be involved in both development and strategic implementation of AI solutions.
</li><li><b>AI Researcher </b><b>: </b>Contributes to the advancement of AI knowledge and technologies.
</li><li><b>Head of AI </b><b>: </b>Leads AI strategy, research teams, and enterprise adoption.
</li><li><b>Data Scientist </b><b>: </b>Focuses on data analysis, modeling, and interpretation, often with an AI component.
</li></ul><p>Additional Information:
</p><ul><li><b>Education:
</b></li></ul><p>A bachelor's or master's degree in computer science, mathematics, statistics, or a related field is often required.
</p><ul><li><b>Experience:
</b></li></ul><p>Experience with machine learning frameworks, cloud platforms, and AI development tools is often preferred.
</p><ul><li><b>Industry Variations:
</b></li></ul><p>AI applications vary across industries, including healthcare, marketing, and manufacturing.</p></div><p></p>

Generative AI Application Developers

<div><p>Location: Hyderabad, Noida, Gurugram
</p><p><b>About the Role
</b></p><p>We are seeking a highly experienced and passionate Data Engineer to join our growing data team. As a Senior Data Engineer, you will be responsible for designing, developing, and maintaining our robust data infrastructure, ensuring data quality, availability, and scalability. You will play a critical role in empowering our data-driven decision-making by building and optimizing data pipelines, ETL processes, and data warehousing solutions. This is a senior-level position requiring extensive experience with database technologies, data modelling, and cloud platforms.
</p><p><b>Responsibilities:
</b></p><ul><li><b>Data Pipeline Development &amp; Maintenance: </b>Design, build, and maintain end-to-end data pipelines for ingesting, processing, and transforming large datasets from various sources (e.g., relational databases, APIs, flat files, streaming data).
</li><li><b>ETL/ELT Process Optimization: </b>Develop and optimize ETL/ELT processes using industry-standard tools and techniques, ensuring data accuracy, efficiency, and scalability.
</li><li><b>Database Design &amp; Management: </b>Design, implement, and manage relational databases, including schema design, indexing, performance tuning, and data governance.
</li><li><b>Data Warehousing: </b>Design and implement data warehousing solutions to support business intelligence and reporting needs. Experience with star schema, snowflake schema, and other data modelling techniques is essential.
</li><li><b>Database Administration: </b>Perform database administration tasks, including performance monitoring, capacity planning, backup and recovery, and security management.
</li><li><b>Data Quality &amp; Governance: </b>Implement data quality checks, validation rules, and data governance policies to ensure data accuracy and consistency.
</li><li><b>Cloud Platform Expertise: </b>Leverage cloud platforms (e.g., AWS, Azure, GCP) for data storage, processing, and management.
</li><li><b>Collaboration &amp; Communication: </b>Collaborate with cross-functional teams (e.g., data scientists, business analysts, software engineers) to understand data requirements and deliver effective data solutions. Clearly communicate technical concepts to both technical and non-technical audiences.
</li><li><b>Mentoring &amp; Knowledge Sharing: </b>Mentor junior engineers and share knowledge and best practices within the team.
</li><li><b>Automation &amp; Scripting: </b>Automate data engineering tasks using scripting languages (e.g., Python, Bash).
</li><li><b>Stay Up to Date: </b>Continuously research and evaluate new data technologies and techniques to improve our data infrastructure.
</li><li><b>Production Support: </b>Monitoring the batch/jobs daily, no matter it&rsquo;s weekdays or weekend.
</li><li><b>Production Release: </b>Actively participation in release process.
</li></ul><p><b>Qualifications:
</b></p><ul><li><b>Experience: </b>Minimum of 10 years of experience as a Data Engineer or in a similar role.
</li><li><b>Database Expertise:
</b><ul><li><b>Expert proficiency in SQL Server: </b>Extensive experience with SQL Server, including database design, performance tuning, query optimization, and database administration.
</li><li><b>Expert proficiency in PostgreSQL: </b>Deep understanding of PostgreSQL, including database design, performance tuning, query optimization, and database administration.
</li><li>Solid experience with other relational databases like MySQL, Oracle, etc. is a plus.
</li></ul></li><li><b>ETL/ELT Tools: </b>Proven experience with ETL/ELT tools (e.g., Apache Airflow, Informatica, Talend, SSIS, ADF etc.).
</li><li><b>Data Modelling: </b>Strong understanding of data modelling principles and techniques (e.g., dimensional modelling, star schema, snowflake schema).
</li><li><b>Cloud Computing: </b>Experience with cloud platforms (AWS, Azure, or GCP) and related data services (e.g., S3, Redshift, Snowflake, Azure Data Lake Storage).
</li><li><b>Programming &amp; Scripting: </b>Proficiency in scripting languages such as Python, Bash, or similar.
</li><li><b>Data Governance &amp; Quality: </b>Experience implementing data quality checks, data governance policies, and data validation rules.
</li><li><b>Problem-Solving &amp; Analytical Skills: </b>Excellent problem-solving and analytical skills with the ability to identify and resolve complex data-related issues.
</li><li><b>Communication &amp; Collaboration: </b>Excellent communication, collaboration, and interpersonal skills. Ability to work effectively in a team environment.
</li><li><b>Education: </b>Bachelor&rsquo;s or master&rsquo;s degree in computer science, Information Technology, or a related field.
</li></ul><p><b>Bonus Points:
</b></p><ul><li>Experience with data streaming technologies (e.g., Kafka, Spark Streaming).
</li><li>Experience with data visualization tools (e.g., Tableau, Power BI, Looker).
</li><li>Relevant certifications (e.g., AWS Certified Data Engineer, Microsoft Certified: Azure Data Engineer Associate).</li></ul></div>

DE&A - Core - Cloud Data Engineering - Snowflake Data Engineering

Join Zensar Technologies 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.