Qureos Mentor

Quantiphi

<div><div>While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.<br>
<br>
If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!</div><div>
Job Description:</div><div></div><div>
Skills Required :Privacy impact assessments, Risk assessment, Data Privacy, Data Protection</div><div>
Location :Mumbai</div><div>
Education/Qualification : BE or B.Tech</div><div>
Desirable Skills : CIPP-E, CIPT, Governance, Risk, Monitoring Tools, Monitoring, privacy</div><div>
Years Of Exp :0.5 to 2 years</div><ul><li><div>
Establishes, defines, and reports privacy KPIs via scorecard and drive performance in partnership with business, Global Privacy team.</div></li><li><div>
Align Quantiphi privacy monitoring program with the global privacy program monitoring framework.</div></li><li><div>
Conduct Data Privacy Impact Assessments and Privacy by Design Assessments.</div></li><li><div>
Support in relevant data privacy related documentation including records of processing activities (ROPA), data flow diagrams (DFD), data processing agreements etc.</div></li><li><div>
Creation of test strategies to verify controls and confirm compliance with applicable privacy laws.</div></li><li><div>
Updates DPO on program progress, gaps, and strategies. Identify key controls for review topics and areas of improvement in local practices related to data privacy and have a working knowledge of global privacy laws.</div></li><li><div>
Work with multi-disciplinary teams and collaborate with business, subject matter experts and delivery teams to develop strategic business solutions.</div></li><li><div>
Support and guide the data team to employ methods of statistical disclosure controls to mitigate the privacy risks associated with the public disclosure of development data.</div></li><li><div>
Be the functional point of contact between development and business teams and document specifications for requirements and oversee privacy by design and default.</div></li><li><div>
Collaborate with different stakeholders to perform regular privacy assessments of data, operational processes; and to identify and mitigate risks through effective tools, training and guidance.</div></li><li><div>
Should be able to appropriately monitor, audit, and compliance.</div></li><li><div>
Evaluate/test different privacy-preserving techniques for operational effectiveness differential privacy, data de-identification, privacy statistical properties of data sets (k-anonymity, l-diversity), etc. and act as a monitoring and testing administrator.</div></li><li><div>
Research, build and maintain tooling for testing and continuous monitoring of privacy controls across multiple cloud platforms including AWS, Google etc.</div></li><li><div>
Work in collaboration with Data Architect and provide required business/functional inputs that helps to embedded privacy by design.</div></li></ul><div></div><div>
Qualifications and Experience:</div><div></div><ul><li><div>
Bachelor's degree in law, or information technology with a minimum 6month to 2 years&rsquo; experience working AI-ML/Technology/Product/ IT organization sector in large organizations.</div></li><li><div>
Working knowledge of industry standard risk, governance and security standard methodologies</div></li><li><div>
Experience in risk assessments/privacy impact assessments(PIAs), testing and monitoring controls</div></li><li><div>
Process &amp; Technical understanding of privacy best practices and challenges with coding ability</div></li><li><div>
Knowledge of ISO27701 (PIMS), ISO27001 (ISMS), SOC and PCI DSS standards.</div></li><li><div>
Knowledge of data protection and privacy laws of India, and other international laws such as EU GDPR, North America would be preferred.</div></li><li><div>
Experience in data protection &amp; data security measures (encryption, anonymization etc.)</div></li><li><div>
Professional credentials such as CISA, CISSP</div></li><li><div>
Ability to work cross-functionally, build strong relationships and partner effectively with others to address issues</div></li><li><div>
Strong organizational and time management skills</div></li><li><div>
Ability to manage competing priorities in a fast-paced environment</div></li><li><div>
Self-starter and able to work independently with minimal supervision</div></li><li><div>
Experience to operate within an international environment with a diversity of cultures</div></li><li><div>
Fluent in English, both verbally and in writing</div></li></ul><div></div><div><div><div><div><div><div><div><div><i>
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us</i><i>!</i></div></div></div></div></div></div></div></div></div><div></div>

Information Security Analyst

<div><div>While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.<br>
<br>
If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!</div><div>
Role: Architect - Product Software Development</div><div>
Experience Level: 8years and above</div><div>
Work location: Mumbai, Bangalore &amp; Trivandrum</div><div></div><div>
Role &amp; Responsibilities:<br>
The Software Development Architect will be a key member of the team responsible for designing and implementing high-performance, scalable web applications and platforms. The ideal candidate will have 10+ years of experience in the industry and a strong background in technologies such as ReactJS, NodeJS, Python, and Postgres. We are looking for a Software Development Architect who is motivated to combine the art of design with programming. Responsibilities will include translating the UI/UX design wireframes to actual code that will produce visual elements of the application. You will work with the UI/UX designer and bridge the gap between graphical design and technical implementation, taking an active role on both sides and defining how the application looks as well as how it works.</div><ul><li>
System Design &amp; Architecture: Design and implement scalable, high-performance, and fault-tolerant architectures using cloud-native best practices.</li><li><div>
Technical Leadership: Provide hands-on expertise in React, Python, and Node.js, driving engineering best practices and high-quality code.</div></li><li><div>
Cloud &amp; Infrastructure: Architect, deploy, and manage cloud-based solutions (AWS/GCP/Azure) with strong expertise in Docker, Kubernetes, and microservices.<br>
Engineering Management: Lead, mentor, and grow a high-performing engineering team, fostering a culture of innovation, ownership, and accountability. Proficiency in using JIRA, Git, Confluence is expected.</div></li><li><div>
Cross-Team Collaboration: Work closely with product, design, and business teams to ensure technical solutions align with business objectives.</div></li><li><div>
Hands-on Development &amp; DevOps: Actively participate in coding, code reviews, and CI/CD pipeline optimization, ensuring smooth deployment processes.</div></li><li><div>
UI/UX &amp; Leadership Collaboration: Partner with leadership and design teams to drive UI/UX improvements, ensuring seamless user experiences and effective team collaboration.<br>
Scalable APIs &amp; Performance Optimization: Design and optimize scalable REST/gRPC services, handle WebSockets for real-time communication, and manage databases (SQL/NoSQL) with Redis caching for high availability and low-latency performance.</div></li></ul><div>
Must have skills:</div><ul><li><div>
Ensure compliance of best practices and policies in software development</div></li><li><div>
Closely monitor code quality during implementation and be responsible for code reviews and deliverables</div></li><li><div>
Expert-level understanding of software development design patterns</div></li><li><div>
Experience in Architecting large scale web/mobile/desktop microservices based/monolithic applications</div></li><li><div>
Proficiency in one or more backend technologies (Node / Python / Java)</div></li><li><div>
Proficiency in one or more modern frontend technologies ( Angular 8+ / React / Vue )</div></li><li><div>
Proficiency with databases including data modeling and query optimization (eg MySQL, Postgres, MongoDB, DynamoDB)</div></li><li><div>
Hands on experience with WebAPI and Restful Web Services</div></li><li><div>
Proficient understanding of cross-browser compatibility issues and ways to work around them.</div></li><li><div>
Design and construction of REST API/gRPC and its security.</div></li><li><div>
Proven ability to develop and ship high quality software products in Agile development.</div></li><li><div>
Accountable for end-to-end delivery of software</div></li><li><div>
Proficient understanding of web markup, including HTML5, CSS3</div></li><li><div>
Proficient understanding of code versioning tools preferably Git.</div></li><li><div>
Good understanding of SEO principles and ensuring that application will adhere to them.</div></li></ul><div></div><div><div><div><div><div><div><div><div><i>
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us</i><i>!</i></div></div></div></div></div></div></div></div></div><div></div>

Architect - Product Software Development

<div><div>While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.<br>
<br>
If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!</div><div>
Experience: 5+ years</div><div></div><div>
Role:</div><div></div><div>
We are looking for an experienced GCP Data Engineer with strong expertise in marketing analytics, data modeling, and pipeline development. The ideal candidate will have hands-on experience with Google Marketing Platform (GMP) products, deep understanding of conversion and attribution data, and proven ability to design and implement scalable data architectures supporting marketing dashboards and analytics use cases in the airline/travel industry.</div><div></div><div>
Key Responsibilities:</div><ul><li><div>
Design and implement end-to-end data pipelines using BigQuery, Dataflow, Pub/Sub, Cloud Storage, and Composer for both batch and streaming data ingestion.</div></li><li><div>
Build and maintain data models to support marketing, campaign performance, and user journey analytics.</div></li><li><div>
Integrate data from Google Ads, Campaign Manager 360 (CM360), Display &amp; Video 360 (DV360), Search Ads 360, Google Analytics 4.</div></li><li><div>
Develop and operationalize ETL/ELT pipelines to ensure data quality, scalability, and reliability.</div></li><li><div>
Collaborate with marketing, data science, and analytics teams to design and support marketing dashboards in Tableau, Looker, Data Studio, or Power BI.</div></li><li><div>
Implement and manage CI/CD pipelines for automated deployment of data workflows.</div></li><li><div>
Ensure data privacy, security, and compliance with organizational and regulatory requirements.</div></li><li><div>
Support identity resolution and conversion attribution modeling to improve marketing ROI and customer insights.</div></li><li><div>
Work with Vertex AI and Python to operationalize machine learning models where applicable.</div></li><li><div>
Define and maintain best practices for marketing data architecture, including governance, metadata, and lineage.</div></li></ul><div></div><div>
Required Skills &amp; Experience:</div><ul><li><div>
Strong proficiency in Google Cloud Platform (GCP) &ndash; BigQuery, Dataflow, Pub/Sub, Cloud Composer, and Cloud Storage, Firebase</div></li><li><div>
Expertise in marketing and advertising data sources: Google Ads, CM360, DV360, SA360, GA4, Firebase.</div></li><li><div>
Solid understanding of marketing data concepts &ndash; conversions, attribution, user journey tracking, and ID resolution.</div></li><li><div>
Experience in data modeling and pipeline development (batch &amp; streaming).</div></li><li><div>
Hands-on experience in SQL and Python for data processing and analysis.</div></li><li><div>
Familiarity with BI dashboards (Tableau, Looker, Power BI, Data Studio).</div></li><li><div>
Knowledge of Vertex AI for integrating ML components within data workflows.</div></li><li><div>
Experience with CI/CD tools (e.g., Cloud Build, GitHub Actions, Jenkins).</div></li><li><div>
Airline or travel industry experience preferred.</div></li></ul><div></div><div>
Education &amp; Certifications:</div><ul><li><div>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Engineering, Information Systems, or related field.</div></li><li><div>
GCP certification (e.g., Professional Data Engineer, Cloud Architect) is a plus.</div></li></ul><div><div><div><div><div><div><div><div><i>
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us</i><i>!</i></div></div></div></div></div></div></div></div></div><div></div>

Senior Data Engineer - Marketing Analytics

<div>
 <p>
  <strong>
   Designation:
  </strong>
  Senior Data Scientist
 </p>
 <p>
  <strong>
   Experience level:
  </strong>
  8 to 15 years
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Skills - Required:
  </strong>
 </p>
 <ul>
  <li>
   Knowledge of statistical modelling and popular machine learning models.
  </li>
  <li>
   Good analytical skills, with expertise in analytical tool-kits such as Logistic Regression, Cluster Analysis, Factor Analysis, Multivariate Regression, Statistical modelling, predictive analysis.
  </li>
  <li>
   Hands-on with Python/R programming and knowledge of machine learning tools like Scikit-Learn, Pandas, TensorFlow, Pytorch, Keras, OpenCV, XGBoost etc.
  </li>
  <li>
   Computer Vision: Image pre-processing, image matching/comparison using SIFT/SURF/ORB, Object detection (Faster RCNN, YOLO, SSD, etc.), Image similarity (Siamese network), Image classification.
  </li>
  <li>
   NLP: Vector Space modelling in NLP, LSTMS, Sequence modelling, Attention modelling, BERT, Transformers. Using the abovementioned techniques performing Document classification, Semantic similarity, NER, Sentiment Analysis.
  </li>
  <li>
   Time Series Analysis using ARIMA, SARIMA, LSTMs, etc.
  </li>
  <li>
   Feature engineering, Feature selection/Feature importance, Dimensionality.
  </li>
  <li>
   Reduction (PCA, etc.), Hyperparameter tuning, Ensembling techniques like Bagging, Boosting, Stacking.
  </li>
  <li>
   Should possess knowledge of multiple cloud platforms (GCP-Preferable, Azure or AWS) and machine learning services offered by them.
  </li>
  <li>
   Critical eye for the quality of data and strong desire to get it right.
  </li>
  <li>
   A pleasantly forceful personality and charismatic communication style.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Skills - Nice to Have:
  </strong>
 </p>
 <ul>
  <li>
   Experience in building end to end machine learning pipelines, deployment using any ML Ops Framework (Kube Flow Pipelines, Vertex AI), model performance monitoring, CI/CD.
  </li>
  <li>
   Experience in GCP based ML solutions and services like Contact Centre AI, Vertex AI, Document AI, Speech-to-Text, Text-to Speech, Natural Language, Dialog Flow, AutoML, Vision, Video Intelligence, Base OCR, Form Parser, Invoice Parser, etc.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Your Job will require:
  </strong>
 </p>
 <ul>
  <li>
   Ability to multitask and work on multiple engagements related to different domains.
  </li>
  <li>
   Be able to pick up newer technologies in a short span of time
  </li>
  <li>
   Work in a highly collaborative environment by interacting with the stakeholders and various IT teams within the company to facilitate design and development of ML/AI solutions.
  </li>
  <li>
   Be responsible for the successful delivery of all allocated projects with respect to schedule, quality and customer satisfaction.
  </li>
  <li>
   Follow Agile standards and methodologies in all phases of the project.
  </li>
  <li>
   Ensure excellence in delivery to customers
  </li>
  <li>
   Self-driven individuals with a passion for research and development and the zest for solving what matters.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What&rsquo;s in it for you?
  </strong>
 </p>
 <ul>
  <li>
   The experience of working in a category defining high growth start-ups in the transformational AI, Decision Science and Big Data Domain.
  </li>
  <li>
   The opportunity of getting on boarded to the phenomenal growth journey and helping the customers take the next big leap in digital transformation
  </li>
  <li>
   The opportunity to work with a diverse, lively and proactive group of techies who are constantly raising the bar on the art of translating mounds of data into tangible business value for clients.
  </li>
  <li>
   An ergonomic and beautiful working space in the heart of Mumbai open for you 24 hours
  </li>
 </ul>
</div>


Senior Data Scientist

Join Quantiphi 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.

Quantiphi

ABOUT_COMPANY

Information Security Analyst

Architect - Product Software Development

Senior Data Engineer - Marketing Analytics

Senior Data Scientist