
Required Skills: Customer Segmentation & Personalization, CRM & Lifecycle Marketing, Data Analysis & KPI Reporting, A/B Testing & Experimentation, Funnel & Journey Optimization
Criteria:
- Candidate should have Experience: 4–6 years in CRM & Lifecycle Marketing for digital-first/app-based platforms.
- Preferred Industry Exposure: Gaming / OTT / E-commerce
- Proven ability to own end-to-end lifecycle metrics such as activation, retention, churn reduction, or reactivation
- Strong hands-on experience with CRM automation platforms such as Clevertap, MoEngage, Braze, or WebEngage
- Expertise in user segmentation, cohort creation, and personalized targeting based on behavioral and transactional data
- Experience in managing cross-channel campaigns (Push, WhatsApp, SMS, Email, RCS, In-app) with a focus on ROI and spend optimization
- Proficient in data analysis, funnel tracking, KPI reporting, and deriving insights (DAU, WAU, retention %, churn, watch conversion)
- Hands-on experience with A/B testing, experiments, holdout groups, and iterative optimization
- Strong understanding of journey mapping and funnel optimization, with the ability to identify drop-offs and improve user progression
- Candidates must have a 70% strategy + 30% execution mindset, ideally from reputable consumer brands.
Description
We are looking for a CRM & Lifecycle Marketing Manager to own and drive key user lifecycle metrics at company. The ideal candidate is data-driven, detail-oriented, and experienced in executing CRM campaigns and automation journeys that drive activation, retention, and engagement.
This is a high-impact, ownership-driven role where you’ll be responsible for defining, executing, and optimizing end-to-end CRM strategies using platforms like Clevertap, MoEngage, or WebEngage.
Key Responsibilities:
1. End-to-end metric ownership Be fully accountable for a defined lifecycle KPI (e.g., activation, D7 retention, churn rate) — set targets, build roadmap, deliver improvements and own outcomes.
2. Campaign setup & CRM operations (Clevertap / Braze / etc.) Build, configure, QA and execute campaigns and automated journeys in the CRM platform (Clevertap or equivalent) — audience selection, triggers, scheduling, tagging, and delivery monitoring.
3. Segmentation & personalization Define behavioural and transactional cohorts, implement dynamic personalization rules, and maintain audience hygiene to ensure relevance and lift.
4. Experimentation & optimization Design and run A/B and holdout experiments, analyse uplift, and iterate on messaging, timing and frequency to maximize impact.
5. Analysis, reporting & cross-functional alignment Track and interpret campaign and funnel metrics, maintain dashboards, produce concise insights and recommendations, and coordinate with Product, Data and CX for dependencies and fixes.
Key Expected Outcomes:
1. Improvement in owned lifecycle metric — measurable growth in activation, retention, reactivation, or churn reduction for the assigned user cohort.
2. High-quality campaign execution — error-free setup, timely delivery, and consistent hygiene across CRM journeys and automations.
3. Increased user engagement & watch conversion — stronger daily/weekly active ratios and deeper content consumption.
4. Data-driven optimization — regular testing and iteration leading to improved CTRs, conversions, and journey completion rates.
5. Actionable insights for business teams — clear reporting and learnings that inform product and marketing decisions.
Requirements:
● End-to-end Lifecycle Ownership – ability to plan, execute, and measure campaigns for a defi ned metric or stage (e.g., activation, retention).
● CRM Automation Expertise – hands-on execution using tools like Clevertap ,MoEngage, WebEngage
● User Segmentation & Targeting – defi ning cohorts based on behaviour, subscription status, and engagement data.
● Cross-channel Campaign Management – executing communication via push, WhatsApp, SMS, RCS, email, and in-app along with Spends optimization
● Data Analysis & Reporting – tracking key KPIs and metrics (eg. DAU, WAU, retention %, watch conversion, churn) and deriving insights along with RCA
● A/B Testing & Experimentation – Continuously ideating, setting up and evaluating experiments to improve conversion and retention.
● Journey & Funnel Optimization – identifying drop-offs and improving user progression through lifecycle stages.
● Copy & Creative Collaboration – working with content/design teams to ensure messaging relevance and clarity.
● Stakeholder Collaboration – aligning with product, CX, Content and data teams for execution dependencies.
● Ownership Mindset – accountable for end outcomes and continuously optimizing performance of the assigned metric.
What will be the success metric for this role?
● Improvement in owned lifecycle metric — measurable growth in activation, retention, reactivation, or churn reduction for the assigned user cohort.
● High-quality campaign execution — error-free setup, timely delivery, and consistent hygiene across CRM journeys and automations.
● Increased user engagement & watch conversion — stronger daily/weekly active ratios and deeper content consumption.
● Data-driven optimization — regular testing and iteration leading to improved CTRs, conversions, and journey completion rates.
● Actionable insights for business teams — clear reporting and learnings that inform product and marketing decisions.

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🧠 What You’ll Do:
• Test end-to-end healthcare data ingestion pipelines (HL7, JSON, XML, FHIR).
• Validate data workflows using Azure Data Factory, Logic Apps, and Databricks.
• Verify accurate data storage and transformation in ADLS Gen2 before loading into Azure Health Data Services (FHIR Server).
• Perform API testing on services exposed via Azure API Management with focus on performance, security, and compliance.
• Lead defect lifecycle management — logging, tracking, prioritizing, and coordinating triage with developers, architects, and stakeholders.
• Ensure observability and access control using Azure Monitor and Role Based Access Control (RBAC).
• Collaborate with cross-functional teams to uphold quality goals and delivery timelines.
• Ensure adherence to healthcare data standards and privacy regulations.
📌 Required Skills & Experience:
✔ 6+ years of hands-on Azure testing / QA experience
✔ Strong expertise in testing with Azure Data Factory, Logic Apps, Databricks
✔ Proven ability in API testing, performance testing, and security validation
✔ Excellent defect lifecycle ownership and communication skills
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🎯 Nice to Have:
• Azure Certifications – AZ-900, DP-203, or Certified FHIR Specialist
Key Responsibilities
- Provide L2/L3 support for SAP FICO modules, resolving incidents, break-fix issues, and change requests within SLAs using tools like ServiceNow.
- Handle production configurations, month/year-end closings, and assist in functional enhancements including RICEF objects via full SDLC.
- Perform GAP analysis, BRD mapping, and guide technical teams on RICEF specifications for custom developments.
- Support testing (unit, integration, UAT), code reviews, and initial problem fixes for enhancements and new functionality.
- Collaborate with functional experts on incident resolution and solution design to meet quality standards.
Mandatory Skills
- 6-8 years SAP FICO support experience, including data modeling, extractions, staging, loading, transformations, and reporting.
- Core FI/CO configuration: GL, AP/AR, AA, Bank Accounting; CO sub-modules like Cost Element (creation/planning), Cost Center (planning/assessment/distribution/reporting), Internal Orders (types/planning/settlement), Product Costing (settings/standard/settlements/ML), COPA (structure/segments/flow/assessment/reports).
- Expertise in cross-module integrations: FI-MM/WM/SD/PP/PS.
- RICEF development, enhancements/user-exits, and strong knowledge of month/year-end activities.
Preferred Qualifications
- S/4HANA experience with Universal Journal, Fiori apps, and ITSM tools.
- Excellent communication for multinational teams, BRD analysis, and explaining technical concepts to non-technical users.
- Bachelor's in relevant field; ability to work independently in fast-paced settings.
- Minimum 4 yrs. of experience in Requirement Elicitation, Data Management and Data cleansing experience.
- Experience in analyzing data to draw business-relevant conclusions and in data visualization techniques and tools
- Ability to communicate clearly and effectively with both technology/development
- Must be proficient in MS office (Word, Excel, Visio, and PowerPoint)
- Ability to create and present executive level dashboards and status reports to Senior Leadership and cross-functional stakeholders
Responsibilities
- Understand customers’ business needs and devise appropriate solutions using Sainapse.
- Document the requirements along with DFD and Swimlane diagrams.
- In depth analysis of the Past Data and perform Data Labeling.
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Data Scientist
Job Title: Data Scientist – Data and Artificial Intelligence
Location: Hyderabad
Job Type: Full-time
Company Description:
Qylis is a leading provider of innovative IT solutions, specializing in Cloud, Data & AI,
and Cyber Security. We help businesses unlock the full potential of these technologies
to achieve their goals and gain a competitive edge. Our unique approach focuses on
delivering value through bespoke solutions tailored to customer specific needs. We are
driven by a customer-centric mindset and committed to delivering continuous value
through intellectual property accelerators and automation. Our team of experts is
passionate about technology and dedicated to making a positive impact. We foster an
environment of growth and innovation, constantly pushing the boundaries to deliver
exceptional results. Website: www.qylis.com, LinkedIn:
www.linkedin.com/company/qylis
Job Summary
We are an engineering organization collaborating directly with clients to address
challenges using the latest technologies. Our focus is on joint code development with
clients' engineers for cloud-based solutions, accelerating organizational progress.
Working with product teams, partners, and open-source communities, we contribute to
open source, striving for platform improvement. This role involves creating impactful
solution patterns and open-source assets. As a team member, you'll collaborate with
engineers from both teams, applying your skills and creativity to solve complex
challenges and contribute to open source, while fostering professional growth.
Responsibilities
• Researching and developing production-grade models (forecasting, anomaly
detection, optimization, clustering, etc.) for global cloud business by using
statistical and machine learning techniques.
• Manage large volumes of data, and create new and improved solutions for data
collection, management, analyses, and data science model development.
• Drive the onboarding of new data and the refinement of existing data sources
through feature engineering and feature selection.
• Apply statistical concepts and cutting-edge machine learning techniques to
analyze cloud demand and optimize data science model code for distributed
computing platforms and task automation.
• Work closely with other data scientists and data engineers to deploy models that
drive cloud infrastructure capacity planning.
• Present analytical findings and business insights to project managers,
stakeholders, and senior leadership and keep abreast of new statistical /
machine learning techniques and implement them as appropriate to improve
predictive performance.
• Oversees the analysis of data and leads the team in identifying trends, patterns,
correlations, and insights to develop new forecasting models and improve
existing models.
• Leads collaboration among team and leverages data to identify pockets of
opportunity to apply state-of-the-art algorithms to improve a solution to a
business problem.
• Consistently leverages knowledge of techniques to optimize analysis using
algorithms.
• Modifies statistical analysis tools for evaluating Machine Learning models.
Solves deep and challenging problems for circumstances such as when model
predictions are not correct, when models do not match the training data or the
design outcomes when the data is not clean when it is unclear which analyses to
run, and when the process is ambiguous.
• Provides coaching to team members on business context, interpretation, and the
implications of findings. Interprets findings and their implications for multiple
businesses, and champions methodological rigour by calling attention to the
limitations of knowledge wherever biases in data, methods, and analysis exist.
• Generates and leverages insights that inform future studies and reframe the
research agenda. Informs both current business decisions by implementing and
adapting supply-chain strategies through complex business intelligence.
Qualifications
• M.Sc. in Statistics, Applied Mathematics, Applied Economics, Computer
Science or Engineering, Data Science, Operations Research or similar applied
quantitative field
• 7+ years of industry experience in developing production-grade statistical and
machine learning code in a collaborative team environment.
• Prior experience in machine learning using R or Python (scikit / numpy / pandas /
statsmodel).
• Prior experience working on Computer Vision Project is an Add on
• Knowledge on AWS and Azure Cloud.
• Prior experience in time series forecasting.
• Prior experience with typical data management systems and tools such as SQL.
• Knowledge and ability to work within a large-scale computing or big data context,
and hands-on experience with Hadoop, Spark, DataBricks or similar.
• Excellent analytical skills; ability to understand business needs and translate
them into technical solutions, including analysis specifications and models.
• Experience in machine learning using R or Python (scikit / numpy / pandas /
statsmodel) with skill level at or near fluency.
• Experience with deep learning models (e.g., tensorflow, PyTorch, CNTK) and solid
knowledge of theory and practice.
• Practical and professional experience contributing to and maintaining a large
code base with code versioning systems such as Git.
• Creative thinking skills with emphasis on developing innovative methods to solve
hard problems under ambiguity.
• Good interpersonal and communication (verbal and written) skills, including the
ability to write concise and accurate technical documentation and communicate
technical ideas to non-technical audiences.
Requirements:
- Very good programming knowledge in C/C++
- Experience in Multi-threaded software development
- Understanding of operating systems concepts, system performance, and optimization
- Familiar with working in an Embedded Linux development environment.
- Excellent problem-solving/debugging skills, design, development, troubleshooting, and debugging
- Knowledge of embedded tools like emulators, linkers, makefiles, etc
- Experience in voice applications development, preferably on client/server platforms
- Knowledge of RTOS programming will be added advantage.
- Understanding of different processors. microcontrollers architectures.
- Familiarity with development tools such as GCC, GDB, Eclipse, GNU Make, etc
Client Servicing and Account Management:
● Craft media plans and build proposals for advertising
campaigns the clients want to execute
● Conduct secondary research about client or client’s industry in
order to craft more relevant campaign strategy
● Coordinate internal teams aligned with the account to ensure
client success
● Coordinate with operations Head and Finance to manage
contracts and payment
● Communicate with clients to ensure that campaigns are
delivering as per expectations
Campaign Management & Optimization:
● Drive in-depth quantitative analysis of advertising campaigns
● Optimize to improve campaign success metrics including CTR,
CPC, CPA and campaign pricing
● Oversee creation, implementation and tracking of online
marketing campaigns in Google AdWords, Facebook, and
Programmatic platforms
● Liaise the media buying platforms and technology partners to
improve campaign delivery
Initiatives:
● Apply own insights, analysis and client feedback to tune
campaigns to success
● Share, educate and assist the internal team members and
clients with relevant insights to improve Datawrkz’s offerings
Requirements:
● B. Tech/ B.E/MBA
● Minimum of 1-year prior experience in an analytics, digital
marketing or business analysis role
● Experience managing US clients with direct interaction with
client preferable
● Very strong analytical skills
● Presales experience will be a bonus
● Clearly demonstrated interest and understanding of the Digital
Marketing industry (Either worked in or took proactive steps
to learn. Understanding of digital marketing terminology and
concept is an absolute must)
● Strong written and verbal communication skills
● Candidates who have worked with Digital marketing or other
marketing services industry (including market research, ad
agency, PR agency etc) will be preferred
Other Benefits:
● Compensation - Fixed Stipend
● Dress - We aren’t buttoned down. Wear anything you’re comfortable in.
● Flexibility We focus on a Result Oriented Work Environment. No one will be
behind you to come in and leave at a certain time each day
● Gifts and vouchers - Employee engagement activity winners and office
celebrations.
● Foosball - Whether you want to pick up the game or master your skills,
you’ll find plenty of people to play with
● TGIF - We’ll find something to do at the end of each week. Work hard, party
harder!
● *Insurance - Medical Insurance Coverage of 3,00,000 for individual, spouse
and kids. Option of including parents and higher coverage amount of
5,00,000.
● *Reimbursement - Internet/telephone reimbursements for those working
from home.
2)Preparing Software Tests
3)Test Items, Including the Modules Used, Scope and Out of Scope.
4)Testing Methodology, Including tools Used, bug Tracking Protocol and testing Levels.
5)Understanding the Testing Process.
- Designing and developing advanced applications for android platforms.
- Collaborate with UI/UX designers as well as the software engineers to make sure that each app is presentable.
- Test the applications, identify any bugs and resolve them
- Manage tasks within Agile framework and controlled JIRA workflow.
- Document architecture and implementation for internal and external components.
Qualifications:
- 1+ years of experience in Android Development .
- Previous experience working in a fast paced start up is a plus.
- Released at least 1 app or have a project in works that you can tell us about.
- Experience publishing a high-quality android application to the google store.
- Solid understanding of the full mobile development life cycle.
- Experience working with Android SDK and Android studio.
- Good in JAVA (j2se) and Kotlin
- Experience with APIs (OAuth, XML, JSON, REST, etc. )
- Ability to understand business requirements and convert them into technical requirements.
Job Types: Full-time, Regular / Permanent
Location – Bangalore/Hyderabad
Job Roles & Responsibilities:
Full Stack Sr. Java Developer with competencies focused on :
• Experience in the Java 8 , Spring boot , Struct etc.
• Good Experience with AWS Cloud Platform and its related services.
• CI/CD deployments using GitLab and Docker Containers etc.
Here are few responsibilities on the job:
• Gather & analyse requirements , design, develop , test and perform root cause analysis.
• Actively participate in technical brainstorming session for solution building
• Provide technical guidance to team members if needed.
• Develop and Support Application Integration requirements etc.
• Participate in code reviews and design sessions etc.
Must Haves skillset : Java 8, Spring Boot , Microservices and AWS ; Should have worked with Offshore , mentor and coach them to deliver.
Secondary / Nice To Have : Java Structs Framework , Angular JS, Aurora Postgres.
Responsibilities:
• Develop computer vision systems for enterprises to be used by hundreds of our
customers
• Enhance existing Computer vision systems to achieve high performance
• Prototype new algorithms rapidly, iterating to achieve high levels of performance
• Package these prototypes as robust models written in production level code to be
integrated into the product
• Work closely with the ML engineers to explore and enhance new product features
leading to new areas of business
Requirements:
Strong understanding of linear algebra, optimisation, probability, statistics
• Experience in the data science methodology from exploratory data analysis, feature
engineering, model selection, deployment of the model at scale and model evaluation
• Background in machine learning with experience in large scale training and
convolutional neural networks
• Deep understanding of evaluation metrics for different computer vision tasks
• Knowledge of common architectures for various computer vision tasks like object
detection, recognition, and semantic segmentation
• Experience with model quantization is a plus
• Experience with Python Web Framework (Django/Flask/FastAPI), Machine Learning
frameworks like Tensorflow/Keras/Pytorch









