Sales Manager

Experience: 2+ years Must-Have: Candidate must have prior experience in a product-based company

Role Summary: We are looking for a passionate Product Manager / APM to own and enhance the end-to-end product experience for both FOY Store (India & Global) and Personalise Me (Skin AI & Makeup Try-On). You will drive conversion, revenue, personalization, customer experience, and operational efficiency while collaborating closely with cross-functional teams including engineering, marketing, cataloge, operations, and data/ML teams.

Key Responsibilities: FOY Store:

Own the full customer journey: CTR → ATC → Checkout → Purchase → Repeat Define assortment strategy, navigation, product discovery, search, filters, PLPs, PDPs Collaborate with brand, cataloge, marketing, and operations for pricing, availability, and content accuracy Run rapid A/B experiments to optimize funnel and conversion Build scalable product integrations with payments, logistics, loyalty, and subscriptions Define product roadmap and write PRDs / user stories for engineering Track and improve store GMV, margins, retention, cancellations, COD risk Personalise Me (Skin AI + Makeup Try-On):

Own the hyper-personalized beauty experience: Skin AI test, Virtual Try-On, BeautyGPT Collaborate with data/ML teams to improve recommendation accuracy Understand beauty user profiles, concerns, and preferences deeply Integrate personalized recommendations into the shopping journey to boost conversion Drive metrics: activation → profile completion → recommendation clicks → purchase Work with brand and catalog teams to tag inventory for personalization

Must-Have Skills:

Strong analytical mindset + customer psychology understanding UI/UX intuition for ecommerce and personalization best practices Strong Google Sheets & Excel skills SQL proficiency Experience with funnels, Clevertap/GA, AB testing tools Customer empathy, problem-solving, and curiosity for beauty tech and AI

Bonus Skills:

Experience with ecommerce marketplaces, D2C, or AI-driven recommendation systems Experience with personalization, gamification, or form-based flows Knowledge of AI tools and product integrations

Why Join Us: Be part of a dynamic team shaping the future of beauty commerce, blending cutting-edge AI with customer-first product experiences.

Job Title: Full Stack Engineer

Location: Delhi-NCR

Type: Full-Time

Responsibilities

Frontend:

• Develop responsive, intuitive interfaces using HTML, CSS (SASS), React, and Vanilla JS.
• Implement real-time features using sockets for dynamic, interactive user experiences.
• Collaborate with designers to ensure consistent UI/UX patterns and deliver visually compelling products.

Backend:

• Design, implement, and maintain APIs using Python (FastAPI).
• Integrate AI-driven features to enhance user experience and streamline processes.
• Ensure the code adheres to best practices in performance, scalability, and security.
• Troubleshoot and resolve production issues, minimizing downtime and improving reliability.

Database & Data Management:

• Work with PostgreSQL for relational data, ensuring optimal queries and indexing.
• Utilize ClickHouse or MongoDB where appropriate to handle specific data workloads and analytics needs.
• Contribute to building dashboards and tools for analytics and reporting.
• Leverage AI/ML concepts to derive insights from data and improve system performance.

General:

• Use Git for version control; conduct code reviews, ensure clean commit history, and maintain robust documentation.
• Collaborate with cross-functional teams to deliver features that align with business goals.
• Stay updated with industry trends, particularly in AI and emerging frameworks, and apply them to enhance our platform.
• Mentor junior engineers and contribute to continuous improvement in team processes and code quality.

Required Skillset

• Experience in Core Java 1.8 and above, Data Structures, OOPS, Multithreading, Algorithms, Collections, System Design, Unix/Linux. • Possess good architectural knowledge and be aware of enterprise application design patterns. • Should be able to analyze, design, develop and test complex, low-latency client-facing applications. • Good development experience with RDBMS. • Good knowledge of multi-threading and high-volume server-side development. • Basic working knowledge of Unix/Linux. • Excellent problem solving and coding skills in Java. • Strong interpersonal, communication and analytical skills. • Should be able to express their design ideas and thoughts.

Job Brief-

• Understand product requirements and come up with solution approaches. • Build and enhance large scale domain centric applications. • Deploy high quality deliverables into production adhering to the security, compliance and SDLC guidelines.

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.