Job brief
We are looking for a talented Web Designer to create amazing user
experiences. The ideal candidate should have an eye for clean and
artful web design. They should also have superior user interface
design skills.
The successful candidate will be able to translate high-level
requirements into interaction flows and artifacts. They will be able to
transform them into beautiful, intuitive, and functional designs.
Responsibilities
Execute all visual design stages from concept to final hand-off to
engineering
Conceptualize original website design ideas that bring simplicity
and user friendliness to complex roadblocks
Create wireframes, storyboards, user flows, process flows and
site maps to communicate interaction and design ideas
Present and defend designs and key deliverables to peers and
executive level stakeholders
Establish and promote design guidelines, best practices and
standards
Requirements
Proven work experience as a Web Designer
Demonstrable graphic design skills with a strong portfolio
Solid experience in creating wireframes, storyboards, user flows,
process flows and site maps
Proficiency in Photoshop, Illustrator or other visual design and
wire-framing tools
Proficiency in HTML, CSS and JavaScript/Bootstrap for rapid
prototyping
Experience working in an Agile/Scrum development process
Excellent visual design skills with sensitivity to user-system
interaction
Ability to solve problems creatively and effectively
Up-to-date with the latest Web trends, techniques and
technologies
BS/MS in Human-Computer Interaction, Interaction Design or a
Visual Arts subject

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Review Criteria
- Strong Data Scientist/Machine Learnings/ AI Engineer Profile
- 2+ years of hands-on experience as a Data Scientist or Machine Learning Engineer building ML models
- Strong expertise in Python with the ability to implement classical ML algorithms including linear regression, logistic regression, decision trees, gradient boosting, etc.
- Hands-on experience in minimum 2+ usecaseds out of recommendation systems, image data, fraud/risk detection, price modelling, propensity models
- Strong exposure to NLP, including text generation or text classification (Text G), embeddings, similarity models, user profiling, and feature extraction from unstructured text
- Experience productionizing ML models through APIs/CI/CD/Docker and working on AWS or GCP environments
- Preferred (Company) – Must be from product companies
Job Specific Criteria
- CV Attachment is mandatory
- What's your current company?
- Which use cases you have hands on experience?
- Are you ok for Mumbai location (if candidate is from outside Mumbai)?
- Reason for change (if candidate has been in current company for less than 1 year)?
- Reason for hike (if greater than 25%)?
Role & Responsibilities
- Partner with Product to spot high-leverage ML opportunities tied to business metrics.
- Wrangle large structured and unstructured datasets; build reliable features and data contracts.
- Build and ship models to:
- Enhance customer experiences and personalization
- Boost revenue via pricing/discount optimization
- Power user-to-user discovery and ranking (matchmaking at scale)
- Detect and block fraud/risk in real time
- Score conversion/churn/acceptance propensity for targeted actions
- Collaborate with Engineering to productionize via APIs/CI/CD/Docker on AWS.
- Design and run A/B tests with guardrails.
- Build monitoring for model/data drift and business KPIs
Ideal Candidate
- 2–5 years of DS/ML experience in consumer internet / B2C products, with 7–8 models shipped to production end-to-end.
- Proven, hands-on success in at least two (preferably 3–4) of the following:
- Recommender systems (retrieval + ranking, NDCG/Recall, online lift; bandits a plus)
- Fraud/risk detection (severe class imbalance, PR-AUC)
- Pricing models (elasticity, demand curves, margin vs. win-rate trade-offs, guardrails/simulation)
- Propensity models (payment/churn)
- Programming: strong Python and SQL; solid git, Docker, CI/CD.
- Cloud and data: experience with AWS or GCP; familiarity with warehouses/dashboards (Redshift/BigQuery, Looker/Tableau).
- ML breadth: recommender systems, NLP or user profiling, anomaly detection.
- Communication: clear storytelling with data; can align stakeholders and drive decisions.
Role Description
This is a full-time client facing on-site role for a Data Scientist at UpSolve Solutions in Mumbai. The Data Scientist will be responsible for performing various day-to-day tasks, including data science, statistics, data analytics, data visualization, and data analysis. The role involves utilizing these skills to provide actionable insights to drive business decisions and solve complex problems.
Qualifications
- Data Science, Statistics, and Data Analytics skills
- Data Visualization and Data Analysis skills
- Strong problem-solving and critical thinking abilities
- Ability to work with large datasets and perform data preprocessing
- Proficiency in programming languages such as Python or R
- Experience with machine learning algorithms and predictive modeling
- Excellent communication and presentation skills
- Bachelor's or Master's degree in a relevant field (e.g., Computer Science, Statistics, Data Science)
- Experience in the field of video and text analytics is a plus
Candidate should have laptop and bike and also have knowledge about B2B sales. Need a candidate who have good convincing skills so that he can make sales easily also male candidates are preferred.
Location: Remote
Experience : 4Y - 15 Y
• Strong hands-on experience in multiple WebSphere Commerce subsystems, i.e., Catalog, Order Management, Member, Marketing, etc.
• Worked on data load, WCS REST based web service development
• Having experience on WCS Data model & customization
• Strong experience in user interface design and web development with DoJo, JavaScript, jQuery, HTML, CSS and Ajax
• Significant experience with Struts and Spring application frameworks
• Strong experience with application servers such as WebSphere, JBoss and Weblogic in relation to packaging and deploying Java applications.
• Strong experience in development and deployment in a multi-tiered and multi-server application architecture
The key skills and expertise needed are:
1. eCommerce/Retail experience can be optional but needs to have experience with any high volume customer facing web/mobile site
2. Web Development, Front End Development, AND In the browser performance profiling
3. Java, Spring Boot, React, Node, Redux, Webpack, Microservices, AND experience with AWS technologies to make the overall application stack more resilient
4. Performance Profiling of web/mobile experiences and experience with working in CICD environment
5. Experience working with Web based and mobile ecommerce sites or similar public facing websites with high customer volume
6. Needs to be able to work at the code level doing performance profile to evaluate how the website and associated digital platform is built to find performance improvement opportunities
CLIENT: MNC PRODUCT-BASED COMPANY
ROLE: REACT JS
LOCATION: BANGALORE CANDIDATES ONLY APPLY.
EXPERIENCE:4 YEARS TO 7 YEARS
CTC: up to 30 LPA
NOTE: Candidates from Bangalore should only apply.
Serving notice periods (30 days)/ Immediate Joiner.
• Hands-on working knowledge and experience are required in:
.Typescript, JavaScript, HTML5, CSS
. Deep Knowledge of Frameworks like React.
.Deep Knowledge of tools like Yarn, Grunt, Gulp, npm etc.
.Knowledge of Restful APIs, JWT, and OAuth2.
.Relational Databases (PostgreSQL, MySQL, SQL, PLSQL, etc.)
.Agile Methodologies (Scrum, TDD, BDD, etc.)
.Knowledge of Benchmarking and Optimization Frameworks
.Translating designs and wireframes into high-quality and optimized code
.Knowledge of JavaScript MV-VM/MVC frameworks
.GIT/Bit Bucket, Jira, Maven/Gradle, Jenkins, Visual Studio Code.
• Experience with several of the following tools/technologies is desirable:
.Microservices Architecture
.Cloud Platforms (AWS, Azure, GCP), preferably AWS
.NoSQL Databases (Redis, Elastic Search, Mongo etc.)
.Optimizing components for maximum performance across a vast array of web-capable devices and browsers d. Knowledge of CDN will be a Bonus
• Knowledge of the following technologies is a plus:
.Other Programming Languages (Java, etc.)
. Unix/Linux environments
. Continuous Integration and Continuous Delivery Tools like Jenkins, Git, etc
Halodoc is the 2018 Forbes Indonesia Choice Award winner and Galen Growth’s 2018 Most
Innovative HealthTech Startup in Asia. Ours is a secure health-tech platform with a mission to
simplifying access to healthcare by connecting millions of patients with licensed doctors, insurance, labs, and pharmacies in one mobile application.
Key Job Responsibilities:
● He/She is a responsive team player who can proactively contribute for building technical
strategies for applications and systems by promoting an understanding of the technology and
business roadmap.
● He /she is someone who thrives in a fun, fast-paced, dynamic, startup-like environment.
● Work very closely with various business stakeholders to drive the execution of multiple
business plans and technologies .
● Work closely with Product, Design, and Marketing to conceive features, plan projects, and
build roadmaps
● Prior experience with scalable Architecture managing team of minimum 5 engineers and
coaching, mentoring while maintaining a role with code development.
● Proven history of contributing to product strategy and shipping products with multi-functional
teams.
● Highly involved in recruitment while building team also leading app development for both
platforms
● Promote and support company policies, procedures, mission, values, and standards of ethics
and integrity.
Minimum Qualification:
- Total of 10+ years experience
- Hands-on working on Java ( {Language understanding - Java 8, Lambdas, Collections,
popular frameworks & libraries}, JVM, GC tuning, performance tuning)
- Worked on REST frameworks/libraries like Spring MVC, Spring Boot, Dropwizard, REST
Express etc
- Worked on Relational data stores viz. MySQL, Oracle or Postgres
- Worked on Non-relational data stores viz. Cassandra, HBase, Couchbase, MongoDB etc
- Worked on caching infra viz. Redis, Memcached, Aerospike, Riak etc
- Worked on Queueing infra viz. Kafka, RabbitMQ, ActiveMQ etc









