Automation Test Engineer – Selenium using C#

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.

1. Understand PHP, JavaScript, and JQuery.
2. Have deep knowledge of working with the platform APIs.
3. Use version control for Shopify theme development.
4. Possess excellent soft skills, such as communication and teamwork.
5. Have an extensive portfolio and testimonials of happy clients.

Digital Marketing Manager

₹3L - ₹3.6L

Responsibilities

As the digital marketing manager, you will be responsible for handling the performance and growth objectives of your clients.

You will:

• Liaise closely with clients to understand their marketing objectives
• Plan, strategize and execute clients specific goals in collaboration with an internal team of copy, writers, designers, and marketing managers
• Develop, and execute digital media campaigns on Facebook, Google, and other paid platforms
• Ideate on content and creative messaging

You are a good fit if you have experience in the following areas (not in all):

DIGITAL MARKETING

• Managing PPC campaigns, monitoring performance, analysis, and reporting.
• Digital Media Planning & Buying
• Experience in SEO strategy and content writing
• Experience with web analytics tools (Google Analytics, WebTrends, etc.).
• Managing and updating social media platforms across all digital channels.
• Knowledge of LinkedIn, Facebook ad targeting, Google Ad words
• Knowledge of website optimization, with a focus on landing page conversation and A/ B testing

ACCOUNT MANAGEMENT

• Preference to those who have previously worked in a digital marketing agency and have experience directly dealing with clients
• Project management - ability to manage 3-4 clients, streamline tasks and deliverables and ensure timeline delivery
• Collaboration: experience working with mid-sized teams and collaborators to brief, ideate, and design creative communication and develop assets to support the digital campaigns.

We are looking for a React Native developer interested in building performant mobile apps on both the iOS and Android platforms. You will be responsible for architecting and building these applications, as well as coordinating with the teams responsible for other layers of the product infrastructure. Building a product is a highly collaborative effort, and as such, a strong team player with a commitment to perfection is required.

Responsibilities

• Build pixel-perfect, buttery smooth UIs across both mobile platforms.
• Leverage native APIs for deep integrations with both platforms.
• Diagnose and fix bugs and performance bottlenecks for performance that feels native.
• Reach out to the open source community to encourage and help implement mission-critical software fixesReact Native moves fast and often breaks things.
• Maintain code and write automated tests to ensure the product is of the highest quality.
• Transition existing React web apps to React Native