Technical Architect/CTO

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.

• Leading the engineering team  and federated suites.
• Helping define Technical Roadmap and own the entire product delivery end to end.
• Working very closely with various business stakeholders to drive the execution of multiple business plans and technologies for the team.
• Improving, optimizing and identifying opportunities for efficient software development processes.
• Hiring, Developing and Retaining a strong team of engineers.

• 7-9 years of experience with Java development, Spring Boot. Minimum 5+ years of managing high performance development team(s).
• Strong knowledge of REST and micro services based design.
• Experience across the product development SDLC with solving customer problem approaches.
• Prior product engineering leadership in Identity and Access Management solutions is a big plus.

• Coding and creating functional web applications and optimizing code for increasing response time and efficiency.
• Coordinating with front-end developers and providing server-side algorithms of user-facing web application elements.
• Analyzing the goals and requirements, handling bugs and errors and providing solutions for the same.
• Interacting with the database for storing data and ensuring that every user has access to what they search.

• Accomplishing the projects and goals within the deadline.
• Managing APIs that are executed across the devices.
• Participating in defining the architecture of the system.

Required skills

• Proven knowledge of front-end technologies, such as Angular, React, HTML, CSS, and JavaScript will be preferred.
• In-depth knowledge of PHP and related frameworks. Knowledge of Ruby, Python, NodeJs, and Java will be an added advantage.
• Good Communication, Analytical, Logical, and Leadership skills.
• Knowledge of front-end technologies such as Angular, React, HTML, CSS, and JavaScript will be preferred.
• Ability to manage a hosting environment along with database administration such as MySQL, Oracle.
• Excellent knowledge of APIs (REST, SOAP) and Web services.
• Capable of scaling applications to handle the load changes.
• Knowledge of version control, such as GIT.
• Knowledge of accessibility and security compliance.

What you need to have:

*Only Immediate Joiners


DESCRIPTION
We are looking for a great Frontend developer who is proficient with React.js. Your primary focus will be on developing user interface components and implementing them following well-known React.js workflows (such as Flux or Redux). You will ensure that these components and the overall application are robust and easy to maintain. You will coordinate with the rest of the team working on different layers of the infrastructure. Therefore, a commitment to collaborative problem solving, sophisticated design, and quality product is important.

RESPONSIBILITIES

• Developing new user-facing features using React.js
• Building reusable components and front-end libraries for future use
• Translating designs and wireframes into high quality code
• Optimizing components for maximum performance across a vast array of web-capable devices and browsers

REQUIREMENTS

• Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model
• Thorough understanding of React.js and its core principles
• Experience with popular React.js workflows (such as Flux or Redux)
• Familiarity with newer specifications of EcmaScript
• Familiarity with RESTful APIs and sockets
• Knowledge of modern authorization mechanisms, such as JSON Web Token
• Familiarity with modern front-end build pipelines and tools
• Experience with common front-end development tools such as Babel, Webpack, NPM, etc.
• Ability to understand business requirements and translate them into technical requirements
• A knack for benchmarking and optimization
• Familiarity with code versioning tools
• Experience with PWAs and React Native is a huge plus