Big data Developer

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.

Strong Engineering Manager / Lead Profiles

Mandatory (Experience 1) - Must have 8+ years of overall Software Engineering/Development experience

Mandatory (Experience 2) - Must have 3+ years of experience as Engineering Manager / Team Lead role, with ownership of technical direction, delivery, and people management

Mandatory (Experience 3) - Must have hands-on Backend development experience using Python or Java, with frameworks such as FastAPI / Django / Spring / Express (Node.js)

Mandatory (Experience 4) - Must have Frontend development exposure using ReactJS, JavaScript, HTML, CSS

Mandatory (Experience 5) - Must have experience designing and building APIs, services, and integrations, including system design, PR reviews, and architectural decision-making.

Mandatory (Experience 6) - Must have experience leading engineers end-to-end – mentoring, code reviews, execution planning, and improving team productivity/quality

Mandatory (Company) - Must be from Product Companies / Startups (early to growth stage), B2B SaaS + Fintech industry is highly preferred

Mandatory (Note) - This role will be 80% team management and 20% IC (hands on coding required)

Roles and Responsibilities:

• Develop new user-facing features
• Integrate PSD designs to Magento Theme
• Build reusable code and libraries for future use
• Ensure the technical feasibility of UI/UX designs
• Optimize Magento 2 stores for maximum speed and scalability
• Assure that all user input is validated before submitting to back-end
• Collaborate with other team members and stakeholders

 Desired Candidate Profile:

• Minimum 2 years of experience as a Magento 2 Frontend Developer
• Experience in setting up the full UI workflow layer right from Development, Testing, Building and Deployment.
• Strong knowledge of web standards
• Expert Level understanding of server-side CSS pre-processing platforms, such as LESS and SASS
• Good understanding of Javascript and JQuery
• Proficient understanding of code versioning tools, such as Git
• Understanding of Basic SEO principles and ensuring that the application will adhere to them
• Fair understanding of JavaScript programming and DOM manipulation
• Familiarity with differences in other HTML5 based views, such as ones in email clients
• Proficient understanding of cross-browser compatibility issues and ways to work around them
• Critical thinking and problem-solving skills
• Good time-management skills
• Should be able to handle project independently

JOB SUMMARY:  The Senior Associate supports the Data Analytics Manager by proposing relevant analytics procedures/tools, executing the analytics and also developing visualization outputs for audits, continuous monitoring/auditing and IA initiatives. The individual’s responsibilities include -

Understanding audit and/or project objectives and assisting the manager in preparing the plan and timelines.

Working with the Process/BU/IA teams for gathering requirements for continuous monitoring/auditing projects.

Working with Internal audit project teams to understand the analytics requirements for audit engagements.

Independently build pilot/prototype, determine appropriate visual tool and design the views to meet project objectives.

Proficient in data management and data mining.

Highly skilled on visualization tools like Qlik View, Qlik Sense, Power BI, Tableau, Alteryx etc.

Working with Data Analytics Manager to develop analytics program aligned to the overall audit plan.

Showcasing analytics capability to Process management teams to increase adoption of continuous monitoring.

Establishing and maintaining relationships with all key stakeholders of internal audit.

Coaching other data analysts on analytics procedures, coding and tools.

Taking a significant and active role in developing and driving Internal Audit Data Analytics quality and knowledge sharing to enhance the value provided to Internal Audit stakeholders.

Ensuring timely and accurate time tracking.

Continuously focusing on self-development by attending trainings, seminars and acquiring relevant certifications.

We are looking for a Performance Marketing Manager who can take Wiser AI's growth & branding to the next level. The marketer will collaborate closely with the management, sales, customer success, and our marketing teams to drive inbound, GTM, and outbound initiatives.

Wiser is one of the leading AI powered recommendations engine for Shopify empowering brands like Disney, Star Wars, Kappa, and 30000 more such brands.

Roles & Responsibilities:

• Setup the positioning and product branding that differentiates our platform in the market
• Create materials (sales enablement tools, presentations, case studies, product content, industry-specific collaterals, etc.) for the defined segmentation.
• Own an audience segment and understand the market trends to inform product or market decisions.
• Own GTM activities particularly around product releases and launches.
• Collaborate with Sales, Marketing, and Product Management teams to drive a consistent and compelling product messaging to effectively promote and facilitate the sale of our products
• Work on overall growth for the app by various strategic activities for Wiser App.

We are looking for a Developer who is proficient with Node and has at least 1-3 years of relevant experience. Your primary role will be on developing microservices, while ensuring good coding practices and architecture. You will have end to end ownership of the services you develop, to ensure it is 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, and quality product is important.

Roles and Responsibilities

• Integrating and maintaining Node micro services
• Proficient in RESTful APIs and API communications, especially to consume data from and/or push data into MongoDB for Web and mobile applications
• Proficient on modeling applications on NOSQL databases(preferably MongoDB)

Desired Candidate Profile

• Strong coding experience in Node JS.
• Should have experience with microservice architecture
• Compile and analyze data, processes, and codes to troubleshoot problems and identify areas for improvement

Nice to have:

• Some experience with queues like like Redis,SQS,etc
• Experience with cloud solutions like Lambda, Docker etc
• Experience in DevOps and related practices to improve development lifecycle, continuous delivery with high quality is an advantage.
• Deploy server/related components to staging, live environments.
• Some exposure to React Frontend implementation, deeper JS skills