Graphic Designer

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: BDE

Exp: 0-4 Years

CTC: 3-5 LPA

Key Responsibilities:

1. Inquiring students to select the right course

2. Responsible for selling courses through outbound, inbound and online process.

3. Achieving weekly and monthly sales target.

4. Self-momtivated and organised capable of managing a high volume of customer interactions.

5. Counsel the working professionals related to the suitable courses as per their domain

6. Familiriaty with CRM software for effective lead management and reporting wilL be an added advantage.

7. Identifying opportunities for new business development through lead generation

8. Co-ordinate pre-sales and post-sales follow up.

9. Creating and maintaining a database of prospect clients

RazerTech Consulting is mandated to hire a Technical Lead for a US based Tech Company that offers a cloud-based, AI?powered image editing and automation platform for leading brands in ecommerce, fashion, marketplaces & photo studios. The platform helps creatives and marketers produce stunningly consistent imagery and video content at scale.

Role Overview :

Were looking for a hands-on engineering lead to own the delivery of our GenAI-centric product from the backend up to the UI while integrating visual AI pipelines built by ML engineers. Youll be both a builder and a leader : writing clean Java and TypeScript/Node.js, scaling AWS-based systems, mentoring engineers, and making architectural decisions that stand the test of scale. Ideally, youre also familiar with Python for deploying ML pipelines.

(Note : This role requires both technical mastery and leadership skills - we're looking for someone who can write production code, make architectural decisions, and lead a team to success.)

What Youll Do :

• Lead development of the Java, Node.js and Python (FastAPI) backend services on AWS
• Build high-performance image processing pipelines using ImageMagick, SharpJS, and SVG manipulation
• Implement automated visual content generation using Headless Chrome and Puppeteer or similar tools.
• Deploy ML pipelines (built by the ML team) into containerized inference workflows using FastAPI, Docker, and GPU-enabled ECS EC2.
• Deploy and manage services on AWS ECS/Fargate, Lambda, API Gateway, and GPU-powered EC2
• Contribute to React/TypeScript frontend when needed to accelerate product delivery
• Work closely with the founder, product, and UX teams to translate business needs and PRDs into features that drive productmarket fit.
• Make architecture and infrastructure decisions from media processing to task queues to storage
• Own the performance and cost-optimization of our AWS platform
• Hire and mentor junior/mid engineers over time
• Drive technical planning, sprint prioritization, and trade-off decisions

Must have Skills :

• Backend Development (57 years) : Java, Node.js, TypeScript, RESTful API, Docker
• AWS Expertise (5+ years) : AWS Lambda, ECS, EC2, S3, DynamoDB, CloudWatch, IAM, roles
• Image Processing & Media Technologies : ImageMagick, SharpJS, SVG manipulation and programmatic generation, Headless Chrome, Puppeteer
• System Optimization & Middleware (35 years) : AWS cloud cost optimization, Celery, BullMQ, AWS Step Functions
• Frontend Development (23 years) : React, TypeScript, Redux, Context API, CI/CD pipelines.
• System Design & Architecture (46 years) : Event-driven architectures using queues, microservices-based systems, caching strategies (e.g., Redis, CDN edge caching)
• Leadership & Communication (23 years) : Lead engineering teams and drive project delivery

• Proficient knowledge of a NodeJS and Express.
• Understanding differences between multiple delivery platforms (such as mobile vs, desktop), and optimizing output to match the specific platform
• Good understanding of server-side templating languages (such as Jade, EJS, Jinja, etc. depending on your technology stack)
• Good understanding of server-side CSS preprocessors (such as Stylus, Less, Sass etc. depending on your technology stack)
• Creating database schemas that represent and support business processes
• Data migration, transformation, and scripting
• User authentication and authorization between multiple systems, servers, and environments
• Integration of multiple data sources and databases into one system
• Understanding differences between multiple delivery platforms, such as mobile vs. desktop, and optimizing output to match the specific platform
• Creating database schemas that represent and support business processes
• Implementing automated testing platforms and unit tests
• Management of hosting environment, including database administration and scaling an application to support load changes
• Understanding of fundamental design principles behind a scalable application
• Good understanding of advanced JavaScript libraries and frameworks such as AngularJS.

• VueJS
• Express
• Socket.IO
• NuxtJS
• MongoDB (3.x)
• Mongoose