Sr Java Script / HTML5 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.

We are looking for an enthusiastic Sales Intern In the U.S.A who can run sales drive for our software products.

Skills Required

• Strong Interpersonal Skills.
• Strong Self Motivation.
• Strong Convincing Ability.

Roles and Responsibilities

• Carry out Sales Drive in the U.S.A for our software products.
• Observing and carrying out sales processes.
• Updating documents and sales records.
• Reviewing sales performance against sales targets.
• Finding U.S.A clients and getting service contracts in software from them.
• Identifying potential weaknesses and offering improvement suggestions.

About Us:

Spacenos is the fastest-growing start-up which is innovating in the finance, edtech and marketing domain since 2015 and won multiple awards and recognitions from more than 40+ MNCs and Fortune 500 companies. Our Clients are based out of the U.S.A and Australia. We are funded & Supported by Government of Karnataka, Angel Investors and International Grants.

Hiring Process:

• Apply for your CV and past work to be reviewed.
• Receive a telephonic interview or assessment upon filling the final step form.
• Receive offer letter if selected.   

- Apply soon, the earliest applicant would be preferred over the late applicants.

Frontend Developer (ReactJS)

Company Profile

Egregore Labs (www.egregorelabs.com) is a financial software company founded in 2017 by Prashant Vijay (ISB, Tulane) & Hari Balaji (IIM Ahmedabad, IIT Madras) both of whom have spent over a decade each in Financial Services, with a majority of their experience at Goldman Sachs across New York, Hong Kong & Singapore in roles across Trading, Quant & Technology.
Opportunity
We are looking for an experienced Frontend engineer with ReactJS development experience to join our team.

Here’s are some of the things you might have to do on any given day:

• Implement responsive and performant UIs with user centered approach with frontend technologies including ReactJS, Javascript(ES 6), Typescript, SCSS, etc
• Write meaningful test cases for frontend &amp
• Integrate our products with 3rd party products/tools/services

• Develop Infrastructure for delivering services using a performance driven approach, build databases, schedule automated jobs, etc

Ideal Background / Experience

• At least 5 yrs of diverse experience in web development for product or services oriented environment with exposure to working production deployments
• Expertise in programming using Python/ReactJS or similar scripting languages
• In-depth exposure to technologies used in web-based SaaS products, including REST APIs
• Sound understanding of Postgres and NoSQL databases such as MongoDB

Nice to have exposure to any of

• AWS
• Azure
• ELK
• Object Relational Models (SQLAlchemy, etc)
• Google APIs
• Microservices Architecture Pattern
• NodeJS / ExpressJS

Work From Home

POSITION - MERN Full stack Developer" & MERN FULL STACK TECHNICAL LEAD

EXP: 4-10YRS 

Location: Noida,  WORK FROM OFFICE

NP: IMMEDIATE JOINED/15 DAYS

• In-depth knowledge of NodeJS, ExpressJS
• REST API Services Development with Node.js
• Front-end Application design and Development with React, 
• HTML / CSS/JavaScript
• Database Knowledge with MongoDB
• Design and Development of Dynamic web apps
  
  

Ideal candidate should be comfortable with Code Igniter, MySQL.

Additional Requirement - CI with installation process

Experience 3 to 5 yrs               

Notice period- Immediate to 15 days