Solution Architect

Data Scientist-

We are looking for an experienced Data Scientists to join our engineering team and

help us enhance our mobile application with data. In this role, we're looking for

people who are passionate about developing ML/AI in various domains that solves

enterprise problems. We are keen on hiring someone who loves working in fast paced start-up environment and looking to solve some challenging engineering

problems.

As one of the earliest members in engineering, you will have the flexibility to design

the models and architecture from ground up. As any early-stage start-up, we expect

you to be comfortable wearing various hats, and be proactive contributor in building

something truly remarkable.

Responsibilities

Researches, develops and maintains machine learning and statistical models for

business requirements

Work across the spectrum of statistical modelling including supervised,

unsupervised, & deep learning techniques to apply the right level of solution to

the right problem Coordinate with different functional teams to monitor outcomes and refine/

improve the machine learning models Implements models to uncover patterns and predictions creating business value and innovation

Identify unexplored data opportunities for the business to unlock and maximize

the potential of digital data within the organization

Develop NLP concepts and algorithms to classify and summarize structured/unstructured text data

Qualifications

3+ years of experience solving complex business problems using machine

learning.

Fluency in programming languages such as Python, NLP and Bert, is a must

Strong analytical and critical thinking skills

Experience in building production quality models using state-of-the-art technologies 

Familiarity with databases like MySQL, Oracle, SQL Server, NoSQL, etc. is

desirable Ability to collaborate on projects and work independently when required.

Previous experience in Fintech/payments domain is a bonus

You should have Bachelor’s or Master’s degree in Computer Science, Statistics

or Mathematics or another quantitative field from a top tier Institute

We are looking for a Human Resources Manager that is committed to providing our staff members with exceptional work experience. From the moment of hire until the time they leave the organization, we want employees to be engaged in their jobs. Our ideal candidate will be skilled in managing compensation, benefits, recognition, training, performance management and employee relations in a manner that retains staff members long-term and builds our employer brand.

Note: We are not looking for Plant HR, Corporate Experience is Preferred.

Job Profile: HR Manager

Required Experience: 5-7 years of experience with Payroll Management, Employee Engagement, Compliance, etc.

Location: Alkapuri, Vadodara (On-Site)

Schedule: US Shift (7PM to 4AM)

Salary: 6-8 LPA (Depending on the profile)

Job Responsibilities:

Develop and implement HR strategies and initiatives aligned with the overall business strategy.

Bridge management and employee relations by addressing demands, grievances or other issues.

Support current and future business needs through the development, engagement, motivation and preservation of human capital.

Develop and monitor overall HR strategies, systems, tactics and procedures across the organization. Ensure legal compliance throughout human resource management.

Report to management and provide decision support through HR metrics.

Maintain pay plan and benefits program. Oversee and manage a performance appraisal system that drives high performance.

• Familiarize yourself with all services offered by our company.
• Excellent written and verbal communication.
• Experience with Using portal Upwork, PPH, Freelance
• Candidate from IT Background, Good knowledge. of IT Technologies. (WordPress, PHP, Shopify)
• Procuring new clients through direct contact, word-of-mouth, and collaboration with the marketing department.
• Attending networking activities to research and connect with prospective clients.
• Maintaining meaningful relationships with existing clients to ensure that they are retained.
• Crafting business proposals and contracts to draw in more revenue from clients.

• Core Java  (Collections,  Annotations, Threads, Exceptions)
  Java 8  ( Must)
  Spring Core (Must)
  Spring Boot, Spring Cloud, Micro services (Must)
  Angular / React , Bootstrap ( Good to have)
  Docker / Kubernetes  ( Good to have) Pivotal Cloud Foundry / Tanzu Services ( Good to have)

Job Description:

• Code and test programming for software and mobile apps.
• Develop and deploy computer applications.
• Execute code builds to test and production environments.
• Fix bugs in existing code.
• Collaborate with product, design, and marketing teams.
• Creating top-quality applications.
• Collaborating with front-end developers.
• Ensuring that junior staff delivers according to standards.
• Improving functionality.
• Using the most updated and appropriate technologies.
• Designing and building application layers.

Sills required:

           .Net, Java & SQL Database

What you will be doing:

As a part of the Global Credit Risk and Data Analytics team, this person will be responsible for carrying out analytical initiatives which will be as follows: -

• Dive into the data and identify patterns
• Development of end-to-end Credit models and credit policy for our existing credit products
• Leverage alternate data to develop best-in-class underwriting models
• Working on Big Data to develop risk analytical solutions
• Development of Fraud models and fraud rule engine
• Collaborate with various stakeholders (e.g. tech, product) to understand and design best solutions which can be implemented
• Working on cutting-edge techniques e.g. machine learning and deep learning models

Example of projects done in past:

• Lazypay Credit Risk model using CatBoost modelling technique ; end-to-end pipeline for feature engineering and model deployment in production using Python
• Fraud model development, deployment and rules for EMEA region

Basic Requirements:

• 1-3 years of work experience as a Data scientist (in Credit domain)
• 2016 or 2017 batch from a premium college (e.g B.Tech. from IITs, NITs, Economics from DSE/ISI etc)
• Strong problem solving and understand and execute complex analysis
• Experience in at least one of the languages - R/Python/SAS and SQL
• Experience in in Credit industry (Fintech/bank)
• Familiarity with the best practices of Data Science

Add-on Skills : 

• Experience in working with big data
• Solid coding practices
• Passion for building new tools/algorithms
• Experience in developing Machine Learning models