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We're seeking a qualified sales associate to sell annual car and bike Scotty subscription products that our customers have grown to rely on. The sales associate will utilize their skills to generate high-quality leads, build strong relationships with customers, and close deals. The ideal candidate has skills and demonstrates the ability to showcase our offerings compellingly. 

Job Location: Work from home

Selection process: HR Round followed by group discussion and sales manager round.

Qualification: Any Graduate/Post Graduate

Salary offered: As per industry standards

Working days: 6 days          Sunday is off

Shifts:10:00am -7:00pm

Mandatory language: English 

Laptop/wi-fi: candidates are to use their own laptops,

Additional Compensation: If applicable, this will be decided on the basis of your designation.

Role: Data Engineer  
Company: PayU

Location: Bangalore/ Mumbai

Experience : 2-5 yrs

About Company:

PayU is the payments and fintech business of Prosus, a global consumer internet group and one of the largest technology investors in the world. Operating and investing globally in markets with long-term growth potential, Prosus builds leading consumer internet companies that empower people and enrich communities.

The leading online payment service provider in 36 countries, PayU is dedicated to creating a fast, simple and efficient payment process for merchants and buyers. Focused on empowering people through financial services and creating a world without financial borders where everyone can prosper, PayU is one of the biggest investors in the fintech space globally, with investments totalling $700 million- to date. PayU also specializes in credit products and services for emerging markets across the globe. We are dedicated to removing risks to merchants, allowing consumers to use credit in ways that suit them and enabling a greater number of global citizens to access credit services.

Our local operations in Asia, Central and Eastern Europe, Latin America, the Middle East, Africa and South East Asia enable us to combine the expertise of high growth companies with our own unique local knowledge and technology to ensure that our customers have access to the best financial services.

India is the biggest market for PayU globally and the company has already invested $400 million in this region in last 4 years. PayU in its next phase of growth is developing a full regional fintech ecosystem providing multiple digital financial services in one integrated experience. We are going to do this through 3 mechanisms: build, co-build/partner; select strategic investments. 

PayU supports over 350,000+ merchants and millions of consumers making payments online with over 250 payment methods and 1,800+ payment specialists. The markets in which PayU operates represent a potential consumer base of nearly 2.3 billion people and a huge growth potential for merchants. 

Job responsibilities:

• Design infrastructure for data, especially for but not limited to consumption in machine learning applications 
• Define database architecture needed to combine and link data, and ensure integrity across different sources 
• Ensure performance of data systems for machine learning to customer-facing web and mobile applications using cutting-edge open source frameworks, to highly available RESTful services, to back-end Java based systems 
• Work with large, fast, complex data sets to solve difficult, non-routine analysis problems, applying advanced data handling techniques if needed 
• Build data pipelines, includes implementing, testing, and maintaining infrastructural components related to the data engineering stack.
• Work closely with Data Engineers, ML Engineers and SREs to gather data engineering requirements to prototype, develop, validate and deploy data science and machine learning solutions

Requirements to be successful in this role: 

• Strong knowledge and experience in Python, Pandas, Data wrangling, ETL processes, statistics, data visualisation, Data Modelling and Informatica.
• Strong experience with scalable compute solutions such as in Kafka, Snowflake
• Strong experience with workflow management libraries and tools such as Airflow, AWS Step Functions etc. 
• Strong experience with data engineering practices (i.e. data ingestion pipelines and ETL) 
• A good understanding of machine learning methods, algorithms, pipelines, testing practices and frameworks 
• Preferred) MEng/MSc/PhD degree in computer science, engineering, mathematics, physics, or equivalent (preference: DS/ AI) 
• Experience with designing and implementing tools that support sharing of data, code, practices across organizations at scale 

Responsibilities

• Work on execution and scheduling of all tasks related to assigned projects' deliverable dates
• Optimize and debug existing codes to make them scalable and improve performance
• Design, development, and delivery of tested code and machine learning models into production environments
• Work effectively in teams, managing and leading teams
• Provide effective, constructive feedback to the delivery leader
• Manage client expectations and work with an agile mindset with machine learning and AI technology
• Design and prototype data-driven solutions

Eligibility

• Highly experienced in designing, building, and shipping scalable and production-quality machine learning algorithms in the field of Python applications
• Working knowledge and experience in NLP core components (NER, Entity Disambiguation, etc.)
• In-depth expertise in Data Munging and Storage (Experienced in SQL, NoSQL, MongoDB, Graph Databases)
• Expertise in writing scalable APIs for machine learning models
• Experience with maintaining code logs, task schedulers, and security
• Working knowledge of machine learning techniques, feed-forward, recurrent and convolutional neural networks, entropy models, supervised and unsupervised learning
• Experience with at least one of the following: Keras, Tensorflow, Caffe, or PyTorch

As an IT Product Sales Person at UTS, you will play a pivotal role in driving the growth of our IT product sales within the Chennai region. You will be responsible for identifying and targeting potential clients, understanding their IT requirements, and presenting them with tailored solutions from our product portfolio. Your role will involve building and nurturing client relationships, collaborating with the sales team, and contributing to the achievement of revenue targets.

About the role(s):

Software development and platform engineering has driven our success and growth of our platform & data businesses. We are now looking for more developers to join our team and help us build the best financial inclusion platform in the world. You'll be an integral part of product development team working collaboratively with cross functional team of business heads, product managers, credit risk experts, data scientists and technologists to iteratively design and build fintech products. You'll be constantly be challenged and you'll have the freedom to discover and advocate new technologies. 

Requirements:

We are looking for people who are truly full stack, and are as comfortable working on javascript front end as they are debugging database interactions, or improving their CloudFormation templates. While we are open to any degree and colleges, we are look for people who prides in being a coder and have demonstrable (3+ years) experience in software development. In particular we look for people who can:

• Code backend services, ideally using Node.js or Java, or other server side compiled language.
• Design and develop Rest API with integrations to lots of external systems. Experience of GraphQL is an advantage
• Develop modern and secure web front ends, ideally using React, Express and Redux.
• Interface with No-SQL/ MongoDB or SQL based data bases (PortgresSQL).
• Deploy their code into the cloud and support it there, ideally on AWS and GitHub. Experience with kubernetes and serverless is an advantage.
• Deliver in agile manner while coding cleanly, automating testing and clean coding, simple solutions, automated testing and continuous deployment.
• Takes ownership of a feature from the original idea through to live.

Attractive salary compensation including employee stock options, 10% time free to pursue own project, paid training and education support.

We truly practice flexible time with focus on output and core hours for team collaboration. While we are mostly working remotely at Fundfina and are open to applications across India, we will prefer that you are open to commuting to Mumbai or Bangalore or Delhi offices when required.

By submitting your application, you agree that Fundfina may collect your personal data for recruitment purposes.