Graphic Designer

As a Sales Associate, you'll have the opportunity to contribute to MHFA India’s success by expanding our customer base and establishing long-term relationships. If you're a motivated self-starter with excellent communication skills and a knack for building rapport, we want to hear from you!

Key Responsibilities:

·       Prospect and qualify leads to generate new business opportunities.

·       Conduct product presentations and demonstrations to potential clients.

·       Build and maintain strong relationships with clients to understand their needs and provide appropriate solutions.

·       Achieve sales targets and contribute to revenue growth.

·       Continuously stay updated on industry trends and product knowledge.

·       Bachelor's degree in Business, Marketing, or a related field.

·       1-3 years (for Associate) and 4-6 years (Senior Associate) of experience in sales or business development roles.

·       Proven track record of meeting or exceeding sales targets.

·       Strong communication and negotiation skills.

·       Self-motivated and goal-oriented with a drive for success.

·       Ability to thrive in a collaborative team environment.

Job Summary

Hitasoft, a web and mobile application development company is looking for a Full Stack Developer(MERN) to produce scalable software solutions. You'll be part of a cross-functional team that's responsible for the full software development life cycle, from conception to deployment.

As a Full Stack Developer, you should be comfortable around both front-end and back-end coding languages, development frameworks, and third-party libraries. You should also be a team player with a knack for visual design and utility.

The job location is Madurai.

Responsibilities

Binding of UI elements to JavaScript object models

Creating RESTful services with Node.js

MERN stack developer must have proven experience in front & back-end development.

Work in a cross-functional team to deliver a complete user experience.

Developer must expertise into MongoDB, Express, Node.js, & React.

Create Unit and Integration tests to ensure the quality of code.

MERN full stack developer must have the ability to wear many hats and learn new technologies quickly.

Understanding & proficiency in REST APIs.

MERN stack developer should know Git Repository and Jira.

Integration of data storage solutions [RDBMS, NoSQL DB].

Work with development teams and product managers to ideate software solutions.

Develop and manage well-functioning databases and applications.

Test software to ensure responsiveness and efficiency.

Create security and data protection settings.

Requirements

MERN Full stack eCommerce developer is responsible for writing reusable, testable, and efficient code.

Design and implementation of low-latency, high-availability, and performant applications.

Implementation of security and data protection.

Understanding of performance testing and optimization techniques.

MERN software developers must have good communication & interpersonal skills.

Ability to work independently with minimum supervision.

React JS Developer

Exp - 5+ years

Skills: React, Redux, Javascript, HTML, CSS
Location: Bangalore, Hyderabad, Chennai

Opportunity in our Product Team?
Our system has over 4 products & 12 modules designed by product managers working with banking & finance experts. The company’s growth from here is based on a multi-product strategy. The way we’re scaling our product team is in-line with the company’s strategy.

Your customers are the CFOs & Finance Teams in mid to large scale enterprise businesses and you will build these products to solve the problems faced by them.

You’ll become familiar with all parts of our stack from end to end. You’ll design and implement features to be scalable and resilient by working with both our infrastructure engineers and our product engineers. You’ll be a driver for positive change to Finly’s engineering culture, processes and technology.

Here are some examples of the projects in the different products:
Payment automation by building a deep integration with multiple banking systems:

• Governance frameworks with policy controlled workflows.
• Core finance document management system.
• Automating reconciliation of transactions across business
• Collaboration tools among finance, vendors & employees.
• Continuous ETL for integrating with CRMs like Salesforce & Accounting Systems like SAP.

WITHIN 1 MONTH, YOU'LL

• Complete Finly’s new-hire training week, and learn Accounts Payable
• Processes & the various partners we work with to make Finly happen.
• Investigate, solve and release a bug fix to production. In order to do this you will ramp up on Finly’s engineering stack by pair-programming with your teammates and attending engineering training sessions designed and presented by the team.
• Meet with cross-functional peers around the company to learn how the product functions.
• Complete your engineering starter project and deploy your first changes to production.

WITHIN 3 MONTHS, YOU'LL

• Individually contribute reliably ship full features to customers.
• Own major product areas and take features from mock to deploy.
• Estimate technical scope and time to complete major features and initiatives.

WITHIN 6 MONTHS, YOU'LL

• Move to new product vertical & initiative and start designing and architecting scalable systems as per the requirements discussed with Product Manager.
• Have made a visible impact on the product for all the users of Finly.
• Work closely with your team to remove roadblocks, educate on best practices and improve how we work.
• Be comfortable navigating most of our stack and infrastructure
• Be responsible for the planning, scoping, design, and implementation of new features
• Participate in interviewing and hiring, as a way to influence team growth and how our values inform our culture

WITHIN 12 MONTHS, YOU'LL

• Individually contribute and lead teams to reliably ship full features to customers.
• Estimate technical scope and time to complete major products and initiatives.
• Define tools and standards for product engineering to measure performance impact of releases
• Help grow other engineers technically by mentoring, pairing and developing other learning opportunities
• Collaborate with engineering and product leadership to define priorities and set delivery goals.

So in this role, you will work with the respective team’s product manager and other engineers in that team. You may work on the front-end or backend or both based on the requirement of the project.

Join us & have the authority and responsibility to make things happen!

Today, MoEngage is an industry pioneer in the space and engages more than 350M devices. This includes approximately 40B events tracked per month, 30B+ messages sent, to millions of users across the globe.

As part of the Engineering team at MoEngage, here are some things you can expect:

• Take ownership and be responsible for what you build - no micro management
• Work with A players (some of the best talent in the country), and expedite your learning curve and career growth
• Make in India and build for the world at scale of 350M active users, which no other internet company in the country has seen
• Learn together from different teams on how they scale to millions of users and billions of messages. 
• Explore the latest in topics like Data Pipeline, MongoDB, ElasticSearch, Kafka, Spark, Samza and share with the team and more importantly have fun while you work on scaling MoEngage.

Skills required:

- Minimum 2 year experience in Android Development

- Good understanding of Java Programming language

    - OOPs concepts

    - Multi-threading

- Good understanding of Android Framework

    - Framework Components

    - Data Storage/Persistence

    - Offline support for application

    - Rest APIs

Good to Have:

- Knowledge and understanding of Kotlin

- Experience in building dynamic UI

- Knowledge of hybrid frameworks like React-Native/Cordova/Xamarin/Flutter, etc.

About Mastercard

We are the global technology company behind the world’s fastest payments processing network.

We are a vehicle for commerce, a connection to financial systems for the previously excluded, a technology innovation lab, and the home of Priceless.

We ensure every employee has the opportunity to be a part of something bigger and to change lives.

We believe as our company grows, so should you.

We believe in connecting everyone to endless, priceless possibilities.

Overview Services and Data is helping to shape the future of data insights by leveraging billions of anonymized, aggregated transactions in a 10 petabyte date warehouse to help financial institutions, merchants, media, and governments manage their businesses more effectively.

Advanced Analytics is charged with servicing clients by centralizing and optimizing the world class analytical, modeling, software coding, data sourcing, product development, product management, econometrics, and associated delivery capabilities of the MasterCard Advisors organization.

It focuses on creating innovative technology solutions which leverage technology in the data science, artificial intelligence and analytics arenas; on enabling the field with industrialized, repeatable products and on researching and incubating emerging technology to determine how they might apply to our customers and facilitate positive outcomes.

What we are re looking for

• Are you motivated by developing new Analytical skills, leading to insights into issues and developing recommendations that add real value to clients?
• Have you managed the client independently and effectively?
• Do you want to play a key role in driving a world beyond cash?
• Leading the formulation of artificial intelligence and machine learning solution objectives. Working on technical requirements based on user need.
• Responsible for creating the framework of solutions that take data intensive and complex business challenges and provide easily consumed and automated outcomes
• Using unique visualization techniques, condenses large volumes of complex ideas into elegant and simple visual models
• Determine opportunities to exploit new data sources or leverage new outcomes from existing data sources, by applying new models and algorithms to create business value
• Influences a client's strategic decisions by using deep industry expertise and deploying innovative Deep Learning analytics solutions in the operational systems Leadership Skills
• Works closely with clients/internal stakeholders to understand their business needs and design a technical solution
• Proving viability of the solution through mechanisms like proof-of-concepts
• Thought Leadership in AI – Developing compelling audience-specific messages and tools. Capture and share best practices and insights internally and with partners and customers.
• Self-driven, energetic, creative with ability to work in global teams.
• Excellent communication skills and a wide knowledge base, to convince the Stakeholders on application of AI/ML
• Provide technical leadership to the team members in relevant topics on AI/ML
• Adaptable - Takes in stride and constantly attunes to the changing needs of a highly dynamic business
• Curious - our key contributors are always seeking to grow their knowledge, to gain new perspectives, and to find better ways forward by researching and showcasing latest AI tools, techniques and applications
• Tenacious - self-starters who will take ownership of projects and bring them to completion despite difficulties or setbacks
• Consulting and Project Management Experience preferred

Functional and Technical Skills

• Experience in building and implementing AI application in any of the two domains - Fraud, risk, marketing, finance, operations for Banks, Fintech, Ecommerce, merchants or retailers
• Has a deep understanding of business value industry requirements and advanced analytic models (statistical, operations research, computing process)
• Responsible for building applications using artificial intelligence/machine learning technology, applying latest industrial and academic developments, prefer Kaggle hackathon participant
• Expertise in deep learning frameworks for Production Systems like Tensorflow, Keras (for RPD and neural net architecture evaluation), PyTorch and Xgboost, Caffe, Theono
• Proficient in Deep Learning algorithm techniques like Random Forest, GBM, KNN, SVM, Bayesian, Text Mining techniques, Multilayer Perceptron, Neural Networks – Feedforward, CNN, LSTM’s GRU’s.
• Optimization techniques – Activity regularization (L1 and L2), Adam, Adagrad, Adadelta concepts; Cost Functions in Neural Nets – Contrastive Loss, Hinge Loss, Binary Cross entropy, Categorical Cross entropy; developed applications in KRR, NLP, Speech and Image processing
• Expertise in classical Machine Learning algorithms like Logistic Regression, Decision trees, Clustering (K-means, Hierarchical and Self-organizing Maps), TSNE, PCA, Bayesian models, Time Series ARIMA/ARMA, Recommender Systems - Collaborative Filtering, FPMC, FISM, Fossil etc
• Extensive experience in statistical tools and programming environments like Python, R, SAS, SQL
• Experience with BIG DATA platforms - Hadoop, Hive, Spark, GPU Clusters for deep learning

Qualifications

• Minimum Graduate degree in Mathematics/Computer Science/Engineering