Graduate Engineer Trainee (GET) – R&D (Paints)

Technical Skills Required:

• Frontend: Proficiency in HTML, CSS, JavaScript, and frameworks like React.js or Vue js.
• Backend: Hands-on experience with Node.js, PHP, or along with frameworks like Express.
• Database: Experience with relational databases like MySQL, PostgreSQL,
• Version Control: Familiarity with Git and Git-based workflows.
• Understanding of RESTful APIs and integration with third-party services.
• Basic knowledge of DevOps practices, CI/CD pipelines, and cloud platforms is a plus.

Qualifications:

• Bachelor’s degree in Computer Science, IT, or a related field.
• Proven experience working on full-stack development projects.
• Strong problem-solving and analytical skills.

Job Title: B2B Software Sales Executive

Company: Supaboard.ai

Location: HSR, Bangalore

Compensation: ₹8–10 LPA + Incentives( 4 LPA)

Experience Required: 2–5 years

About Supaboard.ai:

Supaboard.ai is a fast-growing SaaS company delivering AI-powered solutions to enterprises. We are seeking a results-driven B2B Software Sales Executive to expand our client base and accelerate growth in the Indian market.

Key Responsibilities:

• Identify and engage with potential business clients for Supaboard.ai’s software solutions.
• Develop and maintain strong relationships with existing clients to ensure repeat business and upselling opportunities.
• Conduct market research to identify new sales opportunities and stay updated with industry trends.
• Present and demonstrate Supaboard.ai’s offerings to prospective clients, tailoring pitches to client needs.
• Negotiate and close deals to meet or exceed monthly and quarterly sales targets.
• Collaborate with marketing and product teams to refine sales strategies and improve product-market fit.
• Provide after-sales support to ensure high client satisfaction and foster long-term partnerships.
• Track and report on sales performance metrics using CRM tools.

Requirements:

• 2–5 years’ experience in B2B software sales, SaaS sales, or enterprise solutions sales in the Indian market.
• Proven track record of meeting/exceeding sales targets in a B2B environment.
• Strong communication, negotiation, and presentation skills.
• Ability to understand client business needs and map them to software solutions.
• Experience with CRM software and sales reporting tools.
• Bachelor’s degree required; MBA/PGDM is a plus.
• Compensation & Benefits:
• Base Salary: ₹6–8 LPA, commensurate with experience.
• Incentives: Attractive performance-based incentives.
• Growth Opportunities: Fast-track career progression in a rapidly scaling SaaS company.

Who Should Apply:

If you are a proactive, goal-oriented sales professional with experience in B2B software or SaaS sales, and are looking to join an innovative AI-driven company, we want to hear from you.

How to Apply:

• Send your resume and a brief cover letter highlighting your relevant experience to admin(at the rate)supaboard.ai.

Job Description:

1) Good experience in Java

2) Hands-on experience in Spring boot

3) Hands-on experience in Microservices

About the Role

If you have a reputation for building rapport, the business acumen to undertake development with an eye for market expansion and can think creatively to find the ideal solution, we welcome your submission.

Your mission at ProApp

Customer facing: You will be connecting with customers directly to understand their experience and come up with best possible solutions for the business to grow.

Collaboration with multiple teams: You will work closely with multiple teams at ProApp to ensure smooth functioning of all the activities that leads to building a strong relationship with Customers.

Generate new business: This is an interesting activity where you play an important role of bringing a new customer leads on board from scratch.You will be required to Generate and Develop new business opportunities through various Lead Generation methods.

Requirements

Requirements to be a part of the PRO Team:

Approach - Willing to learn everyday and always ready to take on new challenges to grow.
Driven – extremely self-motivated with a diligent work ethic.
PS: You’re a bonafide hustler who never gives up
Honest - High level of integrity and strong commitment to build a successful pipeline Strong Stakeholder management and communication skills.
It would be great if you have some experience working in Sales/Business Development roles. If not, we are ready to train you if you have excellent communication skills and eagerness to learn.

Benefits

Why you should apply:

If you want to be play an important role in ProApp's future growth - It’s arguable that the offered position is the most important we have. If you are looking to jetpack your career and be valued for your commitment to hard work, this is the place. Work with the founding team directly: You will work directly with the Product Manager of the company, as a trusted alley to build in/outbound sales and drive qualified leads. Learning and Development: If learning and growing at a good pace is in your checklist then you are in the right place. We care about your growth and will provide you with responsibilities and opportunities to help you reach closer to your goal.

Job Description:

• Hands on experience with Ansible & Terraform.
• Scripting language, such as Python or Bash or PowerShell is required and willingness to learn and master others. 
• Troubleshooting and resolving automation, build, and CI/CD related issues (in cloud environment like AWS or Azure).
• Experience with Kubernetes is mandate.
• To develop and maintain tooling and environments for test and production environments.
• Assist team members in the development and maintenance of tooling for integration testing, performance testing, security testing, as well as source control systems (that includes working in CI systems like Azure DevOps, Team City, and orchestration tools like Octopus).
• Good with Linux environment.

• Expertise in designing and implementing enterprise scale database (OLTP) and Data warehouse solutions.
• Hands on experience in implementing Azure SQL Database, Azure SQL Date warehouse (Azure Synapse Analytics) and big data processing using Azure Databricks and Azure HD Insight.
• Expert in writing T-SQL programming for complex stored procedures, functions, views and query optimization.
• Should be aware of Database development for both on-premise and SAAS Applications using SQL Server and PostgreSQL.
• Experience in ETL and ELT implementations using Azure Data Factory V2 and SSIS.
• Experience and expertise in building machine learning models using Logistic and linear regression, Decision tree  and Random forest Algorithms.
• PolyBase queries for exporting and importing data into Azure Data Lake.
• Building data models both tabular and multidimensional using SQL Server data tools.
• Writing data preparation, cleaning and processing steps using Python, SCALA, and R.
• Programming experience using python libraries NumPy, Pandas and Matplotlib.
• Implementing NOSQL databases and writing queries using cypher.
• Designing end user visualizations using Power BI, QlikView and Tableau.
• Experience working with all versions of SQL Server 2005/2008/2008R2/2012/2014/2016/2017/2019
• Experience using the expression languages MDX and DAX.
• Experience in migrating on-premise SQL server database to Microsoft Azure.
• Hands on experience in using Azure blob storage, Azure Data Lake Storage Gen1 and Azure Data Lake Storage Gen2.
• Performance tuning complex SQL queries, hands on experience using SQL Extended events.
• Data modeling using Power BI for Adhoc reporting.
• Raw data load automation using T-SQL and SSIS
• Expert in migrating existing on-premise database to SQL Azure.
• Experience in using U-SQL for Azure Data Lake Analytics.
• Hands on experience in generating SSRS reports using MDX.
• Experience in designing predictive models using Python and SQL Server.
• Developing machine learning models using Azure Databricks and SQL Server

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