Admssion counselor

Strong SaaS Customer Success Manager / Account Management profile

Mandatory (Experience): Must have 2+ years of experience as a CSM/Account Management in a SaaS-based product company or survey platform companies

Mandatory (Skill 1): Must have experience driving product/platform adoption among clients

Mandatory (Skill 2): Must have experience in upselling and cross-selling SaaS solutions, handling commercial discussions, and managing account growth

Mandatory (Skill 3): Must have strong strategic thinking and excellent communication skills

Mandatory (Company): B2B SaaS product companies or Survey platforms

Mandatory (Note): This is a hybrid role with one position based in Mumbai and another position in Gurgaon

Key Responsibilities 

Develop and deploy scalable AI-powered applications using the Python stack. 

Leverage cutting-edge AI/ML technologies such as LangChain, LangGraph, AutoGen, Phidata, CrewAI Hugging Face, OpenAI APIs, PyTorch, TensorFlow, and other advanced frameworks to build innovative AI applications. Write clean, efficient, and well-documented code adhering to best practices. 

Build and manage robust APIs for integrating AI solutions into applications. 

Research and experiment with emerging technologies to discover new AI-driven use cases. 

Deploy and manage AI solutions in cloud environments (AWS, Azure, GCP), ensuring security, scalability, and performance. 

Collaborate with product managers, engineers, and UX/UI designers to define AI application requirements and align them with business objectives. 

Apply MLOps principles to streamline AI model deployment, monitoring, and optimization. 

Solve complex problems using foundational knowledge of generative AI, machine learning, and data processing techniques. 

Contribute to continuous improvement of development processes and practices. 

Resolve production issues by conducting effective troubleshooting and root cause analysis (RCA) within SLAs. Work with operations teams to support product deployment and issue resolution. 

Requirements 

Educational Background 

Bachelor’s or Master’s degree in Computer Science or related fields with a strong academic track record. Experience 

Technical Skills: 

3+ years of hands-on experience in building and deploying AI applications on Python stack. Strong knowledge of Python and related frameworks. 

Good knowledge of few of the AI/ML frameworks and agentic frameworks and platforms like LangChain, LangGraph, AutoGen, Hugging Face, CrewAI, OpenAI APIs, PyTorch, and TensorFlow etc. 

Experience with AI/ML workflows, including data preparation, model deployment, and optimization. Proficiency in building and consuming RESTful APIs for connecting AI models with web applications. Knowledge of MLOps tools and practices, including model lifecycle management, CI/CD for AI, and model monitoring.

Familiarity with cloud platforms like AWS, Azure, or Google Cloud, including containerization (Docker) and orchestration (Kubernetes). 

Experience with CI/CD pipelines, version control (Git), and automation frameworks. Strong understanding of algorithms, AI/ML fundamentals, and data preprocessing techniques. 

Soft Skills: 

Passion for exploring, experimenting and implementing emerging AI technologies. Self-starter who can independently and collaboratively in a fast-paced environment. Excellent problem-solving and analytical abilities to tackle complex challenges. 

Effective communication skills to explain AI concepts and strategies to stakeholders. 

• Provide technology strategy planning
•  Integrate information technologies into the company for optimal effectiveness
•  Understand current and future business goals and ongoing IT issues to ensure business success
•  Develop a renewal and upgrade schedule for company software programs
• The candidate will be responsible to start and complete projects on a scheduled basis, inclined to maintain highest standard of quality.
• Analyzing scope of work, project sequencing, resource planning, time estimation, scheduling, cost estimation, risk analysis are a set of responsibilities.
• Monitor project performance and take proactive action to ensure projects are adhering to timelines set.

• Handling Overall Pre - Post Sales Department.
• Coordinating with the departments.
• Customer query resolution.

Hi Kirti,

Job Title: Data Analytics Engineer

Experience: 3 to 6 years

 Location: Gurgaon (Hybrid)

Employment Type: Full-time

Job Description: 

We are seeking a highly skilled Data Analytics Engineer with expertise in Qlik Replicate, Qlik Compose, and Data Warehousing to build and maintain robust data pipelines. The ideal candidate will have hands-on experience with Change Data Capture (CDC) pipelines from various sources, an understanding of Bronze, Silver, and Gold data layers, SQL querying for data warehouses like Amazon Redshift, and experience with Data Lakes using S3. A foundational understanding of Apache Parquet and Python is also desirable. 

Key Responsibilities: 

1. Data Pipeline Development & Maintenance 

• Design, develop, and maintain ETL/ELT pipelines using Qlik Replicate and Qlik Compose. 
• Ensure seamless data replication and transformation across multiple systems. 
• Implement and optimize CDC-based data pipelines from various source systems. 

2. Data Layering & Warehouse Management 

• Implement Bronze, Silver, and Gold layer architectures to optimize data workflows. 
• Design and manage data pipelines for structured and unstructured data. 
• Ensure data integrity and quality within Redshift and other analytical data stores. 

3. Database Management & SQL Development 

• Write, optimize, and troubleshoot complex SQL queries for data warehouses like Redshift. 
• Design and implement data models that support business intelligence and analytics use cases. 

4. Data Lakes & Storage Optimization 

• Work with AWS S3-based Data Lakes to store and manage large-scale datasets. 
• Optimize data ingestion and retrieval using Apache Parquet. 

5. Data Integration & Automation 

• Integrate diverse data sources into a centralized analytics platform. 
• Automate workflows to improve efficiency and reduce manual effort. 
• Leverage Python for scripting, automation, and data manipulation where necessary. 

6. Performance Optimization & Monitoring 

• Monitor data pipelines for failures and implement recovery strategies. 
• Optimize data flows for better performance, scalability, and cost-effectiveness. 
• Troubleshoot and resolve ETL and data replication issues proactively. 

Technical Expertise Required: 

• 3 to 6 years of experience in Data Engineering, ETL Development, or related roles. 
• Hands-on experience with Qlik Replicate & Qlik Compose for data integration. 
• Strong SQL expertise, with experience in writing and optimizing queries for Redshift. 
• Experience working with Bronze, Silver, and Gold layer architectures. 
• Knowledge of Change Data Capture (CDC) pipelines from multiple sources. 
• Experience working with AWS S3 Data Lakes. 
• Experience working with Apache Parquet for data storage optimization. 
• Basic understanding of Python for automation and data processing. 
• Experience in cloud-based data architectures (AWS, Azure, GCP) is a plus. 
• Strong analytical and problem-solving skills. 
• Ability to work in a fast-paced, agile environment. 

Preferred Qualifications: 

• Experience in performance tuning and cost optimization in Redshift. 
• Familiarity with big data technologies such as Spark or Hadoop. 
• Understanding of data governance and security best practices. 
• Exposure to data visualization tools such as Qlik Sense, Tableau, or Power BI. 

Main tasks

• Test preparation (test design, creation of test specifications and test cases for regression tests and tests of new and further developments)
• Sprint-accompanying testing in the Scrum team
• Test evaluation/documentation of the test results
• Cypress testing tool hands-on experience for Automation testing
• Further development of existing test automation processes
• Close cooperation with the SOL business unit and the test departments at other locations

Qualification profile

• Completed degree or comparable training with an IT background
• Affinity and many years of experience in systematic testing of software products
• Excellent ability to work in a team and an independent, structured way of working
• Practical knowledge of the application of test methods and quality management standards as well as test automation knowledge is advantageous
• Fluent in English

Sr Enterprise Software Architect with Cloud skills and preferably having either a GCP Associate or Professional Certification.

The requirement is to understand existing Enterprise Applications and help design a solution to enable Load balancing & Auto Scaling the application to meet certain KPIs.

Should be well versed with

1. Designing and Deploying Large enterprise software in Cloud
2. Understands Cloud fundamentals
3. DevOps & Kubernetes
4. Experience deploying cloud applications and monitoring operations
5. Preferably Google Cloud
6. Associate or Professional Certification.

Job Responsibilities:

• You will build new features across everything from the backend logic to UI components.
• Working on back-end web development using core PHP/ Laravel framework. 
• You have a good understanding of backend and database technologies. This means that you are comfortable owning and working on a feature end-to-end on both its frontend and backend parts.
• Working on database management and operations using MySQL
• Explore new technologies, new platforms, API integration and development, database development, etc. to help the company build desired product 
• Ability to write clean, scalable, and highly testable code
• Solid understanding of software development best practices

We are looking for a Java Developer with experience in building high-performing, scalable, enterprise-grade applications.

You will be part of a talented software team that works on mission-critical applications. Java developer roles and responsibilities include managing Java/Java EE application development while providing expertise in the full software development lifecycle, from concept and design to testing.

Java developer responsibilities include designing, developing and delivering high-volume, low-latency applications for mission-critical systems.

• Contribute in all phases of the development lifecycle
• Write well designed, testable, efficient code
• Ensure designs are in compliance with specifications
• Prepare and produce releases of software components
• Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review

• BS/MS degree in Computer Science, Engineering or a related subject
• Proven hands-on Software Development experience (Microservices & Springboot)
• Proven working experience in Java development
• Hands on experience in designing and developing applications using Java EE platforms
• Object Oriented analysis and design using common design patterns.
• Excellent knowledge of Relational Databases, SQL and ORM technologies (JPA2, Hibernate)
• Experience in the Spring Framework
• Experience in developing web applications using at least one popular web framework (Spring MVC)
• Experience with test-driven development

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