Job Type: Full time 

Experience: 4+ years 

Job description: 

• 4 years of minimum experience in software development following best practices and coding standards, with a special focus on .NET Core is required. 
• Strong proficiency needed in C# and the .NET Core framework. 
• Write efficient, maintainable, and clean code in C# and other relevant technologies. Implement new features, make upgrades or enhancements and fix bugs to meet project goals. 
• Extensive experience with HTML, CSS, JavaScript and other front-end technologies. 
• Strong hold on database design and development, preferably with SQL Server or other relational databases. 
• Familiarity with agile development methodologies. 
• Ensuring scalability, high performance, and utmost security by contributing to the design and architecture of software systems. Collaborate with architects to define technical solutions. 
• Participate in code reviews and perform unit testing to ensure software quality. Ensuring and enhancing the reliability of applications through resolving software defects. 
• Exceptional problem-solving and analytical skills needed. 
• Strong interpersonal and communication skills required. Collaboratively work with cross-functional teams, including product managers, designers, and other developers, to gather and comprehend the requirements and ensure timely deliveries. 

Job Description:

We are seeking a highly experienced Lead Data Scientist to define and drive the data science strategy across predictive analytics, promotion simulation, consumer trend modeling, and computer vision initiatives. This role involves leading the design, development, and deployment of advanced AI and machine learning solutions that enable data-driven decision-making across marketing, sales, and innovation functions.

The ideal candidate is a hands-on leader who can balance strategic direction with technical depth — mentoring the team while delivering production-grade models that generate measurable business impact.

Role Focus:

• Define and oversee modeling frameworks for forecasting, consumer analytics, and computer vision.

• Translate complex business challenges into scalable data science solutions.

• Build, validate, and optimize predictive and simulation models for demand forecasting and promotion impact.

• Lead the design of AI-based applications including image recognition, trend detection, and innovation analytics.

• Ensure strong MLOps, model governance, and data quality practices.

• Partner with stakeholders across marketing, technology, and operations to integrate models into business workflows.

Key Skills & Responsibilities

• Advanced Machine Learning & AI: Proficiency in regression, classification, clustering, NLP, and computer vision models

• Predictive Modeling: Expertise in forecasting, time-series (ARIMA, Prophet, LSTM), and causal inference.

•  Promotion & Consumer Analytics: Experience developing simulation models for pricing, promotions, and ROI analysis.

•  Computer Vision: Hands-on with OpenCV, YOLO, or Detectron2 for visual analytics, shelf detection, and product recognition.

•  Technical Proficiency: Strong coding skills in Python/R, SQL, and experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn).

•  MLOps & Deployment: Skilled in Azure ML, Databricks, or AWS SageMaker for scalable model deployment and monitoring.

•  Visualization: Strong data storytelling abilities using Power BI or Tableau.

•  Leadership: Mentor junior data scientists, establish best practices, and ensure alignment with business goals.

Additional Qualities

• Excellent analytical and strategic thinking skills.

•  Proven ability to deliver end-to-end AI projects in complex environments.

•  Strong communication and stakeholder management capabilities.

• Passion for leveraging AI/ML to solve real-world business challenges.

Preferred Experience

• 8–12 years of experience in data science, including leadership or mentoring responsibilities.

• Experience in predictive analytics, consumer insights, or computer vision projects.

•  Exposure to marketing mix modeling, A/B testing, and campaign optimization.

• Familiarity with cloud data ecosystems (Azure, AWS, GCP) and CI/CD for ML pipelines.

Job Description:

Power BI Developer – Business Intelligence Team

Role Focus:
Design, develop, and optimize Power BI dashboards and SQL-based data models to deliver actionable insights across business functions. Collaborate with stakeholders and data teams to enhance reporting efficiency and accuracy.

Key Skills & Experience

• Power BI Development

• Build, publish, and optimize Power BI dashboards and data models.
• Strong in DAX, data modeling, and performance tuning.
• Implement row-level security and visualization best practices.

• SQL Development

• Write efficient SQL queries for data extraction and transformation.
• Experience with data warehousing and dimensional modeling.
• Work on performance optimization and query tuning.

• Data Integration & Governance

• Work with Azure SQL, Synapse, SAP/BW, and APIs.
• Ensure data accuracy, consistency, and security in reports.

• Collaboration & Analysis

• Partner with business teams to define KPIs and metrics.
• Translate requirements into meaningful, automated dashboards.

Additional Qualities

• Strong analytical and problem-solving mindset.
• Excellent communication and teamwork skills.
• Passion for continuous learning in BI tools and Azure data technologies.

Preferred Experience

• 3–7 years in Business Intelligence or Data Analytics.
• Hands-on with Power BI, SQL, and Azure data services.
• Exposure to SAP/BW, Databricks, or enterprise-scale BI projects preferred.

Job Description: 

End-to-End Testing Engineer – Life Insurance Domain

About the Role

We are seeking skilled End-to-End Testing Engineers with strong expertise in the Life Insurance domain. The role involves testing across multiple systems—new business systems, admin systems, downstream systems, and online platforms—to ensure seamless policy validation and end-to-end process coverage.

Key Responsibilities

• Develop and execute test strategies, test plans, and test cases for life insurance applications.
• Perform end-to-end testing across multiple systems including:
  • Aegis, ELE, nbA, SmartFix, Life70 (Admin System)
  • Andesa, COIL, downstream systems (commissions, online portals like CHBM)
• Conduct functional and system testing for:
  • New business functions
  • Admin system functions
  • ASL check system
  • Proposal/Aegie testing
  • Post level term validations
• Collaborate with cross-functional teams to ensure comprehensive test coverage.
• Report, track, and verify defects to closure.

Required Skills & Technologies

• Automation & Functional Testing Tools: Selenium, Postman, UI Path (RPA)
• Programming & Scripting: Python, SQL
• Testing Areas: API, ETL, Mainframe, Database Testing
• Databases: Oracle
• Strong understanding of Life Insurance ecosystem and related systems

Domain Knowledge

• In-depth knowledge of Life Insurance products and processes
• Experience in policy lifecycle testing (new business to admin & downstream functions)
•  

Qualifications

• Bachelor’s degree in Computer Science, IT, or related field (preferred).
• 5+ years of experience in software testing, with focus on life insurance systems.
• Proven ability to work in an offshore model, aligning with US EST time zone.

Job Type: Full time (Remote)

Years of Exp: 6+ Years

Job Description

Key Responsibilities:

• Designing and Developing AI models: This includes creating architectures, algorithms, and frameworks for generative AI.
• Implementing AI models: This involves building and integrating AI models into existing systems and applications.
• Working with LLMs and other AI technologies: This includes using tools and techniques like LangChain, Haystack, and prompt engineering.
• Data preprocessing and analysis: This involves preparing data for use in AI models.
• Collaborating with other teams: This includes working with data scientists, product managers, and other stakeholders.
• Testing and deploying AI models: This involves evaluating model performance and deploying them to production environments.
• Monitoring and optimizing AI models: This involves tracking model performance, identifying issues, and optimizing models for better results.
• Staying up to date with the latest advancements in Gen AI: This includes learning about new techniques, models, and frameworks.

Required Skills:

• Strong programming skills in Python: Python is the preferred language for AI development.
• Knowledge of Generative AI, NLP, and LLMs: This includes understanding the principles behind these technologies and how to use them effectively.
• Experience with RAG pipelines and vector databases: This includes understanding how to build and use retrieval-augmented generation pipelines.
• Familiarity with AI frameworks and libraries: This includes knowledge of frameworks like LangChain, Haystack, and open-source libraries.
• Understanding of prompt engineering and tokenization: This includes understanding how to optimize prompts and manage tokenization.
• Experience in integrating and fine-tuning AI models: This includes knowledge of deploying and maintaining AI models in production environments.
• Excellent communication and problem-solving skills: This includes the ability to communicate complex technical concepts to non-technical stakeholders.

Optional Skills:

• Experience with cloud computing platforms (GCP, AWS, Azure): This can be helpful for deploying and managing AI models.
• Familiarity with MLOps practices: This can help with building and deploying AI models in a scalable and reliable manner.
• Experience with DevOps practices: This can help with automating the development and deployment of AI models.

Job Type: Full time  

Years of Experience: 8+ years 

Job description:  

• Highly skilled and experience in Software Development Life Cycle (SDLC). 
• Mandatory experience with .NET Core 2. 
• Minimum 5 years of experience with Angular 8. 
• Proficiency in Web API, C#, and jQuery. 
• Familiarity with Oracle Database or SQL Server (Oracle preferred). 
• Exposure to Windows and Web services. 
• Should have good knowledge of Redis and Rabbit MQ. 
• Responsibilities include analyzing business objectives, devising action plans, and identifying areas for system enhancement. 
• Strong expertise in Angular (version 4 or above) and other .NET technologies such as MVC and Entity Framework. 
• Writing clean, scalable code using languages like ASP.NET, MVC, LINQ, and Entity Framework. 
• Proficiency in XSL, Web Services, jQuery, Ajax, WCF, SOAP, JSON, SQL Server, SSRS, HTML5, and CSS3. 
• Proven abilities in testing and deploying applications and systems. 
• Familiarity with OWASP Top 10 application security standards. 
• Debugging, refactoring, and updating code. 
• Expertise in reporting software and RDLC Reports. 
• Great understanding of Agile methodologies. 
• Excellent troubleshooting and communication skills. 
• Seamlessly collaborate with the team to provide and deploy solutions. 
• Ensuring effective integration of software solutions with other infrastructure technologies. 
• Analyzing, documenting, and recommending process improvements. 
• Developing long-term secure software solutions within the organization. 
• Should participate in technology solution implementations, upgrades, enhancements, and conversions. 
• Providing troubleshooting support for application issues.

Job Type: Full Time (WFO) Years of Experience: 2–6 Years Job Description: We are looking for a QA Engineer with balanced expertise in Manual and Automation Testing, capable of working independently on test planning, execution, and reporting. Role Focus: Design and execute test cases for web and API applications, automate regression suites, and ensure product quality through continuous validation and improvement. Key Skills & Experience

• Manual Testing: Functional, Integration, Regression, and UAT testing. • Automation Testing: Hands-on experience with Selenium, Postman, or similar tools. • API Testing: Experience with RESTful APIs using tools like Swagger, Postman, or JMeter. • Defect Tracking: Experience with Jira, Azure DevOps, or similar platforms. • Test Documentation: Creating detailed test cases, bug reports, and traceability matrices. • CI/CD & Version Control: Familiarity with Jenkins, Git, or Azure DevOps.

Additional Qualities

• Ability to work independently with ownership of deliverables. • Analytical mindset with attention to detail. • Strong written and verbal communication. • Collaborative attitude with developers and stakeholders.

Preferred Experience

• 2–6 years of QA experience in both Manual and Automation testing. • Exposure to testing web applications built on .NET and Angular. • Experience in Agile environments with short sprint cycles.

Job Type: Full Time (Remote)
Years of Experience: 8–12 Years

Job Description:

We are looking for an experienced SQL Lead to oversee database design, performance optimization, and data management initiatives. The candidate should have strong hands-on expertise in SQL, data modeling, and ETL processes, along with the ability to guide and mentor team members while being an individual contributor.

Role Focus:

Lead SQL development activities across multiple business functions, ensuring data reliability, scalability, and optimal query performance. Collaborate with cross-functional data, BI, and application teams to deliver high-quality, secure, and efficient data solutions.

Key Skills & Responsibilities

• Database Development: Design and optimize complex SQL queries, stored procedures, views, and functions.
  • Performance Tuning: Conduct query optimization, indexing, and partitioning to improve database performance.
  • Data Modeling: Design logical and physical data models for analytical and transactional systems.
  • ETL & Data Pipelines: Develop, maintain, and enhance ETL workflows using SSIS, Azure Data Factory, or similar tools.
  • Data Governance: Ensure data quality, integrity, and compliance with enterprise standards.
  • Collaboration: Work with BI, Data Science, and Application teams to support reporting and analytics needs.
  • Leadership: Mentor junior developers, review code, and establish best practices for database design and maintenance.
  • Cloud Integration: Experience with SQL on Azure (Azure SQL DB, Synapse, or Managed Instances) is a strong plus.

Additional Qualities

• Strong analytical and troubleshooting abilities.
  • Excellent communication and collaboration skills.
  • Ability to work independently and manage multiple priorities.
  • Passion for data optimization and continuous improvement.

Job Type: Full Time (WFO)
Years of Experience: 3–8 Years

Job Description:

We are looking for a skilled Power Apps Developer to design, develop, and maintain business applications using the Microsoft Power Platform. The ideal candidate will work as an individual contributor, building scalable and user-friendly solutions that integrate seamlessly with existing systems and business processes.

Role Focus:

Develop custom business applications using Power Apps (Canvas & Model-driven), automate workflows through Power Automate, and integrate with SharePoint, SQL, Dataverse, and other data sources to drive process efficiency.

Key Skills & Responsibilities

• App Development: Build and maintain Canvas and Model-driven Power Apps solutions.
  • Automation: Create and optimize workflows using Power Automate and Power BI integration.
  • Integration: Connect Power Apps with SharePoint, SQL Server, Dataverse, and APIs.
  • Customization: Design custom connectors, components, and responsive layouts.
  • Data Modeling: Design entity relationships, manage data validation, and implement business logic in Dataverse.
  • Performance Optimization: Ensure app efficiency, usability, and scalability.
  • Documentation: Maintain technical documentation, app guides, and deployment instructions.
  • Collaboration: Partner with business users to gather requirements and translate them into app solutions.

Additional Qualities

• Strong problem-solving and analytical mindset.
  • Excellent communication and presentation skills.
  • Ability to work independently and manage multiple projects simultaneously.
  • Continuous learner with passion for Microsoft Power Platform ecosystem.

Preferred Experience

• 3–8 years of total experience, with 2+ years in Power Platform development.
  • Hands-on experience with Power BI, Power Automate, and SharePoint Online.
  • Familiarity with Azure Logic Apps, Dataverse, and Microsoft Teams integration.
  • Exposure to PowerShell scripting or JavaScript for advanced customization.
  • Experience working in Agile delivery environments.

Job Type: Full Time, (WFO)
Years of Experience: 8–12 Years

Job Description:

We are seeking a highly experienced Lead Data Scientist to define and drive the data science strategy across predictive analytics, promotion simulation, consumer trend modeling, and computer vision initiatives. This role involves leading the design, development, and deployment of advanced AI and machine learning solutions that enable data-driven decision-making across marketing, sales, and innovation functions.

The ideal candidate is a hands-on leader who can balance strategic direction with technical depth — mentoring the team while delivering production-grade models that generate measurable business impact.

Role Focus:

• Define and oversee modeling frameworks for forecasting, consumer analytics, and computer vision.
• Translate complex business challenges into scalable data science solutions.
• Build, validate, and optimize predictive and simulation models for demand forecasting and promotion impact.
• Lead the design of AI-based applications including image recognition, trend detection, and innovation analytics.
• Ensure strong MLOps, model governance, and data quality practices.
• Partner with stakeholders across marketing, technology, and operations to integrate models into business workflows.

Key Skills & Responsibilities

• Advanced Machine Learning & AI: Proficiency in regression, classification, clustering, NLP, and computer vision models.
  • Predictive Modeling: Expertise in forecasting, time-series (ARIMA, Prophet, LSTM), and causal inference.
  • Promotion & Consumer Analytics: Experience developing simulation models for pricing, promotions, and ROI analysis.
  • Computer Vision: Hands-on with OpenCV, YOLO, or Detectron2 for visual analytics, shelf detection, and product recognition.
  • Technical Proficiency: Strong coding skills in Python/R, SQL, and experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn).
  • MLOps & Deployment: Skilled in Azure ML, Databricks, or AWS SageMaker for scalable model deployment and monitoring.
  • Visualization: Strong data storytelling abilities using Power BI or Tableau.
  • Leadership: Mentor junior data scientists, establish best practices, and ensure alignment with business goals.

Additional Qualities

• Excellent analytical and strategic thinking skills.
  • Proven ability to deliver end-to-end AI projects in complex environments.
  • Strong communication and stakeholder management capabilities.
  • Passion for leveraging AI/ML to solve real-world business challenges.

Preferred Experience

• 8–12 years of experience in data science, including leadership or mentoring responsibilities.
  • Experience in predictive analytics, consumer insights, or computer vision projects.
  • Exposure to marketing mix modeling, A/B testing, and campaign optimization.
  • Familiarity with cloud data ecosystems (Azure, AWS, GCP) and CI/CD for ML pipelines.