We are looking for a visionary Microsoft Solution Architect to lead the design and delivery of enterprise-grade solutions using the full suite of Microsoft technologies This role demands a strategic thinker who can bridge business goals with technical execution, driving architecture for scalable, secure, and high-performing digital platforms You ll collaborate with stakeholders across business and IT to shape future-ready solutions spanning Azure, Microsoft 365, Power Platform, Dynamics 365, and modern workplace tools

We are seeking a strategic and hands-on Manager UI/UX to lead and scale a team of designers in building world-class digital experiences The ideal candidate brings a deep understanding of UI/UX principles, front-end development, and data product design, along with a proven ability to mentor teams, lead projects, engage clients, and drive innovation through Design Thinking and Generative AI (Gen AI) tools This is a cross-functional leadership role, perfect for someone who thrives at the intersection of design, technology, and business strategy

Course5 is looking for Data Modeller to join our dynamic team and embark on a rewarding career journey. As a Data Modeler, you will be responsible for designing and implementing data models, ensuring the integrity and performance of databases, and collaborating with other teams to understand data requirements. Your role is pivotal in creating efficient and effective data solutions that align with business objectives. Key Responsibilities : Data Modeling : Develop, design, and maintain conceptual, logical, and physical data models based on business requirements. Ensure that data models are scalable, flexible, and support future business needs. Database Design : Collaborate with database administrators and developers to implement and optimize database structures. Design and implement indexing strategies to improve database performance. Requirements Analysis : Work closely with business analysts and stakeholders to understand data requirements and translate them into data models. Documentation : Create and maintain comprehensive documentation for data models, ensuring clarity and accessibility for other team members. Data Governance : Implement and enforce data governance policies and best practices to ensure data quality and consistency. Collaborate with data stewards to define and manage data standards. Data Integration : Collaborate with ETL (Extract, Transform, Load) developers to ensure smooth data integration processes. Design and optimize data integration workflows. Data Quality Assurance : Implement data quality checks and validation processes to ensure the accuracy and reliability of data. Collaboration : Work closely with cross-functional teams, including business analysts, data scientists, and software developers, to ensure seamless integration of data models into applications.

We are seeking a proactive, detail-oriented QA/Test Engineer with 2-4 years of experience, primarily focused on User Acceptance Testing (UAT) of Microsoft-built applications (eg, SharePoint, Teams, Power Platform apps) and web applications The ideal candidate is highly hands-on, curious, and up to date with modern testing practices and tools They should be able to anticipate issues, recommend improvements, and contribute to elevating the overall quality assurance process

Job Responsibilities Develop clear, concise, actionable solutions and recommendations for Client's business needs. • Work with complex data files and develop initial understanding on data files Undertake exploratory data analysis to derive initial findings and create hypothesis Work on problem specific data models Undertake hands on work on data analytics, model development and testing and preparing the data files for visualization platforms Undertake business analysis on the data and provide insights Coordinate with decision makers to translate business questions into a verifiable hypothesis and data models • Work hands-on across various analytics problems and provide thought leadership on problems • Interact with other stakeholders (Data engineers, BI specialists, offsite team, client teams) on daily/weekly basis to gather requirements/ provide updates. Requirements & Qualifications: • 4-7 years of experience of in data science domain working across a variety of industries • Graduation or Post graduation in Statistics, Mathematics, Management etc. • Strong CPG domain knowledge • Have exposure to CPG marketing analytics Trade (ATL/BTL), Digital, Traditional • Ability to think open ended/unstructured problem solving • Good understanding of statistics along with analysis techniques like Correlation, Regression, Hypothesis Testing, Basic Time Series Forecasting etc. • Excellent Data Wrangling – using Excel, Python basics (good to have) • Hands on experience on SQL, Python coding • Strong logical, analytical, and problem-solving skills • Adept at writing reports, making PowerPoint presentations to present findings • Excellent verbal and written communication skills along with experience of client facing roles

Job Summary We are looking for a skilled and detail-oriented Power BI Developer to join our team. The ideal candidate will be responsible for designing, developing, and maintaining business intelligence dashboards and reports that help drive data-driven decision-making across the organization. Job Responsibilities Develop and maintain Power BI dashboards, reports, and visualizations based on business requirements Perform data modeling, data analysis, and implement DAX queries for enhanced insights Connect Power BI to various data sources (SQL Server, Excel, cloud data platforms, etc.) Work closely with stakeholders to understand reporting needs and translate them into technical solutions Optimize Power BI datasets and dashboards for performance and usability Ensure data accuracy, reliability, and consistency across all reports and dashboards. Collaborate with data engineers and analysts to streamline data pipelines and reporting logic Implement role-level security (RLS) in Power BI. Required Skills & Qualifications: • Proven experience (4+ years) working with Power BI in a professional setting • Strong proficiency in DAX, Power Query (M language), and data modeling • Experience working with SQL and relational databases • Knowledge of ETL processes, data warehousing, and performance tuning • Strong analytical and problem-solving skills • Excellent communication and collaboration abilities • Experience with Power BI Service (publishing, workspace management, gateway configuration) • Bachelors degree in Computer Science, Information Systems, or a related field

Role & responsibilities Job Summary We are looking for experienced Data Modelers to support large-scale data engineering and analytics initiatives. The role involves developing logical and physical data models, working closely with business and engineering teams to define data requirements, and ensuring alignment with enterprise standards. • Independently complete conceptual, logical and physical data models for any supported platform, including SQL Data Warehouse, Spark, Data Bricks Delta Lakehouse or other Cloud data warehousing technologies. • Governs data design/modelling documentation of metadata (business definitions of entities and attributes) and constructions database objects, for baseline and investment funded projects, as assigned. • Develop a deep understanding of the business domains like Customer, Sales, Finance, Supplier, and enterprise technology inventory to craft a solution roadmap that achieves business objectives, maximizes reuse. Drive collaborative reviews of data model design, code, data, security features to drive data product development. • Show expertise for data at all levels: low-latency, relational, and unstructured data stores; analytical and data lakes; SAP Data Model. • Develop reusable data models based on cloud-centric, code-first approaches to data management and data mapping. • Partner with the data stewards team for data discovery and action by business customers and stakeholders. • Provides and/or supports data analysis, requirements gathering, solution development, and design reviews for enhancements to, or new, applications/reporting. • Assist with data planning, sourcing, collection, profiling, and transformation. • Support data lineage and mapping of source system data to canonical data stores. • Create Source to Target Mappings (STTM) for ETL and BI developers. Preferred candidate profile Expertise in data modelling tools (ER/Studio, Erwin, IDM/ARDM models, CPG / Manufacturing/Sales/Finance/Supplier/Customer domains ) • Experience with at least one MPP database technology such as Databricks Lakehouse, Redshift, Synapse, Teradata, or Snowflake. • Experience with version control systems like GitHub and deployment & CI tools. • Experience of metadata management, data lineage, and data glossaries is a plus. • Working knowledge of agile development, including DevOps and DataOps concepts. • Working knowledge of SAP data models, particularly in the context of HANA and S/4HANA, Retails Data like IRI, Nielsen Retail.

Experience: 4+ years of hands-on experience in deploying and monitoring machine learning models. Basic understanding of ML and data science/modeling aspects. Experience with open-source tools for MLOps, such as Kubernetes, Docker, and Apache Airflow and developing and streamlining workflows, building scalable pipelines, etc. Ensuring successful model development, testing, optimization, scaling, monitoring/observability, and governance Continuous integration and continuous deployment (CI/CD) Proficiency in cloud platforms, especially Azure and/or AWS. Strong scripting skills (e.g., Python) for automation and tool development. Problem-Solving: o Strong problem-solving skills with a focus on finding efficient and scalable solutions. o Ability to learn new tools on the go and developing best practices is mandatory.

In the role of a DevOps Engineer, you will be responsible for designing, implementing, and maintaining the infrastructure and CI/CD pipelines necessary to support our Generative AI projects. Furthermore, you will have the opportunity to critically assess and influence the engineering design, architecture, and technology stack across multiple products, extending beyond your immediate focus. - Design, deploy, and manage scalable, reliable, and secure Azure cloud infrastructure to support Generative AI workloads. - Implement monitoring, logging, and alerting solutions to ensure the health and performance of AI applications. - Optimize cloud resource usage and costs while ensuring high performance and availability. - Work closely with Data Scientists and Machine Learning Engineers to understand their requirements and provide the necessary infrastructure and tools. - Automate repetitive tasks, configuration management, and infrastructure provisioning using tools like Terraform, Ansible, and Azure Resource Manager (ARM). - Utilize APM (Application Performance Monitoring) to identify and resolve performance bottlenecks Maintain comprehensive documentation for infrastructure, processes, and workflows. Must Have Skills: - Extensive knowledge of Azure services: Kubernetes, Azure App Service, Azure API management(APIM), Application gateway, AAD, GitHub Action, Istio, Datadog, Proficiency in containerization and orchestration tools such as (Jenkins, GitLab CI/CD, Azure DevOps) - Knowledge of API management platforms like APIM for API governance, security, and lifecycle management. - Expertise in monitoring and observability tools like Datadog, loki, grafana, prometheus for comprehensive monitoring, logging, and alerting solutions. Good scripting skills (Python, Bash, PowerShell). - Experience with infrastructure as code (Terraform, ARM Templates). - Experience in optimizing cloud resource usage and costs utilizing insights from Azure cost and monitor metrics.

Key Skills : Large Language Models (LLM) : Experience with LangChain, LangGraph Proficiency in building agentic patterns like ReAct, ReWoo, LLMCompiler Multi-modal Retrieval-Augmented Generation (RAG) : Expertise in multi-modal AI systems (text, images, audio, video) Designing and optimizing chunking strategies and clustering for large data processing. Streaming & Real-time Processing : Experience in audio/video streaming and real-time data pipelines Low-latency inference and deployment architectures NL2SQL: Natural language-driven SQL generation for databases Experience with natural language interfaces to databases and query optimization. API Development: Building scalable APIs with FastAPI for AI model serving Containerization & Orchestration: Proficient with Docker for containerized AI services Experience with orchestration tools for deploying and managing services AI Frameworks & Tools: Experience with AI/ML frameworks like TensorFlow, PyTorch Proficiency in LangChain, LangGraph, and other LLM-related technologies Prompt Engineering: Expertise in advanced prompting techniques like Chain of Thought (CoT) prompting, LLM Judge, and self-reflection prompting Experience with prompt compression and optimization using tools like LLMLingua, AdaFlow, TextGrad, and DSPy Strong understanding of context window management and optimizing prompts for performance and efficienc

As a Fullstack Engineer, you will be responsible for designing and developing scalable, high-quality web and mobile applications. You will work across the stack, building and optimizing APIs for real-time interactions while ensuring seamless API integrations. Your role will be pivotal in architecting and implementing robust, high-performance solutions that enhance user experience and system reliability - Build and enhance web and mobile applications using React and React Native Web, ensuring seamless user experiences across platforms. - Develop and optimize both backend and frontend components to ensure they meet quality standards for reliability, scalability, and performance. - Implement and maintain robust authorization techniques, including OAuth, to secure APIs and ensure proper access control. - Implement best practices in software development, including design patterns, SOLID principles, and schema-driven development (SDD) - Identify and resolve performance bottlenecks in event based system and web applications, ensuring that the system can handle high traffic volumes and maintain low latency. Document system architecture, design decisions, API specifications, and security protocols. - Collaborate with UX, ML, DevOps teams to automate deployment processes and ensure smooth and efficient operation of production systems. Must have skills: Backend Stack: Python, Fast API, REST, OAuth2, JWT, Alembic, Pydantic, GraphQL. Frontend Stack : React, React Native Web, Redux, TypeScript, Tailwind CSS, WebSockets, Expo, React Navigation, RTK query, Vite DB: Postgres Concepts:Scehma Driven (SDD) Asynchronous comm, Multithreading, Caching ,Event Driven, DB indexing, CDC, Message queues,DSA (tree, graph), Real Time streaming Protocols: HTTP, WebSocket, gRPC SCM: Git submodules ,Github semantic-release, PyPI, CI,Linting/formatting tools, GH Action Deployment/Monitoring: Docker, CD basics,Prometheus/Graphana/Datadog Cloud: Azure Entra ID, App service, Kubernetes(basic),Keyvault Testing: pytest,locust,jest Expertise in designing and consuming RESTful and/or GraphQL APIs GenAI_SDE_fullstack.md Proficiency in programming languages such as Python, Go, Nodejs preferably with Python FastAPI framework. Knowledge of real-time web technologies (WebSockets, Server-Sent Events, etc.). Strong experience with distributed systems, cloud computing, and microservices architecture with fault tolerance. Clear understanding and practical experience with authorization techniques such as OAuth, including OAuth2.0 and OpenID Connect. Familiarity with databases (SQL, NoSQL) with ORM (object-relational mapping) libraries (Sqlalchmey, Pydantic SQLmodel, etc) and RDBMS( MSSQL, Posgresql)and caching strategies (Redis, Memcached). Good understanding of VCS(version control system) such as Git and build & packaging with semantic versioning standards. Familiarity with modern software development practices, including Agile methodologies, CI/CD pipelines, and DevOps principles. Set up robust monitoring solutions using Prometheus, Grafana, or Datadog to track key performance metrics and proactively identify and address issues

We are seeking a highly skilled Data Scientist with a passion for AI, machine learning, and deep learning to join our dynamic team. The ideal candidate will have experience in generative models, LLMs, and advanced AI techniques, and will contribute to solving complex business challenges. Job Title: Data Scientist Location: Bengaluru, Gurugram, Mumbai, Coimbatore 2+years Of experience in machine learning, deep learning, or Al research, With a focus on generative models. Experience With generative models such as GANS (Generative Adversarial Networks), VAEs (Variational Autoencoders), and transformer-based models (e.g., GPT-3/4, BERT, DALL.E). Understanding of model fine-tuning, transfer learning, and prompt engineering in the context Of large language models (LLMS). Knowledge of reinforcement learning (RL) and other advanced machine learning techniques applied to generative tasks. Strong programming skills in python and familiarity With relevant libraries and frameworks. Proven experience in document detail extraction and feature engineering. Proficiency in data processing and manipulation techniques. Hands-on experience in building data applications using Streamlit or similar tools. Advanced knowledge in prompt engineering, chain of thought processes, and Al agents. Excellent problem-solving skills and the ability to work effectively in a collaborative environment. Strong communication skills to convey complex technical concepts to non-technical stakeholders.

We are looking for an experienced Data Modelling professional, proficient in tools such as Erwin and ER/Studio. A strong understanding of Azure Databricks, Snowflake/Redshift, SAP HANA, and advanced SQL is required. Prior experience in leading teams is also preferred.

We are looking for a skilled Data Modeler to design, develop, and manage scalable and high-performing data models that support enterprise-wide analytics and reporting needs. In this individual contributor role, you ll work closely with data engineers, architects, and business stakeholders to understand data requirements and translate them into well-structured conceptual, logical, and physical data models.

We are seeking a highly skilled Data Scientist with deep expertise in Python, Generative AI, Large Language Models (LLMs), and end-to-end model development and deployment. The ideal candidate will have strong hands-on experience in Machine Learning, Deep Learning, and Natural Language Processing (NLP), preferably within the banking or financial services domain.

A detail-oriented Business Analyst with strong experience in Data Analytics, Power BI & Spotfire, and exposure to Quality Assurance and Data Governance. This role involves designing, developing, and maintaining impactful dashboards and reports to support data-driven decision-making across the organization, while ensuring data accuracy, consistency, and compliance.

We are looking for an experienced and visionary BI Architect to lead the design and evolution of our Business Intelligence architecture. In this strategic role, you ll work closely with cross-functional leaders to build scalable, high-performance data solutions that empower smarter, faster decisions across the organization. If you re passionate about driving impact through architecture and innovation, this is your opportunity to make a lasting difference.

We are looking for a sharp, solution-oriented Lead Analytics Consultant with deep experience in CPG and a strong command of data wrangling techniques. In this role, you ll partner with clients to turn complex data into clear, actionable strategies that solve real-world business challenges. If you re passionate about storytelling with data, identifying trends, and delivering insights that move the needle, this is the role for you.

Course5 is looking for AI Engineer to join our dynamic team and embark on a rewarding career journeyDesigning and developing AI algorithms and models to solve specific business problems.Creating and maintaining databases for storing and processing large amounts of data.Developing and deploying machine learning and deep learning models.Implementing and integrating AI solutions with existing systems and software.Analyzing and interpreting complex data sets to extract insights and drive decision-making.Collaborating with cross-functional teams to develop and deploy AI applications.Ensuring the security and privacy of data used in AI applications.Communicating and presenting technical information to non-technical stakeholders.Excellent communication skills & attention to detail.