Job DescriptionWe are looking for an experienced AS400 Developer to join our team in Noida. The ideal candidate will have a strong background in RPG, CL, and SQL, with additional knowledge of COBOL being a plus. You will be responsible for developing and maintaining applications on the IBM iSeries/AS400 platform, collaborating with cross-functional teams, and ensuring the stability and performance of the systems.Key ResponsibilitiesDesign, develop, and maintain applications using RPG (RPG III/IV/ILE), CL, and SQL on the AS400 platform.Perform system analysis, coding, testing, and debugging.Work with stakeholders to gather and understand business requirements.Provide production support, troubleshoot issues, and ensure timely resolution.Participate in code reviews and adhere to coding standards.Required SkillsProficiency in RPG, CL, and SQL on AS400/iSeries.Experience with application development and maintenance in a mid-to-large scale environment.Strong understanding of AS400 system architecture and operations.Secondary SkillsKnowledge of COBOL on AS400 is a plus.QualificationsBachelor’s degree in Computer Science, Information Technology, or a related field.4–7 years of relevant experience in AS400 development.Good problem-solving and analytical skills.Strong communication and interpersonal abilities.

Role & responsibilities Job Details: Role: Data Scientist Employment Type: FTE with Dimiour Work Location: Remote Shift Timings: UK Shifts Experience Required: 5+ Years Job Description: This individual contributor role will report to the Data Science Strategy Leader and will build our muscle around prescriptive analytics capabilities in commercial landscape. We are looking for individuals that have experience in one or more of the following focus areas: Strategic pricing optimization Revenue growth management Advanced marketing measurement and optimization Zero- and first-party consumer datasets Demand planning, forecasting and S&OP This role is ideal for candidates who excel at operating in environments with imperfect data, and comfortable prioritizing progress over perfection by making reasonable business assumptions. Responsibilities: Work with Data Science Strategy Leader to define data science use cases with a bias towards problems requiring prescriptive analytics, propose potential modeling approaches, assess feasibility, estimate effort and data requirements, draft project plans Build Proof-of-Concept data science models: acquire, cleanse, and harmonize data, analyze, and identify appropriate optimization algorithms, build models that are interpretable, explainable, and sustainable at scale and meets the business needs Engage stakeholders, including product and business teams, through frequent check-ins, progress updates, visualizations, and interactive dashboards designed for non-technical audiences Interpret model outputs, draw actionable insights, present findings, and make recommendations to cross-functional and senior leadership teams Collaborate with Enterprise AI/ML product teams and DTS Delivery teams to scale proven high value Proof-of-Concept models where enterprise certified products are required About You: Youre driven to perform at the highest level possible, and you appreciate a performance culture fueled by authentic caring. You want to be part of a company actively dedicated to sustainability, inclusion, wellbeing, and career development. To succeed in this role, you will need the following qualifications: Critical Technical Skills: 5+ years of experience with hands-on involvement in data science projects (research or consulting experience is a plus; experience in CPG/Retail, Digital Marketing, e-Commerce, or Revenue Management preferred) A bachelor’s degree in a quantitative field (e.g., Engineering, Computer Science, Statistics, Economics, or Mathematics) - An advanced degree in a quantitative field is preferred and will be accepted in lieu of 2 years of experience. Proficiency in SQL and any one other programming language (e.g., R, Python, C++, Minitab, SAS, Matlab, VBA – knowledge of optimization engines such as CPLEX or Gurobi is a plus) Proficiency in any data visualization software (e.g., Power BI, Tableau, Qlik, D3, Shiny) Theoretical or practical experience in mathematical optimization techniques ( e.g. linear and non-linear optimization, mixed integer programming, sensitivity analysis, constraint programming etc.) Experience in machine learning methods (e.g. multivariate regression, feature engineering, random forests, XGBoost, elastic nets, hierarchical Bayesian regression, unsupervised learning, clustering/segmentation) Preferred candidate profile

Role: Gen AI Engineer Employment Type: FTE with Dimiour Work Location: Remote Shift Timings: General Day Shift IST Time Zone Experience Required: 5+ Years GenAI Engineers 5+ years of experts who are proficient in Python and familiar with AI/Gen AI frameworks. Experience with data manipulation libraries like Pandas and NumPy is crucial. • Specific expertise in implementing and managing large language models (LLMs) is a must. • Fast API experience for API development • A solid grasp of software engineering principles, including version control (Git), continuous integration and continuous deployment (CI/CD) practices, and automated testing, is required. Experience in MLOps, ML engineering, and Data Science, with a proven track record of developing and maintaining AI solutions, is essential. • proficiency in DevOps tools such as Docker, Kubernetes, Jenkins, and Terraform, along with advanced CI/CD practices Preferred candidate profile Immediate - 15days

Profisee Consultant Job Summary: We are seeking a skilled and experienced Profisee Consultant to join our data management team. In this role, you will be responsible for designing, developing, and implementing Master Data Management (MDM) solutions using the Profisee Platform. Youll work closely with business and IT stakeholders to ensure data integrity, governance, and usability across the enterprise . Key Responsibilities: Lead and participate in the implementation of Profisee MDM solutions. Work with stakeholders to gather and analyze MDM requirements. Design and configure Profisee entities, hierarchies, workflows, and match/merge rules. Integrate Profisee with other enterprise systems (ERP, CRM, Data Warehouses). Develop and maintain data quality rules and governance frameworks. Provide ongoing support, troubleshooting, and optimization of MDM solutions. Deliver documentation, training, and knowledge transfer to internal teams. Ensure compliance with data governance, privacy, and security policies. Required Qualifications : Proven experience with Profisee MDM platform (3+ years preferred). Strong understanding of Master Data Management principles and best practices. Experience with data modeling, SQL Server, and integration tools (e.g., SSIS). Familiarity with data quality, data stewardship, and data governance concepts. Ability to gather requirements and translate them into technical solutions. Excellent problem-solving, communication, and stakeholder management skills .

SAP ABAP Technical Consultant Location Bangalore We are seeking an experienced SAP Technical Consultant with 10 years of expertise in SAP ECC and S/4 HANA . The ideal candidate should have strong technical proficiency in ABAP development and a solid understanding of SAP architecture. Key Responsibilities: Develop and enhance Smart Forms, Adobe Forms , and leverage SAP ABAP with Object-Oriented Programming and Design Patterns. Work extensively with Web Dynpro, Reports, Data Dictionary, Classes, and OOABAP . Perform Module Pool Programming, SAP Scripts, BDCs, LSMW, IDOCs, BADIs, Enhancement Spots, ALE/IDOC , and Workflow Development . Collaborate on Fiori/UI development (preferred). Experience with SAP Web Dynpro, BOBJ, HANA, Data Services, SAP PLM, EWM, GTS, MDG is an added advantage. Deep understanding of SAP NetWeaver Architecture and S/4 HANA . Exposure to CDS Views and OData services is beneficial. Experience with ABAP on Cloud and RAP Programming is a plus. Skills & Qualifications: Strong problem-solving and analytical abilities. Excellent verbal and written communication skills , with the ability to collaborate with stakeholders. Willingness to acquire business acumen and work closely with cross-functional teams. Knowledge of Agile methodologies and DevOps practices. Ability to work effectively in a team-oriented environment to deliver high-quality results.

Job Title: AI/Gen AI Engineer (Python) Location: Bangalore, India(Onsite) Job Description: We are seeking a highly skilled AI/Gen AI Engineer with 7+ years of experience in Python and extensive expertise in AI/Generative AI frameworks. The ideal candidate should have strong proficiency in data manipulation libraries such as Pandas and NumPy, along with hands-on experience in implementing and managing Large Language Models (LLMs). Key Responsibilities: • Develop and maintain AI/Gen AI solutions using Python. • Work with LLMs, ensuring their effective implementation and optimization. • Utilize FastAPI for API development and integration. • Apply software engineering best practices, including version control (Git), CI/CD pipelines, and automated testing. • Implement MLOps and ML engineering strategies to streamline AI model deployment and monitoring. • Leverage DevOps tools such as Docker, Kubernetes, Jenkins, and Terraform for efficient deployment and scaling. • Ensure robust CI/CD practices for AI/ML workflows. Required Skills & Experience: • 7+ years of experience in Python development. • Strong understanding of AI/Gen AI frameworks. • Hands-on experience with LLMs. • Expertise in data manipulation using Pandas and NumPy. • Proficiency in FastAPI for API development. • Strong grasp of software engineering principles, including Git, CI/CD, and automated testing. • Experience in MLOps, ML engineering, and AI model lifecycle management. • Proficiency in DevOps tools such as Docker, Kubernetes, Jenkins, and Terraform., and Swagger is must • Strong understanding of JavaScript programming language • Experience with SQL and NoSQL databases • Experience with RESTful API design and development • Experience with unit testing and test-driven development (Jest) • Excellent problem-solving and debugging skills. • Ability to work independently and as part of a team. • Strong communication and interpersonal skills • Experience with cloud computing platforms such as AWS or Azure • Experience with container orchestration technologies such as Docker and Kubernetes • Experience with continuous integration and continuous delivery (CI/CD) pipelines • Experience with leading and mentoring development teams • Strong knowledge of integration patterns, technologies, and tools • Experience with integration platforms such as MuleSoft, Dell Boomi, or similar. • Experience with API management platforms such as Apisix, Apigee, Kong, or similar. • Experience with cloud-based integration solutions such as AWS, Azure, or similar. • Strong understanding of microservices architecture and RESTful APIs • Experience in designing and implementing complex integration solutions for enterprise-level applications

GenAI Architect - Fulltime Remote Shift:General Shift Job Summary: We are looking for a GenAI Architect with deep expertise in AI/Gen AI systems, specifically in designing and building large-scale AI solutions. As a GenAI Architect , you will be responsible for leading the design and architecture of cutting-edge Gen AI systems, with a focus on large language models (LLMs), AI frameworks, and advanced machine learning technologies. This is a senior role requiring strategic vision and hands-on expertise in AI solution architecture, software engineering, and MLOps practices. Responsibilities: Architecting AI Solutions : Design and architect scalable, efficient, and robust GenAI systems leveraging advanced machine learning frameworks, particularly in large language models (LLMs). Leading AI Framework Implementation : Lead the design and implementation of complex GenAI models and frameworks using Python and other relevant technologies. Provide strategic oversight of AI/GenAI architecture to align with business needs and tech stack. Model Optimization and Performance : Oversee the optimization of large-scale AI models for both training and inference, ensuring high performance and scalability across platforms. API Architecture & Development : Guide the development of high-performance APIs for AI services using FastAPI or other relevant frameworks, ensuring ease of integration with internal and external systems. MLOps Integration : Drive the integration of MLOps pipelines for seamless deployment, monitoring, and scaling of machine learning models, ensuring automation, efficiency, and high availability. Leadership and Mentorship : Provide technical leadership and mentorship to teams of engineers, guiding them in best practices for AI system architecture, software engineering, and AI model lifecycle management. Collaboration with Cross-Functional Teams : Work closely with Data Science, Data Engineering, DevOps, and Product teams to ensure AI/Gen AI solutions are architected in a way that meets both technical and business requirements. CI/CD & Automation : Design and implement automated pipelines for continuous integration and continuous deployment (CI/CD) of AI models, ensuring smooth and rapid updates to production environments. DevOps Practices : Ensure the robust deployment and management of AI models in production environments using DevOps tools like Docker, Kubernetes, Jenkins, and Terraform. Security and Compliance : Ensure AI systems adhere to best practices in security, privacy, and compliance, especially in handling sensitive data and large-scale model training. Key Requirements: Experience : Hands-on experience in AI/Gen AI system design, implementation, and scaling, with expertise in large language models (LLMs) and AI frameworks. Programming Skills : Expertise in Python and a strong understanding of data manipulation libraries like Pandas and NumPy. AI Frameworks : Experience in designing and managing large-scale AI models using cutting-edge frameworks such as TensorFlow, PyTorch, and similar. API Development : Strong experience in FastAPI or other modern frameworks for building high-performance APIs. Software Engineering : Proficient in software engineering principles, version control (Git), and maintaining code quality through automated testing and CI/CD pipelines. MLOps & ML Engineering : Deep understanding of MLOps practices for model deployment, monitoring, and optimization. Hands-on experience with ML engineering workflows. DevOps Expertise : Strong experience with DevOps tools like Docker, Kubernetes, Jenkins, and Terraform, with an emphasis on automating deployment and managing infrastructure at scale. Leadership & Mentorship : Proven experience in leading technical teams, making architectural decisions, and mentoring junior engineers.

Job Title: Remote Full Stack Developer (Angular + Node.js + .NET) Location: Remote ( Key Responsibilities: Front-End Development (Angular): • Develop responsive and performant web user interfaces using Angular and related libraries. • Implement modular, reusable components following best practices. • Integrate RESTful APIs into the front-end. • Ensure cross-browser compatibility and responsive design for all user interfaces. • Optimize UI for performance and scalability. • Collaborate with UI/UX designers to translate wireframes into functional front-end code. Back-End Development (Node.js): • Design, develop, and maintain RESTful APIs and microservices using Node.js, Express.js, or NestJS. • Implement and manage databases (SQL/NoSQL like MongoDB, PostgreSQL, MySQL). • Ensure data integrity, security, and scalability across backend systems. • Implement authentication and authorization mechanisms (JWT, OAuth, etc.). • Write unit, integration, and end-to-end tests for backend logic. .NET Development: • Develop, test, and deploy software applications using .NET programming languages (C#, VB.NET). • Collaborate with internal teams to design software architecture and write clean, scalable code. • Provide technical support for web, desktop, or mobile applications. • Upgrade, configure, and debug existing .NET systems. • Maintain and improve existing software applications. Required Skills & Qualifications: • Strong proficiency in Angular, TypeScript, and RxJS. • Proficient in Node.js with frameworks like Express or NestJS. • Solid experience in REST API development, CRUD operations, and middleware integration. • Knowledge of JavaScript build tools (Webpack, Angular CLI, etc.). • Experience with MongoDB, PostgreSQL, or other relational/NoSQL databases. • Understanding of HTML5, CSS3, SASS/SCSS, and responsive design principles. • Familiarity with authentication, authorization, and role-based access control. • Experience with Git, JIRA, and agile project management tools. • Strong problem-solving, debugging, and communication skills. • Proven experience as a .NET Developer or Application Developer. • Familiarity with the ASP.NET framework, SQL Server, and design/architectural patterns (e.g., Model-View-Controller (MVC)). • Knowledge of at least one of the .NET languages (e.g., C#, VB.NET) and HTML5/CSS3. • Understanding of Agile methodologies.

We are seeking seasoned GenAI Engineers with 5+ years of experience to design, deploy, and scale AI solutions. Candidates must be proficient in Python , with hands-on expertise in LLMs , RAG (Retrieval-Augmented Generation) , and frameworks like LangChain and Hugging Face . Experience working with Agentic AI or agent-based orchestration systems is highly desirable. Strong understanding of Computer Vision , including model development using OpenCV, YOLO, or similar libraries. Expertise in data manipulation libraries such as Pandas and NumPy is essential. Solid experience in FastAPI for building scalable APIs. Must have a good grasp of MLOps and ML Engineering , including model lifecycle management. Proven experience with DevOps tools like Docker, Kubernetes, Jenkins, and Terraform. Experience with CI/CD pipelines , automated testing, and Git version control is required. Ability to deploy AI models across cloud environments (AWS/GCP/Azure). Knowledge of transformer models, vector databases (e.g., FAISS, Pinecone), and prompt engineering. Hands-on experience with fine-tuning and optimizing large language models. Ability to work cross-functionally with data scientists, product managers, and software engineers. Strong communication skills with a problem-solving mindset. A passion for staying ahead in the rapidly evolving GenAI landscape.

Role: Gen AI Engineer Employment Type: FTE with Dimiour Work Location: Remote Shift Timings: General Day Shift IST Time Zone Experience Required: 5+ Years GenAI Engineers 5+ years of experts who are proficient in Python and familiar with AI/Gen AI frameworks. Experience with data manipulation libraries like Pandas and NumPy is crucial. Specific expertise in implementing and managing large language models (LLMs) is a must. Fast API experience for API development Should have hands on experience in Agentic AI Ability to diagnose accuracy drops in Retrieval-Augmented Generation (RAG) systems A solid grasp of software engineering principles, including version control (Git), continuous integration and continuous deployment (CI/CD) practices, and automated testing, is required. Experience in MLOps, ML engineering, and Data Science, with a proven track record of developing and maintaining AI solutions, is essential. Preferred candidate profile Immediate - 15days

Key Responsibilities: Design end-to-end ILM and archiving solutions tailored to enterprise business and regulatory needs. Develop and maintain ILM strategy and policies for structured and unstructured data. Lead the evaluation, selection, and integration of ILM/archiving tools and technologies (e.g., OpenText, IBM, SAP ILM, Azure Archive Storage, etc.). Collaborate with application, database, infrastructure, legal, and compliance teams to align ILM policies with regulatory requirements (e.g., GDPR, HIPAA, SOX). Define and implement data classification, retention schedules, archiving rules, and deletion workflows. Architect solutions to optimize storage cost and performance by tiering or archiving cold/inactive data. Provide subject matter expertise for enterprise archiving solutions during audits and legal discovery events. Oversee technical implementations including POCs, configurations, integrations, and migrations. Monitor ILM solution performance and ensure high availability and scalability. Document solution designs, standard operating procedures (SOPs), and best practices. Stay updated on emerging trends and technologies in ILM and data archiving. Required Qualifications: Bachelors or Master’s degree in Computer Science, Information Systems, or related field. 7+ years of experience in IT, with at least 3 years as a solution architect in ILM or data archiving domains. Strong hands-on experience with one or more ILM/archiving platforms such as: SAP ILM / SAP Data Archiving OpenText InfoArchive IBM Spectrum Protect / Tivoli Azure Blob Storage / Amazon S3 Glacier Veritas Enterprise Vault Proven track record of delivering ILM/archiving projects in large enterprise environments. Deep understanding of data privacy and compliance frameworks (e.g., GDPR, HIPAA, CCPA). Familiarity with data lifecycle, tiered storage, and archiving concepts. Strong problem-solving and stakeholder management skills.

AI / ML Engineer Work Location: Remote Shift Timings: General Day Shift IST Time Zone Experience Required: 5+ Years Job Description: AI/ML resource with ML Ops Key Skills: • 3+ years of experience in AI/ML/Gen AI use case development, deployment, and/or monitoring. • Hands-on understanding of AI observability concepts, model performance tracking, and monitoring tools. • Experience in documenting technical workflows, onboarding guides, and reporting dashboards. • Proficiency in working with AI platforms, cloud tools (e.g., Azure, GCP, AWS), and basic scripting. Required Skills: • Use Case Onboarding Support: Partner with AI/Gen AI use case teams across functions to guide them through the onboarding process onto the AI observability platform. • Troubleshooting & Enablement: Assist teams in identifying and resolving onboarding issues and recommend best practices for observability integration. • Stakeholder Engagement: • Conduct regular check-ins with use case owners to gather feedback, resolve issues, and provide updates on onboarding progress. • Documentation & Reporting: • Maintain up-to-date onboarding trackers, create documentation and status reports for leadership, and develop onboarding artifacts. • Cross-Functional Coordination: Act as a liaison between use case teams and the AI observability product team to share progress, blockers, and improvement opportunities. • Monitoring Support: • Provide assistance with bug fixes and other platform support activities that ensure ongoing monitoring and value realization. • Use Case Health Reporting: • Generate periodic reports on use case performance, health metrics, and provide insights or recommendations to enhance outcomes. • Knowledge Contribution: • Help build knowledge base and reusable onboarding documentation, FAQs, templates, and best practices.

About You: Youre driven to perform at the highest level possible, and you appreciate a performance culture fueled by authentic caring. You want to be part of a company actively dedicated to sustainability, inclusion, wellbeing, and career development. To succeed in this role, you will need the following qualifications: Critical Technical Skills: 5+ years of experience with hands-on involvement in data science projects (research or consulting experience is a plus; experience in CPG/Retail, Digital Marketing, e-Commerce, or Revenue Management preferred) A bachelor’s degree in a quantitative field (e.g., Engineering, Computer Science, Statistics, Economics, or Mathematics) - An advanced degree in a quantitative field is preferred and will be accepted in lieu of 2 years of experience. Proficiency in SQL and any one other programming language (e.g., R, Python, C++, Minitab, SAS, Matlab, VBA – knowledge of optimization engines such as CPLEX or Gurobi is a plus) Proficiency in any data visualization software (e.g., Power BI, Tableau, Qlik, D3, Shiny) Theoretical or practical experience in mathematical optimization techniques ( e.g. linear and non-linear optimization, mixed integer programming, sensitivity analysis, constraint programming etc.) Experience in machine learning methods (e.g. multivariate regression, feature engineering, random forests, XGBoost, elastic nets, hierarchical Bayesian regression, unsupervised learning, clustering/segmentation)

Job Description SAP MDM Consultant role: Key Responsibilities: Data Modeling in SAP MDM NetWeaver system Data Governance experience in setting up master data domain Business process understanding with functional aspects. Cross domain knowledge like BI, MM, FI for plug in MDM. Complete understanding in different MDM systems like import manager, syndication etc. He needs to also well verse with various scenarios like Consolidation, Harmonization and centrally. Implement enhancements, customizations, and integrations within SAP MDM applications. Collaborate with functional teams to understand business requirements and translate them into technical specifications. Expertise in reverse engineering of existing object within MDM landscape. Keep up to date with SAP advancements and industry best practices, making recommendations for improvements. Qualifications: Proven experience as an SAP MDM Consultant, with a deep understanding of SAP modules and processes. Strong proficiency in MDM objects with techno functional skillset.. Experience with SAP MDG is a plus. Excellent problem-solving skills and the ability to work in a fast-paced, dynamic environment. Strong communication and interpersonal skills to collaborate effectively with diverse teams. 5+ years SAP MDM Experience