567 Architecting Jobs - Page 2

Responsible for IT Infrastructure cross-platform technology areas demonstrating design and build expertise. Responsible for developing, architecting, and building AWS Cloud services with best practices, blueprints, patterns, high-availability and multi-region disaster recovery. Strong communication and collaboration skills Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise BE / B Tech in any stream, M.Sc. (Computer Science/IT) / M.C.A, with Minimum 3-5 plus years of experience Must have 3 + yrs of relevant experience in Python/ Java, AWS, Terraform/(IaC) Experience in Kubernetes, Docker, Shell scripting. Experienced in scripting languages Python (not someone who can write small scripts) Preferred technical and professional experience Experience using DevOps tools in a cloud environment, such as Ansible, Artifactory, Docker, GitHub, Jenkins, Kubernetes, Maven, and Sonar Qube Experience installing and configuring different application servers such as JBoss, Tomcat, and WebLogic Experience using monitoring solutions like CloudWatch, ELK Stack, and Prometheus

As a Enterprise Architect in IBM Consulting, you'll serve as a leader in defining solutions for clients. You'll be the advocate for the client while guiding the technical team to implementation.You'll collaborate with client stakeholders and internal partners to understand the business problem and requirements, constraints of the system and concerns of the various stakeholders to systematically transform detailed solutions (architectures) for the client.Your primary responsibilities include: Strategic Analysis and Modernized Solution DesignAnalyse and translate IT requirements using modernization frameworks into components of a modernized solution. Optimize Modernization Assets and MethodsReuse and enhance Digital modernization assets, methods, and collateral. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Strong skill’s expected in cloud platfo Bachelor's or higher degree in Computer Science, Information Technology, or related field. 15 – 20 years of experience in Technology Architecture domain 10+ years of experience in architecture and design, with a focus on enterprise-level solutions. Proven hands on expertise in Azure /AWS/GCP Cloud Strong understanding of cloud-native technologies, microservices, APIs, containers, Kubernetes and serverless computing. Experience in using atleast 2 Low Code platforms for development projects Experience in DevSecOps practices and tools. Experience in Gen AI based Code generators, Microsoft Co-Pilot Demonstrated experience in creating and maintaining cloud strategies and architectural standards. Experience of architecting medium & large complex systems in the India market- with a value greater than USD 2 Million. Must have expertise in working with at least 1 industry – financial services or manufacturing Should have had earlier career Experience in design, development and architecture of Java/JEE/.NET/Integration based systems Should have experience in Infrastructure architecture, Sizing, estimation, provisioning, and automation of compute/storage/network Excellent interpersonal and communication skills to collaborate effectively with cross-functional teams. Azure/AWS Architect Level Certification. India Market experience is mandatory Preferred technical and professional experience Experience in Agile ways of working Creative problem-solving skills Excellent written and oral communication skills

As an SAP Consultant, you are responsible for the technical design and implementation of the solution at our clients. You are an expert in your subject and a trusted advisor to our clients and internal teams. You communicate your points of view to IBM's global network of SAP architects and participate in the advancement of our consulting services. You are required to work in different sites, with many internal and external interfaces. Communication and collaboration with project teams and other professionals is key to successfully lead technical teams to a common goal and working with advanced technologies in the SAP space. Tasks will spread from optimizing existing environments from a solution point of view to personally realizing solutions in the area of HANA, Cloud and Mobile. Assist clients in the selection, implementation, and support of the SAP Hana Basis You will use your consulting skills, business knowledge, and packaged solution expertise to effectively integrate packaged technology into the client's business environment in order to achieve client expected business results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Minimum 5-8 years of experience in architecting and planning SAP Upgrade and database migration projects Proven track record of delivering SAP upgrades, migrations and other Basis related projects Demonstrated consulting background in providing both technical delivery and advisory services in a senior role Experience have experience in Real world SAP HANA BASIS Experience in backup/Restore/Recovery of SAP/Oracle installations, Server Monitoring and optimizing techniques Preferred technical and professional experience Certification in SAP OS (Operating System)/ DB (Database) Migration Consultant or Technology Associate - SAP Landscape Transformation 2.0 Experience in working in implementation, upgrade, maintenance and post- production support projects HANA Migration Basis Architect (ECC

Create Solution Outline and Macro Design to describe end to end product implementation in Data Platforms including, System integration, Data ingestion, Data processing, Serving layer, Design Patterns, Platform Architecture Principles for Data platform Contribute to pre-sales, sales support through RfP responses, Solution Architecture, Planning and Estimation Contribute to reusable components / asset / accelerator development to support capability development Participate in Customer presentations as Platform Architects / Subject Matter Experts on Big Data, Azure Cloud and related technologies Participate in customer PoCs to deliver the outcomes Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Candidates must have experience in designing of data products providing descriptive, prescriptive, and predictive analytics to end users or other systems 10 - 15 years of experience in data engineering and architecting data platforms 5 – 8 years’ experience in architecting and implementing Data Platforms Azure Cloud Platform. 5 – 8 years’ experience in architecting and implementing Data Platforms on-prem (Hadoop or DW appliance) Experience on Azure cloud is mandatory (ADLS Gen 1 / Gen2, Data Factory, Databricks, Synapse Analytics, Azure SQL, Cosmos DB, Event hub, Snowflake), Azure Purview, Microsoft Fabric, Kubernetes, Terraform, Airflow. Experience in Big Data stack (Hadoop ecosystem Hive, HBase, Kafka, Spark, Scala PySpark, Python etc.) with Cloudera or Hortonworks Preferred technical and professional experience Exposure to Data Cataloging and Governance solutions like Collibra, Alation, Watson Knowledge Catalog, dataBricks unity Catalog, Apache Atlas, Snowflake Data Glossary etc Candidates should have experience in delivering both business decision support systems (reporting, analytics) and data science domains / use cases

We are seeking a highly skilled and visionary Agentic AI Architect to lead the strategic design, development, and scalable implementation of autonomous AI systems within our organization. This role demands an individual with deep expertise in cutting-edge AI architectures, a strong commitment to ethical AI practices, and a proven ability to drive innovation. The ideal candidate will architect intelligent, self-directed decision-making systems that integrate seamlessly with enterprise workflows and propel our operational efficiency forward. Key Responsibilities As an Agentic AI Architect, you will: AI Architecture and System Design: Architect and design robust, scalable, and autonomous AI systems that seamlessly integrate with enterprise workflows, cloud platforms, and advanced LLM frameworks. Define blueprints for APIs, agents, and pipelines to enable dynamic, context-aware AI decision-making. Strategic AI Leadership: Provide technical leadership and strategic direction for AI initiatives focused on agentic systems. Guide cross-functional teams of AI engineers, data scientists, and developers in the adoption and implementation of advanced AI architectures. Framework and Platform Expertise: Evaluate, recommend, and implement leading AI tools and frameworks, with a strong focus on autonomous AI solutions (e.g., multi-agent frameworks, self-optimizing systems, LLM-driven decision engines). Drive the selection and utilization of cloud platforms (AWS SageMaker preferred, Azure ML, Google Cloud Vertex AI) for scalable AI deployments. Customization and Optimization: Design strategies for optimizing autonomous AI models for domain-specific tasks (e.g., real-time analytics, adaptive automation). Define methodologies for fine-tuning LLMs, multi-agent frameworks, and feedback loops to align with overarching business goals and architectural principles. Innovation and Research Integration: Spearhead the integration of R&D initiatives into production architectures, advancing agentic AI capabilities. Evaluate and prototype emerging frameworks (e.g., Autogen, AutoGPT, LangChain), neuro-symbolic architectures, and self-improving AI systems for architectural viability. Documentation and Architectural Blueprinting: Develop comprehensive technical white papers, architectural diagrams, and best practices for autonomous AI system design and deployment. Serve as a thought leader, sharing architectural insights at conferences and contributing to open-source AI communities. System Validation and Resilience: Design and oversee rigorous architectural testing of AI agents, including stress testing, adversarial scenario simulations, and bias mitigation strategies, ensuring alignment with compliance, ethical and performance benchmarks for robust production systems. Stakeholder Collaboration & Advocacy: Collaborate with executives, product teams, and compliance officers to align AI architectural initiatives with strategic objectives. Advocate for AI-driven innovation and architectural best practices across the organization. Qualifications: Technical Expertise: 12+ years of progressive experience in AI/ML, with a strong track record as an AI Architect , ML Architect, or AI Solutions Lead. 7+ years specifically focused on designing and architecting autonomous/agentic AI systems (e.g., multi-agent frameworks, self-optimizing systems, or LLM-driven decision engines). Expertise in Python (mandatory) and familiarity with Node.js for architectural integrations. Extensive hands-on experience with autonomous AI tools and frameworks : LangChain, Autogen, CrewAI, or architecting custom agentic frameworks. Proficiency in cloud platforms for AI architecture : AWS SageMaker (most preferred), Azure ML, or Google Cloud Vertex AI, with a deep understanding of their AI service offerings. Demonstrable experience with MLOps pipelines (e.g., Kubeflow, MLflow) and designing scalable deployment strategies for AI agents in production environments. Leadership & Strategic Acumen: Proven track record of leading the architectural direction of AI/ML teams, managing complex AI projects, and mentoring senior technical staff. Strong understanding and practical application of AI governance frameworks (e.g., EU AI Act, NIST AI RMF) and advanced bias mitigation techniques within AI architectures. Exceptional ability to translate complex technical AI concepts into clear, concise architectural plans and strategies for non-technical stakeholders and executive leadership. Ability to envision and articulate a long-term strategy for AI within the business, aligning AI initiatives with business objectives and market trends. Foster collaboration across various practices, including product management, engineering, and marketing, to ensure cohesive implementation of AI strategies that meet business goals.

As an Embedded Application Software Engineer at our company, you will be part of a dynamic team that values passion, goal-orientation, analytical problem-solving, dedication, self-driven learning, and effective communication. Your role will involve the development, enhancement, and testing of embedded software applications and middleware. You will independently focus on embedded software development and testing while also providing support to your colleagues. Your responsibilities will include active participation in various stages of software development using defined SDLC and development models for projects. Minimum Qualifications: - 8+ years of work experience in Embedded Software Application and Middleware Development and Testing. - Proficiency in C++, OOPS programming, with hands-on experience in Modern C++ (C++11/14). Preferred Qualifications: - Experience in architecting and designing applications using modern design patterns. - Proficiency in building development and cross-compilation environments, including experience with U-BOOT, Yocto, CMake, Makefiles, and Embedded Linux patch management. - Strong experience in TDD, unit test frameworks like Parasoft, Gmock/test, and continuous integration. Good to Have: - Experience with lower-level interfaces and exposure to BSP/driver development for various components such as DDRx, SDHC, LVDS, PCIexpress, SPI, I2S, UART, I2C, USB, eMMC, PMIC, Ethernet. - Familiarity with board bring-up, hardware-software debugging, and ARM processors. - Knowledge of Linux, VxWorks, and QNX operating systems/RTOS. - Understanding of basic communication protocols including serial and wireless. - Experience with products like hospital monitors (ECG, SPO2, CO2), defibrillators is a plus. - Familiarity with software configuration, defect management tools, and requirement management tools. - Exposure to regulated software development processes or familiarity with FDA and ISO standards like IEC 62304 is advantageous. Work Flexibility: Hybrid Travel Percentage: 10%,

We are seeking candidates with a minimum of 2 years of experience in implementing or supporting Oracle EPM cloud and/or Hyperion Modules. Experience in implementing one or more of Oracle EPM cloud suite of products such as Enterprise Planning and Budgeting Cloud (EPBC), Financial Consolidation and Close (FCC), Profitability and Cost Management (EPCM), Account Reconciliation Cloud (ARC), Tax Reporting Cloud (TRC), Enterprise Data Management Cloud (EDMC), Narrative Reporting Cloud, etc. The ideal candidates should possess the ability to understand user requirements in EPM and Finance domain and translate them into design specifications and architecting solutions. Candidates with experience in end-to-end Hyperion EPM Implementation, including Architecting, Installation, and application Design, are preferred. As part of the Infosys consulting team, you will play a crucial role in different project phases, including problem definition, effort estimation, diagnosis, solution generation, design, and deployment. Your responsibilities will include exploring alternatives to recommended solutions through research, creating requirement specifications, defining to-be processes, and developing detailed functional designs. You will support configuring solution requirements, diagnose issues, seek clarifications, and identify solution alternatives. Additionally, you will contribute to unit-level and organizational initiatives to provide high-quality, value-adding solutions to customers. If you are passionate about helping clients navigate their digital transformation journey, this role is for you. Key Responsibilities: - Actively aid the consulting team in various project phases - Explore and evaluate alternatives to recommended solutions - Create requirement specifications and detailed functional designs - Configure solution requirements and diagnose issues - Contribute to unit-level and organizational initiatives - Develop value-creating strategies and models for clients - Stay updated on latest technologies and industry trends - Demonstrate logical thinking, problem-solving skills, and ability to collaborate - Understand financial processes and various pricing models - Identify improvement areas in current processes and suggest technology solutions - Possess industry domain knowledge - Demonstrate client interfacing skills - Manage projects and teams effectively Qualifications: - Minimum of 2 years of experience in implementing or supporting Oracle EPM cloud and/or Hyperion Modules - Proficiency in Oracle EPM cloud suite of products - Ability to convert user requirements into design specifications - Experience in end-to-end Hyperion EPM Implementation is a plus - Strong problem-solving skills and logical thinking - Excellent communication and collaboration abilities - Understanding of financial processes and pricing models - Client interfacing and project management skills Join us at Infosys and be a part of a team that drives innovation, growth, and profitability for our clients. Apply now to embark on a rewarding digital transformation journey with us.,

As a Cloud Support Management Engineer in our Network Security, Technology Risk, and Information Security team based in Bangalore, you will play a crucial role in managing technical support functions within hybrid cloud environments. Your responsibilities will include overseeing, managing, and optimizing our cloud infrastructure to ensure robust security, compliance, and efficient incident response. You will be responsible for managing the operation and support of cloud infrastructure across AWS, GCP, and Azure environments. This includes tasks such as provisioning, monitoring, performance tuning, and lifecycle management of cloud services and resources. You will also be expected to respond to infrastructure incidents and security alerts, identify root causes, and implement corrective actions to prevent future occurrences. In addition, you will drive continuous improvement efforts in cloud automation, infrastructure as code, and cost optimization. This involves coordinating day-to-day operations related to cloud infrastructure support, ensuring timely resolution of escalated issues while maintaining high service quality and adherence to SLAs. Furthermore, you will facilitate cross-functional collaboration between infrastructure, DevOps, cloud security, compliance, and software engineering teams. Building playbooks and standard operating procedures (SOPs) will be crucial to enhancing team efficiency and knowledge sharing. Your expertise in leveraging Terraform for defining, deploying, and managing cloud infrastructure securely and efficiently will be essential. You will also be responsible for building CI/CD pipelines to automate cloud deployment and configuration tasks, as well as maintaining infrastructure configurations in source control repositories. Enforcing policies and guardrails through code to ensure consistent and compliant infrastructure environments will be a key focus area. Moreover, you will be expected to implement and enforce security configurations, access control policies, and network segmentation in cloud environments to proactively identify security risks and recommend architectural improvements. Monitoring, observability, and incident response will also fall within your purview, requiring you to develop runbooks and escalation paths for responding to incidents across cloud platforms. To qualify for this role, you should have at least 5 years of experience in cloud engineering or cloud support roles, with deep expertise in AWS, GCP, and Azure. Certifications such as AWS Certified Solutions Architect/DevOps Engineer, Google Cloud Professional Cloud Architect/Engineer, and Microsoft Certified: Azure Administrator/Solutions Architect are required or strongly preferred. You should also have extensive experience with Terraform, infrastructure as code (IaC), and managing infrastructure in version-controlled repositories. Strong problem-solving skills, excellent communication, and collaboration skills are also essential for success in this role.,

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. As a Staff member, your primary responsibilities and accountabilities will include: - Having experience with Oracle Cloud Infrastructure. - Handling Database Administration, Solution design, Database Migration, and manageability for Mission Critical Enterprise Applications in Datacenter and Cloud Deployments. - Leading End to End Database Migration from On-Prem to Cloud Infrastructure including Virtual Network Design, routing rules, security groups, Instance creation, and database deployment. - Managing Oracle databases such as 19c, 18c & 12c upgrade, production support, and cross-platform migration. - Upgrading Oracle Data Bases from 9i, 10g, and 11g to 12c, 18c & 19c on various platforms. - Possessing experience in databases other than Oracle like MS-SQL, PostgreSQL, Mongo. - Demonstrating good written/verbal communication, presentation, and interactive skills with teams across geographies. - Being flexible to work independently or collaboratively with the Cloud Infrastructure team to identify and implement efficient cloud-based solutions for the company. Good to have: - Knowledge on Engineered Systems including Oracle Exadata Cloud Machine. - Experience in Exadata administration, patching, and performance tuning. - Familiarity with DevOps tools like GitHub, Jenkins, Azure DevOps, Ansible, Terraform. Requirements (including Experience, Skills, And Additional Qualifications): - 2-4 years of relevant experience in architecting, designing, implementing, and/or supporting highly distributed applications. - Extensive experience working on at least one Public Cloud Oracle/Azure/Google. Oracle Cloud is preferred. - Certification in Public Cloud Oracle/AWS/Azure/Google Cloud Certified Architect Professional. - Technical experience in Designing, Developing, Deploying, and/or Migrating mission-critical business applications to Cloud environments including re-platforming of such systems. - Expertise in architecting best technical solutions based on customer requirements. - Experience in giving presentations to executive audiences and explaining the benefits of the platform and service solution over competitors. - Serving as a technical lead for engagements such as Proof of Concepts and Architectural Design Sessions to define and design a complete solution using best practices on Oracle Cloud. - System administration experience (Linux, Solaris). Competencies/Skills: - Possessing good communication skills to coordinate and resolve queries of both external and internal customers. - Being a self-motivator and result-oriented to complete tasks as per timelines. - Having good analytical and problem-solving skills. Education required: - BTech/MTech/MCA/MBA EY exists to build a better working world, helping to create long-term value for clients, people, and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform, and operate. Working across assurance, consulting, law, strategy, tax, and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.,

As a Level 3 Network Engineer at our company located in Vadodara, you will be required to have a B. Tech/B.E. degree in Computers/IT along with relevant certifications such as CCNA, CCNP, CCIE ITILv3. With at least 10-14 years of experience in the field, you will play a crucial role in our network infrastructure. Your responsibilities will include hands-on experience with various Network Technologies such as Routing, Switching, Firewall, Load Balancers, and Wireless Network. You will be involved in Network designing, Architecting, Troubleshooting, and Integrations. Your expertise in core and edge IP routing technologies including IPv4 and IPv6, BGP, OSPF, MPLS, and more will be essential. In this role, you will work with Cisco Nexus, ASR/ISR, SDN, SD-WAN, IPSEC, and SWITCHING technologies. Knowledge of Next-Gen Firewalls like Palo Alto, Cisco FP features, VPN, MPLS, ILL, L2/L3 Circuits configuration/Troubleshooting will be necessary. Familiarity with TCP/IP Suite, BGP, VPN, VLAN, Trunking, Etherchannels, Dot1x, Wireless, and ITSM tools like Service Now is expected. Your day-to-day tasks will involve troubleshooting Critical/Major Network Incidents, executing major Changes, assisting the L1 Team, configuring LAN/WAN equipment, working on wireless-related issues, and guiding L2, L1 Teams. Additionally, you will be responsible for preparing documentations, network diagrams, participating in Change Review Board Meetings, and proposing changes for improvement. Your role will also include generating reports for CPU Usage, Memory Usage, Bandwidth Usage of Network devices, preparing MIS data for tickets, coordinating with other teams, and working closely with Onsite Teams on various discussions, POC, and New technology Evaluation. If you have excellent communication & interpersonal skills, a proactive approach to problem-solving, and a passion for keeping up with the latest network technologies, we would like to hear from you. Join our team as a Full-time Network Engineer and contribute to the success of our network infrastructure in Vadodara.,

As a Junior Android developer at our fast-growing, agile startup based in Bhubaneswar, you will have the opportunity to contribute in various capacities. Your primary responsibilities will include: Architect (20% of time): - Taking the lead in architecting the integration of different components such as frontend, backend, and algorithms. - Collaborating with the founding team and founders to incorporate their ideas. Mobile Developer (70% of time): - Writing code and collaborating with team members on coding tasks. - Working closely with the hardware team member to develop the mobile application segment. - Proficiency in Android development is essential, while knowledge of iOS development is considered a bonus. - Experience with OpenCV and Image Processing is highly advantageous. Business Intelligence (5% of time): - Making informed business decisions aimed at enhancing user engagement and revenue. - Utilizing tools like analytics dashboard and leading brainstorming sessions to generate innovative ideas with the team. Misc (5%): - Involving occasional user interviews, up-skilling initiatives, researching emerging technologies, and business travel. - This role is tailored for individuals passionate about working in startup environments, where challenges are abundant. - You will have the opportunity to create groundbreaking solutions and witness the impact of your code across different timezones. - Remuneration and equity will be commensurate with your experience and performance during the interview process. - If you are enthusiastic about this journey, we encourage you to apply and be part of our dynamic team.,

Who we are looking for: We are seeking a skilled and motivated engineer to join our Data Infrastructure team. The Data Infrastructure engineering team is responsible for the tools and backend infrastructure that supports our data platform to optimize in performance scalability and reliability. This role requires strong focus and experience in multi-cloud based technologies, message bus systems, automated deployments using containerized applications, design, development, database management and performance, SOX compliance requirements, and implementation of infrastructure using automation through terraform and continuous delivery and batch-oriented workflows. As a Data Infrastructure Engineer at ACV Auctions, you will work alongside and mentor software and production engineers in the development of solutions to ACV’s most complex data and software problems. You will be an engineer that is able to operate in a high performing team, that can balance high quality deliverables with customer focus, have excellent communication skills, desire and ability to mentor and guide engineers, and have a record of delivering results in a fast paced environment. It is expected that you are a technical liaison that you can balance high quality delivery with customer focus, that you have excellent communication skills, and that you have a record of delivering results in a fast-paced environment. What you will be doing: Collaborate with cross-functional teams, including Data Scientists, Software Engineers, Data Engineers, and Data Analysts, to understand data requirements and translate them into technical specifications. Influence company wide engineering standards for databases, tooling, languages, and build systems. Design, implement, and maintain scalable and high-performance data infrastructure solutions, with a primary focus on data. Design, implement, and maintain tools and best practices for (but not limited to) access control, data versioning, database management, and migration strategies. Contribute, influence, and set standards for all technical aspects of a product or service including, but not limited to, coding, testing, debugging, performance, languages, database selection, management and deployment. Identify and troubleshoot database/system issues and bottlenecks, working closely with the engineering team to implement effective solutions. Write clean, maintainable, well-commented code and automation to support our data infrastructure layer. Perform code reviews, develop high-quality documentation, and build robust test suites for your products. Provide technical support for databases, including troubleshooting, performance tuning, and resolving complex issues. Collaborate with software and DevOps engineers to design scalable services, plan feature roll-out, and ensure high reliability and performance of our products. Collaborate with development teams and data science teams to design and optimize database schemas, queries, and stored procedures for maximum efficiency. Participate in the SOX audits, including creation of standards and reproducible audit evidence through automation Create and maintain documentation for database and system configurations, procedures, and troubleshooting guides. Maintain and extend (as required) existing database operations solutions for backups, index defragmentation, data retention, etc. Respond-to and troubleshoot highly complex problems quickly, efficiently, and effectively. Accountable for the overall performance of products and/or services within a defined area of focus. Be part of the on-call rotation. Handle multiple competing priorities in an agile, fast-paced environment. Perform additional duties as assigned What you need: Bachelor’s degree in computer science, Information Technology, or a related field (or equivalent work experience) Ability to read, write, speak, and understand English Strong communication and collaboration skills, with the ability to work effectively in a fast paced global team environment 1+ years experience architecting, developing, and delivering software products with emphasis on data infrastructure layer 1+ years work with continuous integration and build tools. 1+ years experience programing in Python 1+ years experience with Cloud platforms preferably in GCP/AWS Knowledge in day-day tools and how they work including deployments, k8s, monitoring systems, and testing tools. Knowledge in version control systems including trunk-based development, multiple release planning, cherry picking, and rebase. Hands-on skills and the ability to drill deep into the complex system design and implementation. Experience with: DevOps practices and tools for database automation and infrastructure provisioning Programming in Python, SQL Github, Jenkins Infrastructure as code tooling, such as terraform, preferred Big data technologies and distributed databases Nice to Have Qualifications: Experience with NoSQL data stores Airflow, Docker, Containers, Kubernetes, DataDog, Fivetran Database monitoring and diagnostic tools, preferably Data Dog. Database management/administration with PostgreSQL, MySQL, Dynamo, Mongo GCP/BigQuery, Confluent Kafka Using and integrating with cloud services, specifically: AWS RDS, Aurora, S3, GCP Service Oriented Architecture/Microservices and Event Sourcing in a platform like Kafka (preferred) Familiarity with DevOps practices and tools for automation and infrastructure provisioning. Hands-on experience with SOX compliance requirements Knowledge of data warehousing concepts and technologies, including dimensional modeling and ETL frameworks Knowledge of database design principles, data modeling, architecture, infrastructure, security principles, best practices, performance tuning and optimization techniques #LI-AM1

Who we are looking for: We are seeking a skilled and motivated engineer to join our Data Infrastructure team. The Data Infrastructure engineering team is responsible for the tools and backend infrastructure that supports our data platform to optimize in performance scalability and reliability. This role requires strong focus and experience in multi-cloud based technologies, message bus systems, automated deployments using containerized applications, design, development, database management and performance, SOX compliance requirements, and implementation of infrastructure using automation through terraform and continuous delivery and batch-oriented workflows. As a Data Infrastructure Engineer at ACV Auctions, you will work alongside and mentor software and production engineers in the development of solutions to ACV’s most complex data and software problems. You will be an engineer that is able to operate in a high performing team, that can balance high quality deliverables with customer focus, have excellent communication skills, desire and ability to mentor and guide engineers, and have a record of delivering results in a fast paced environment. It is expected that you are a technical liaison that you can balance high quality delivery with customer focus, that you have excellent communication skills, and that you have a record of delivering results in a fast-paced environment. What you will be doing: Collaborate with cross-functional teams, including Data Scientists, Software Engineers, Data Engineers, and Data Analysts, to understand data requirements and translate them into technical specifications. Influence company wide engineering standards for databases, tooling, languages, and build systems. Design, implement, and maintain scalable and high-performance data infrastructure solutions, with a primary focus on data. Design, implement, and maintain tools and best practices for (but not limited to) access control, data versioning, database management, and migration strategies. Contribute, influence, and set standards for all technical aspects of a product or service including, but not limited to, coding, testing, debugging, performance, languages, database selection, management and deployment. Identify and troubleshoot database/system issues and bottlenecks, working closely with the engineering team to implement effective solutions. Write clean, maintainable, well-commented code and automation to support our data infrastructure layer. Perform code reviews, develop high-quality documentation, and build robust test suites for your products. Provide technical support for databases, including troubleshooting, performance tuning, and resolving complex issues. Collaborate with software and DevOps engineers to design scalable services, plan feature roll-out, and ensure high reliability and performance of our products. Collaborate with development teams and data science teams to design and optimize database schemas, queries, and stored procedures for maximum efficiency. Participate in the SOX audits, including creation of standards and reproducible audit evidence through automation Create and maintain documentation for database and system configurations, procedures, and troubleshooting guides. Maintain and extend (as required) existing database operations solutions for backups, index defragmentation, data retention, etc. Respond-to and troubleshoot highly complex problems quickly, efficiently, and effectively. Accountable for the overall performance of products and/or services within a defined area of focus. Be part of the on-call rotation. Handle multiple competing priorities in an agile, fast-paced environment. Perform additional duties as assigned What you need: Bachelor’s degree in computer science, Information Technology, or a related field (or equivalent work experience) Ability to read, write, speak, and understand English Strong communication and collaboration skills, with the ability to work effectively in a fast paced global team environment 1+ years experience architecting, developing, and delivering software products with emphasis on data infrastructure layer 1+ years work with continuous integration and build tools. 1+ years experience programing in Python 1+ years experience with Cloud platforms preferably in GCP/AWS Knowledge in day-day tools and how they work including deployments, k8s, monitoring systems, and testing tools. Knowledge in version control systems including trunk-based development, multiple release planning, cherry picking, and rebase. Hands-on skills and the ability to drill deep into the complex system design and implementation. Experience with: DevOps practices and tools for database automation and infrastructure provisioning Programming in Python, SQL Github, Jenkins Infrastructure as code tooling, such as terraform, preferred Big data technologies and distributed databases Nice to Have Qualifications: Experience with NoSQL data stores Airflow, Docker, Containers, Kubernetes, DataDog, Fivetran Database monitoring and diagnostic tools, preferably Data Dog. Database management/administration with PostgreSQL, MySQL, Dynamo, Mongo GCP/BigQuery, Confluent Kafka Using and integrating with cloud services, specifically: AWS RDS, Aurora, S3, GCP Service Oriented Architecture/Microservices and Event Sourcing in a platform like Kafka (preferred) Familiarity with DevOps practices and tools for automation and infrastructure provisioning. Hands-on experience with SOX compliance requirements Knowledge of data warehousing concepts and technologies, including dimensional modeling and ETL frameworks Knowledge of database design principles, data modeling, architecture, infrastructure, security principles, best practices, performance tuning and optimization techniques #LI-AM1

Hello, Greetings from GEM Engserv Pvt Ltd. We have an excellent job opening for Architect profile @ BKC location. About the Company: Our client is a prominent Real Estate and Commercial space developer in Mumbai. Job Description: We are seeking an experienced Architect to join our clients team in Mumbai. The ideal candidate will have a strong architectural background with a minimum of 6+ years of experience in the field. You will play a key role in the design and development of real estate and commercial projects, from conceptualization to execution. Candidates who can join at short notice will be given preference. Job Title : Architect Experience Required : Minimum 5 years, with expertise in premium residential or commercial projects. Qualification: Bachelor of Architecture (B. Arch) Location : BKC Industry : Real Estate and Commercial Space Development Skills: Proficiency in AutoCAD, Revit, Rhino, Google SketchUp, Photoshop. Knowledge of DCPR 2034. Job Summary: We are seeking a skilled and creative Architect to lead and support architectural design projects from concept to completion. The ideal candidate will collaborate with consultants, manage documentation, and ensure compliance with all applicable codes and regulations. This role involves both design development and on-site coordination to ensure successful project execution. Key Responsibilities: - Deliver high-quality, cost-effective, and timely architectural solutions. - Develop conceptual and detailed architectural designs and drawings. - Ensure compliance with local regulations, codes, and zoning laws. - Coordinate with structural, MEP, and other consultants for seamless integration. - Assist in preparing project documentation including drawings, specifications, and reports. - Conduct site visits to assess progress and resolve design issues. - Collaborate with internal teams and participate in design reviews and meetings. - Stay updated with industry trends, technologies, and sustainable design practices. Qualifications: - Proven experience in architectural design and project coordination. - Proficiency in AutoCAD, Revit, SketchUp, Adobe Creative Suite, and other design tools. - Strong visualization, presentation, and communication skills. - Ability to work independently and in a team-oriented environment. - Knowledge of sustainable and innovative design solutions. Interested candidate can mail across their CV on enakshi.mukherjee@gemengserv.com

Job Role We are looking for Solution Architects for designing data management solutions, having strong knowledge of architecting and designing highly available and scalable database on cloud He will deliver hands-on, business-oriented strategic and technical consulting to requirements towards cloud native and marketplace data / database management architecture and solutions Key Responsibilities • Designing PaaS and IaaS database technology (RDBMS, NoSQL, Distributed database) • Designing cloud infrastructure services (Compute, Storage, Network etc) for DB deployment • Design Database Authentication and Authorization (IAM, RBAC) solution • Capacity planning, performance analysis and database optimization to manage DB workload • Analysing and Identifying infrastructure requirements for on premise, and on other cloud environments like Azure, Google, AWS • Designing High Availability and Disaster Recovery solution for Database deployment on IaaS and PaaS platform • Designing database Backup and Recovery solution using native or enterprise backup solution • Designing database / data management and optimization job / task automation • Designing Homogeneous and Heterogeneous database migration solution within On-Premise or On-Premise to Cloud (IaaS and PaaS) • Designing database monitoring, alert notification/reporting, data masking/encryption solutions • Designing ETL / ELT solution for data ingestion and data transformation • Mentor implementation teams, handhold when needed on best practices and make sure the solution is implemented in right way • Prepare high-level and low-level design document as required for implementation team • Databases Technology and DB Services: Azure SQL, Azure SQL MI, PostgreSQL, MySQL, Oracle, SQL Server, AWS RDS, Amazon Aurora, Cloud SQL, Cloud Spanner, Cosmos DB, Azure Synapse Analytics / Google BigQuery / Amazon Redshift Educational Qualifications : Bachelor's degree in Engineering / Computer Science, Computer Engineering, Information Technology. (B.Tech / BE/ M.Tech/ MCA) - Full time What are the nature and scope of responsibilities the candidate should have handled? • Understand customer's overall data estate, business principles, operations, and discover / assessment database workload • Designing / complex, highly available, distributed, failsafe Cloud manage and unmanage database • HLD and LLD document preparation • Evaluate and recommend Cloud manage database services best suited for customer needs for optimal solution • Drive Cloud manage database technology initiatives end to end and across multiple layers of architecture • Provides strong technical leadership in adopting and contributing to open source / Cloud manage / Cloud unmanage database technologies Knowledge & Skills • Understanding of Public / Private / Hybrid Cloud solutions and Database services on Cloud • Extensive experience in conducting Cloud Readiness Assessments for database environment and observing business / technical perspectives • Knowledge of Cloud best practices and guidelines for database deployment • Knowledge of cloud native HA-DR and database backup solutions • Experience and Strong knowledge of Reference Architectures of Azure / GCP • Azure / GCP certified Architect (preferred) • Good Oral and Written communication • Ability to work on a distributed and multi-cultural team • Good understanding of ITSM processes and related tools • Willing to learn and explore new technologies

Key Responsibilities: Act as the technical lead and solution architect for all navigation-related engagements Design end-to-end workflows and automation solutions for HD Maps, ADAS features, and navigation data processing. Work closely with map production teams to integrate advanced tools, ML models, and quality gates. Translate business and operational challenges into scalable, modular technical solutions. Evaluate and define architecture involving various navigation data formats – e.g., Multinet, NDS, SD/HD formats. Lead automation initiatives, including smart editing tools, data validation engines, and AI-driven map update mechanisms. Stay updated with industry trends (e.g., NDS.Live, autonomous driving formats) and provide thought leadership. Drive capability building initiatives, including technical onboarding, knowledge sessions, and training programs. Required Skills & Experience: 10+ years of experience in Navigation, Automotive Mapping, or Location-based services. Strong understanding of HD/ADAS mapping concepts, map layers, localization features, sensor fusion input formats. Hands-on experience with navigation formats like Multinet, NDS (classic and Live), proprietary formats. Proven experience in building or architecting automation platforms/workflows for map editing or validation. Working knowledge of AI/ML concepts and their applications in map data enrichment or QA. Familiarity with geospatial tools, routing engines, and simulation platforms. Data sourcing, validation, enrichment, integration, and version control Excellent communication and stakeholder management skills, especially in a client-facing role. Preferred Qualifications: Bachelor’s/Master’s in Geoinformatics, Geography, Computer Science, or related fields Experience working with or for TomTom, HERE, Mapbox, or OEM Tier-1 suppliers. Exposure to cloud-based solutions (AWS, Azure) and CI/CD pipelines for automation deployments. Understanding of regulatory policies like India’s New Mapping Policy, GDPR (for map data), etc.

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Data Engineering Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : BTECH Summary :seeking a hands-on Senior Engineering Manager of Data Platform to spearhead the development of capabilities that power Vertex products while providing a connected experience for our customers. This role demands a deep engineering background with hands-on experience in building and scaling production-level systems. The ideal candidate will excel in leading teams to deliver high-quality data products and will provide mentorship, guidance, and leadership.In this role, you will work to increase the domain data coverage and adoption of the Data Platform by promoting a connected user experience through data. You will increase data literacy and trust by leading our Data Governance and Master Data Management initiatives. You will contribute to the vision and roadmap of self-serve capabilities through the Data Platform. Roles & Responsibilities:Be hands-on in leading the development of features that enhance self-service capabilities of our data platform, ensuring the platform is scalable, reliable, and fully aligned with business objectives, and defining and implementing best practices in data architecture, data modeling, and data governance.Work closely with Product, Engineering, and other departments to ensure the data platform meets business requirements.Influence cross-functional initiatives related to data tools, governance, and cross-domain data sharing. Ensure technical designs are thoroughly evaluated and aligned with business objectives.Determine appropriate recruiting of staff to achieve goals and objectives. Interview, recruit, develop and retain top talent.Manage and mentor a team of engineers, fostering a collaborative and high-performance culture, and encouraging a growth mindset and accountability for outcomes. Interpret how the business strategy links to individual roles and responsibilities.Provide career development opportunities and establish processes and practices for knowledge sharing and communication.Partner with external vendors to address issues, and technical challenges.Stay current with emerging technologies and industry trends in field to ensure the platform remains cutting-edge. Professional & Technical Skills: 12+ years of hands-on experience in software development (preferably in the data space), with 3+ years of people management experience, demonstrating success in building, growing, and managing multiple teams.Extensive experience in architecting and building complex data platforms and products. In-depth knowledge of cloud-based services and data tools such as Snowflake, AWS, Azure, with expertise in data ingestion, normalization, and modeling.Strong experience in building and scaling production-level cloud-based data systems utilizing data ingestion tools like Fivetran, Data Quality and Observability tools like Monte Carlo, Data Catalog like Atlan and Master Data tools like Reltio or Informatica.Thorough understanding of best practices regarding agile software development and software testing.Experience of deploying cloud-based applications using automated CI/CD processes and container technologies.Understanding of security best practices when architecting SaaS applications on cloud Infrastructure.Ability to understand complex business systems and a willingness to learn and apply new technologies as needed.Proven ability to influence and deliver high-impact initiatives. Forward-thinking mindset with the ability to define and drive the teams mission, vision, and long-term strategies.Excellent leadership skills with a track record of managing teams and collaborating effectively across departments. Strong written and communication skills.Proven ability to work with and lead remote teams to achieve sustainable long-term success.Work together and Get Stuff Done attitude without losing sight of quality, and a sense of responsibility to customers and the team. Additional Information:- The candidate should have a minimum of 12 years of experience in Data Engineering.- This position is based at our Hyderabad office.- A 15 years full-time education is required. Qualification BTECH

Skill required: Tech for Operations - Technology Architecture Designation: AI/ML Computational Science Manager Qualifications: Any Graduation/Post Graduate Diploma in Management Years of Experience: 13 to 18 years Language - Ability: English(Domestic) - Advanced About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do You will be part of the Technology for Operations team that acts as a trusted advisor and partner to Accenture Operations. The team provides innovative and secure technologies to help clients build an intelligent operating model, driving exceptional results. We work closely with the sales, offering and delivery teams to identify and build innovative solutions.The Tech For Operations (TFO) team provides innovative and secure technologies to help clients build an intelligent operating model, driving exceptional results. Works closely with the sales, offering and delivery teams to identify and build innovative solutions. Major sub deals include AHO(Application Hosting Operations), ISMT (Infrastructure Management), Intelligent AutomationProcess of development of methodical information technology specifications, models and guidelines, using a variety of Information Technology notations. Estimating, architecting, implementing, testing, assessing and selling Technology Architectures, including but not limited to all the ADM Technology Architecture work-stream activities and deliverables, covering the required blueprint & roadmap, analysis, design, build, test and deploy phases. What are we looking for Python (Programming Language)Python Software DevelopmentMicrosoft SQL ServerMicrosoft SQL Server Integration Services (SSIS)AI ArchitectureAbility to work well in a teamWritten and verbal communicationNumerical abilityResults orientation2 CL7 Agent Architects Roles and Responsibilities: In this role you are required to identify and assess complex problems for area of responsibility The person would create solutions in situations in which analysis requires an in-depth evaluation of variable factors Requires adherence to strategic direction set by senior management when establishing near-term goals Interaction of the individual is with senior management at a client and/or within Accenture, involving matters that may require acceptance of an alternate approach Some latitude in decision-making in involved you will act independently to determine methods and procedures on new assignments Decisions individual at this role makes have a major day to day impact on area of responsibility The person manages large - medium sized teams and/or work efforts (if in an individual contributor role) at a client or within Accenture Please note that this role may require you to work in rotational shifts Qualification Any Graduation,Post Graduate Diploma in Management

Project Role : Large Language Model Architect Project Role Description : Architect large language models (LLM) that can process and generate natural language. Design neural network parameters, trained on large quantities of unlabeled text data. Must have skills : Large Language Models Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Large Language Model Architect, you will be responsible for architecting large language models that can effectively process and generate natural language. Your typical day will involve designing neural network parameters and working with extensive datasets to ensure the models are trained on large quantities of unlabeled text data. You will collaborate with various teams to refine model performance and contribute to innovative solutions in natural language processing. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor and evaluate the performance of language models to ensure optimal functionality. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of neural network architectures and their applications.- Experience with natural language processing techniques and tools.- Familiarity with data preprocessing and augmentation methods.- Ability to analyze and interpret model performance metrics. Additional Information:- The candidate should have minimum 12 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Large Language Model Architect Project Role Description : Architect large language models (LLM) that can process and generate natural language. Design neural network parameters, trained on large quantities of unlabeled text data. Must have skills : Large Language Models Good to have skills : NAMinimum 15 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Large Language Model Architect, you will be responsible for architecting large language models that are capable of processing and generating natural language. Your typical day will involve designing neural network parameters and working with extensive datasets to ensure the models are trained effectively on large quantities of unlabeled text data. You will collaborate with various teams to refine model performance and contribute to innovative solutions in the field of natural language processing. Roles & Responsibilities:- Expected to be a Subject Matter Expert with deep knowledge and experience.- Should have influencing and advisory skills.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Mentor junior professionals in best practices and model development techniques.- Continuously evaluate and improve model performance based on feedback and new research. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of neural network architectures and their applications.- Experience with natural language processing techniques and tools.- Familiarity with data preprocessing and augmentation methods.- Ability to analyze and interpret model performance metrics. Additional Information:- The candidate should have minimum 15 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Large Language Model Architect Project Role Description : Architect large language models (LLM) that can process and generate natural language. Design neural network parameters, trained on large quantities of unlabeled text data. Must have skills : Large Language Models Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Large Language Model Architect, you will be responsible for architecting large language models that can effectively process and generate natural language. Your typical day will involve designing neural network parameters and working with extensive datasets to ensure the models are trained on large quantities of unlabeled text data. You will collaborate with various teams to refine model performance and contribute to innovative solutions in natural language processing. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate knowledge sharing and mentorship within the team to enhance overall capabilities.- Continuously evaluate and improve model architectures based on emerging research and technologies. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of neural network architectures and their applications in natural language processing.- Experience with training and fine-tuning large-scale models on diverse datasets.- Familiarity with optimization techniques for model performance enhancement.- Ability to analyze and interpret model outputs to drive improvements. Additional Information:- The candidate should have minimum 12 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Large Language Model Architect Project Role Description : Architect large language models (LLM) that can process and generate natural language. Design neural network parameters, trained on large quantities of unlabeled text data. Must have skills : Accenture Delivery Architectures (ADA) Good to have skills : NAMinimum 15 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Large Language Model Architect, you will be responsible for architecting large language models that are capable of processing and generating natural language. Your typical day will involve designing neural network parameters and working with extensive datasets to ensure the models are trained effectively on large quantities of unlabeled text data. You will collaborate with various teams to refine model performance and contribute to innovative solutions in the field of natural language processing. Roles & Responsibilities:- Expected to be a Subject Matter Expert with deep knowledge and experience.- Should have influencing and advisory skills.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate workshops and discussions to gather requirements and feedback from stakeholders.- Mentor junior professionals in best practices and emerging technologies. Professional & Technical Skills: - Must To Have Skills: Proficiency in Accenture Delivery Architectures (ADA).- Strong understanding of natural language processing techniques.- Experience with neural network design and optimization.- Familiarity with large-scale data processing frameworks.- Ability to analyze and interpret complex datasets. Additional Information:- The candidate should have minimum 15 years of experience in Accenture Delivery Architectures (ADA).- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Software Development Engineer Project Role Description : Analyze, design, code and test multiple components of application code across one or more clients. Perform maintenance, enhancements and/or development work. Must have skills : BlueYonder Order Management Good to have skills : BlueYonder Enterprise Supply PlanningMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :We are seeking an experienced Blue Yonder Order Promisor (OP) Architect with hands-on expertise in Blue Yonder ESP (Enterprise Supply Planning) to join our growing supply chain technology team. The ideal candidate will have a strong background in implementing and architecting end-to-end BY Order Promisor solutions, with at least two full-cycle OP implementations. This role requires a mix of solutioning, functional leadership, stakeholder management, and technical understanding to deliver complex omni-channel and supply chain fulfillment solutions.Key Responsibilities:- Lead the design and architecture of Blue Yonder Order Promisor solutions across enterprise clients.- Drive the end-to-end implementation of OP modules, including design, configuration, testing, deployment, and post-go-live support.- Integrate Order Promisor with ESP (Enterprise Supply Planning), WMS, TMS, OMS, and other enterprise systems.- Provide solution architecture leadership, guiding functional and technical teams.- Engage with clients to gather business requirements and map them to BY OP functionalities.- Define and document functional specifications, interface designs, and integration architecture.- Ensure system scalability, performance, and alignment with clients fulfillment strategies.- Support pre-sales by contributing to RFPs, solution proposals, and effort estimation.- Collaborate with offshore and cross-functional teams to ensure seamless delivery.- Conduct solution workshops, training sessions, and knowledge transfer.Required Skills & Experience:- 12+ years of overall experience in IT or Supply Chain domain.- Minimum 5+ years of experience with Blue Yonder Order Promisor (OP).- At least 2 full-cycle end-to-end implementations of BY OP as Solution/Technical Architect.- Deep understanding of ESP (Enterprise Supply Planning) and its integration with OP.- Strong experience in supply chain order promising, sourcing rules, availability checks, and ATP logic.- Hands-on experience in MOCA, Integrator, and BY data modeling.- Familiarity with integrating BY OP with OMS, ERP, WMS, and eCommerce platforms.- Strong communication and stakeholder engagement skills.- Proven ability to lead teams and manage client expectations Additional Information:- The candidate should have minimum 3 years of experience in Business Requirements Analysis.- This position is based at our Chennai office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Large Language Model Architect Project Role Description : Architect large language models (LLM) that can process and generate natural language. Design neural network parameters, trained on large quantities of unlabeled text data. Must have skills : Large Language Models Good to have skills : NAMinimum 15 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Large Language Model Architect, you will be responsible for architecting large language models that can effectively process and generate natural language. Your typical day will involve designing neural network parameters and working with extensive datasets to ensure the models are trained on large quantities of unlabeled text data. You will collaborate with various teams to refine model performance and contribute to innovative solutions in natural language processing. Roles & Responsibilities:- Expected to be a Subject Matter Expert with deep knowledge and experience.- Should have influencing and advisory skills.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Mentor junior professionals to foster their growth and understanding of large language models. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of neural network architectures and their applications.- Experience with natural language processing techniques and tools.- Familiarity with data preprocessing and augmentation methods.- Ability to analyze and interpret model performance metrics. Additional Information:- The candidate should have minimum 15 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Job description Role & responsibilities The candidate will be responsible for generating New Business for Exhibition. Development of new corporate clients for exhibitions. Client Interaction & Business Generation. The candidate will be responsible for handling Project Development starting from the Concept Layout, Space Planning to the co-ordination and Execution. Will be have to ensure the achievement of Monthly, Quarterly, Yearly Targets for the Team Will have to ensure the delivery to the client is up to his expected level of Quality Upgrading the skill levels of the team members Will be responsible to Review the on-going work and the new Business generation for the team To research new leads and follow up existing leads Preferred candidate profile Excellent leadership qualities & technically sound. Excellent communication, problem-solving, management and organizational skills. Candidate with good exposure with architectural/interior Firm with exposure to Retail projects preferred. Should have good contacts within the Industry. Eye for Detailing and anticipation of problems