110 Network Architectures Jobs

Competitive Salary Medical and Gratuity Job Description Documenting network topologies, configurations and changes Collaboration with external service providers and company-wide collaboration with other IT and OT product teams The Successful Applicant Successfully completed studies in communications engineering, computer science or comparable qualification Several years of experience as a system engineer in the field of OT networks Knowledge of network architectures, protocols, standards and technologies (e.g. Ethernet, TCP/IP, VLANs, VPNs, routing protocols, IEC-62443) Experience with industrial network components and technologies as well as knowledge of network security for OT networks Certifications in Cisco and Fortinet or similar are an advantage Business fluent in English Independent and solution-oriented way of working, excellent communication and teamwork skills in international teams What's on Offer Competitive compensation commensurate with role and skill set Medical Insurance Coverage worth of 10 Lacs Social Benifits including PF & Gratuity A fast-paced, growth-oriented environment with the associated (challenges and) rewards Opportunity to grow and develop your own skills and create your future

Position: R&D Senior Member of Technical Staff, Cloud Security Location: Hyderabad or Bangalore, India Type: Full time permanent Path: Individual Contributor About the Role As part of the Research and Development function, the global Cloud DevOps team combines software development and cloud operations to provide continuous integration and delivery of cloud-enabled products and solutions. Responsible for deployment and continuous monitoring to ensure various cloud-specific customer requirements/SLAs are met. As a Principal Cloud Operations Developer, you will utilise your experience to continually improve the security posture of AVEVAs Cloud solutions, as well as lead and implement improvements to the deployment process and our monitoring and reporting capabilities. You will also support and guide development teams and create best-practice templates and processes. Working closely with your development and portfolio colleagues, together you will bring new solutions to the cloud following a standard framework to ensure they are operationally secure, stable and scalable. The global, 24x7 nature of the team means there may be a requirement for occasional work outside of the standard day and to be on call as part of a shared team rota. Key responsibilities Provide timely and effective response to incidents, particularly security incidents, to minimize the impact on our customers and keep colleagues updated as required. Work with development teams to advise and contribute to security improvements, cloud architecture, operational stability, cost management and reporting requirements for our cloud solutions. Independently learn, gain expertise and then lead implementations of new capabilities and tools supporting security and infrastructure governance and monitoring. Continually develop and improve DevOps processes, adding value through optimization, automation and effective reporting. Proactively manage cloud environment security to minimize service impacting issues. Ensure new services meet required security and operational readiness standards before being accepted into operations. Ensure on-going compliance to security practices and policies. Provide subject matter expertise to business stakeholders as required. Stay current on security industry trends, tools and best practices. Qualifications The following list applies to Azure and/or AWS Platforms. Hands-on in cloud infrastructure as code development, with the ability to lead architecture and technology evaluations and decisions. Willingness to learn cloud security principles, practices and tools. Strong enterprise software development experience preferably with e.g. C# .NET. Expertise in PowerShell, Bash and/or Node JS scripting. Knowledge of API development, REST, microservices and serverless architectures. Knowledge and experience of operational support, software development and deployment methodologies and principles. Strong written, verbal and presentation skills, able to convey information clearly and concisely to technical and non-technical audiences. Attention to detail, diligent and tenacious. Excellent analysis and dissemination skills. High degree of personal motivation and ability to self-manage. Maintains and develops relevant industry and technology knowledge. Preferred Qualifications Web application development. Experience/expertise in authentication and authorisation protocols such as OpenID Connect. Experience/expertise in DNS, TLS and network architectures. Experience in web application security principles and practices, or penetration testing. Certifications in Azure and/or AWS. Hands-on experience working within an Information Security accredited framework e.g. ISO27001, 27017/18. Experience working in Agile software development such as Scaled Agile Framework (SAFe).

About the Role As part of the Research and Development function, the global Cloud DevOps team combines software development and cloud operations to provide continuous integration and delivery of cloud-enabled products and solutions. Responsible for deployment and continuous monitoring to ensure various cloud-specific customer requirements/SLAs are met. As a Principal Cloud Operations Developer, you will utilise your experience to continually improve the security posture of AVEVAs Cloud solutions, as well as lead and implement improvements to the deployment process and our monitoring and reporting capabilities. You will also support and guide development teams and create best-practice templates and processes. Working closely with your development and portfolio colleagues, together you will bring new solutions to the cloud following a standard framework to ensure they are operationally secure, stable and scalable. The global, 24x7 nature of the team means there may be a requirement for occasional work outside of the standard day and to be on call as part of a shared team rota. Key responsibilities Provide timely and effective response to incidents, particularly security incidents, to minimize the impact on our customers and keep colleagues updated as required. Work with development teams to advise and contribute to security improvements, cloud architecture, operational stability, cost management and reporting requirements for our cloud solutions. Independently learn, gain expertise and then lead implementations of new capabilities and tools supporting security and infrastructure governance and monitoring. Continually develop and improve DevOps processes, adding value through optimization, automation and effective reporting. Proactively manage cloud environment security to minimize service impacting issues. Ensure new services meet required security and operational readiness standards before being accepted into operations. Ensure on-going compliance to security practices and policies. Provide subject matter expertise to business stakeholders as required. Stay current on security industry trends, tools and best practices. Qualifications The following list applies to Azure and/or AWS Platforms. Hands-on in cloud infrastructure as code development, with the ability to lead architecture and technology evaluations and decisions. Willingness to learn cloud security principles, practices and tools. Strong enterprise software development experience preferably with e.g. C# .NET. Expertise in PowerShell, Bash and/or Node JS scripting. Knowledge of API development, REST, microservices and serverless architectures. Knowledge and experience of operational support, software development and deployment methodologies and principles. Strong written, verbal and presentation skills, able to convey information clearly and concisely to technical and non-technical audiences. Attention to detail, diligent and tenacious. Excellent analysis and dissemination skills. High degree of personal motivation and ability to self-manage. Maintains and develops relevant industry and technology knowledge. Preferred Qualifications Web application development. Experience/expertise in authentication and authorisation protocols such as OpenID Connect. Experience/expertise in DNS, TLS and network architectures. Experience in web application security principles and practices, or penetration testing. Certifications in Azure and/or AWS. Hands-on experience working within an Information Security accredited framework e.g. ISO27001, 27017/18. Experience working in Agile software development such as Scaled Agile Framework (SAFe).

As a manager in the OCI AI/GPU Compute Host Management Group, you will apply your management skills, along with you your knowledge of hardware, Linux, software architecture, and distributed systems, to own, operate, maintain, enhance, and optimize AI/GPU Host Management of Oracle OCI. In addition to addressing issues with the HMG suite of OCI Services, your team will patch and upgrade these services and will identify opportunities for additional automation, optimizations, and enhancements to both the OCI infrastructure and services. Your team will manage service queues and triage/diagnose AI compute hardware and software. You will also drive and improve processes within the team. You will help to ensure that appropriate operational planning is effectively executed to meet Corporate and Governmental regulations and Compliance Standards. As a Manager you will lead a team of Operators and Developers. You will possess demonstrated leadership and people management skills, strong communication skills, analytical skills, and understanding of large distributed systems. You should be a distributed systems generalist, able to understand broad systems interactions, while also being hands-on, able to dive deep into any part of the stack and lower-level system interactions as needed to support your team. You should value simplicity and scale, work comfortably in a collaborative, agile environment, and be excited to learn. You will be responsible for providing direction and ownership for the team that you will establish and develop. You will also work with geographically distributed teams and contribute to the success of the overall organization. Qualifications BS or MS degree or equivalent experience relevant to functional area 5 years of software engineering, operations or related experience 5 years experience with people management and/or technical leadership Experience building a team including recruiting, hiring, and performance management Organizational and planning skills including scheduling Working familiarity with scripting languages such as Python and BASH Knowledge of distributed systems fundamentals Working familiarity with networking protocols (TCP/IP, HTTP) and standard network architectures Career Level - M3

About The Role 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 : NA Minimum 5 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 optimal performance and accuracy in language processing tasks. You will collaborate with various teams to refine model architectures and enhance their capabilities, contributing to innovative solutions in the field of natural language processing.We are seeking a highly skilled and experienced Gen AI Architect / Senior AI Architect to lead the design and implementation of agentic AI systems. The ideal candidate will have a strong background in AI/ML technologies, particularly with Vertex AI, Agent Force & LLMs, and will be responsible for architecting and integrating cutting-edge AI solutions to drive innovation and operational efficiency Roles & Responsibilities:- Lead the design and implementation of agentic AI architecture.- Integrate Vertex AI and Agent Force to enhance AI capabilities.- Develop and manage intelligent workflows using LangChain.- Apply prompt engineering techniques to optimize AI model performance.- Utilize LLM APIs for advanced model interactions and orchestration.- Oversee seamless orchestration of AI components and services.- Collaborate with cross-functional teams to align AI initiatives with business goals.- Ensure adherence to AI ethics, governance, and best practices.- Mentor junior AI engineers and contribute to team development.- Participate in code reviews and continuous improvement initiatives. Professional & Technical Skills: - Expertise in Vertex AI for model development, deployment, and monitoring.- Proficiency in AgentForce for agent-based system design and management.- Strong experience with LangChain for language model workflows.- Strong understanding of neural network architectures and their applications.- Familiarity with data preprocessing and augmentation methods.- Ability to analyze and interpret large datasets to inform model design.- Advanced knowledge of prompt engineering and LLM optimization.- Hands-on experience with LLM APIs (e.g., OpenAI, Anthropic, Cohere).- Strong orchestration and integration skills across AI components.- Experience with natural language processing techniques and tools.- Proficiency in Python and related AI/ML libraries.- Excellent problem-solving, analytical, and communication skills.- Proven leadership in AI architecture and team collaboration Additional Information:- The candidate should have minimum 7.5 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

About The Role 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 : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Large Language Model Architect, you will engage in the innovative process of 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 enhance the model's performance and accuracy. You will collaborate with cross-functional teams to ensure that the models meet the desired specifications and contribute to the advancement of natural language processing technologies. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Collaborate with data scientists and engineers to refine model architecture and improve performance.- Conduct experiments to evaluate model effectiveness and iterate based on findings. 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 3 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

About The Role 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 : NA Minimum 5 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.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior professionals to enhance their skills and knowledge in large language model architecture. 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 language models on diverse datasets.- Familiarity with programming languages such as Python and frameworks like TensorFlow or PyTorch.- Ability to analyze and interpret model performance metrics to drive improvements. Additional Information:- The candidate should have minimum 5 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

About The Role 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 : NA Minimum 5 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, ultimately contributing to advancements in natural language processing technology. 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.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge.- Continuously evaluate and improve model performance through iterative testing and feedback. 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 5 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

About The Role 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 : NA Minimum 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 results. 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

Educational Requirements Bachelor of Engineering Service Line AI & Automation Service Line Responsibilities Technical skills Programming: Python, R, SQL ML algorithms: Statistical ML algorithms Deep Neural Network architectures Model ensembling Generative AI models ML for Responsible AI AI domains - NLP, speech, computer vision, structured data Learning patterns supervised, unsupervised, reinforcement learning Tools for data analysis, auto ML, model deployment & scaling, model fine tuning Knowledge of different Model fine tuning approaches for Large models Knowledge of datasets, pre-built models available in open community and 3rd party providers Knowledge of software development & architectures Knowledge of hyperscalers & their AI capabilities Azure, AWS, GCP Knowledge of Model Quantization and Pruning Past experience playing a Data Scientist role Technical and Professional Requirements: Technical skills Programming: Python, R, SQL ML algorithms: Statistical ML algorithms Deep Neural Network architectures Model ensembling Generative AI models ML for Responsible AI AI domains - NLP, speech, computer vision, structured data Learning patterns supervised, unsupervised, reinforcement learning Tools for data analysis, auto ML, model deployment & scaling, model fine tuning Knowledge of different Model fine tuning approaches for Large models Knowledge of datasets, pre-built models available in open community and 3rd party providers Knowledge of software development & architectures Knowledge of hyperscalers & their AI capabilities Azure, AWS, GCP Knowledge of Model Quantization and Pruning Past experience playing a Data Scientist role Preferred Skills: Technology->Machine learning->data science Technology->Machine Learning->Python Technology->Machine Learning->Generative AI

Educational Requirements Bachelor of Engineering Service Line AI & Automation Service Line Responsibilities Technical skills Programming: Python, R, SQL ML algorithms: Statistical ML algorithms Deep Neural Network architectures Model ensembling Generative AI models ML for Responsible AI AI domains - NLP, speech, computer vision, structured data Learning patterns supervised, unsupervised, reinforcement learning Tools for data analysis, auto ML, model deployment & scaling, model fine tuning Knowledge of different Model fine tuning approaches for Large models Knowledge of datasets, pre-built models available in open community and 3rd party providers Knowledge of software development & architectures Knowledge of hyperscalers & their AI capabilities Azure, AWS, GCP Knowledge of Model Quantization and Pruning Past experience playing a Data Scientist role Technical and Professional Requirements: Technical skills Programming: Python, R, SQL ML algorithms: Statistical ML algorithms Deep Neural Network architectures Model ensembling Generative AI models ML for Responsible AI AI domains - NLP, speech, computer vision, structured data Learning patterns supervised, unsupervised, reinforcement learning Tools for data analysis, auto ML, model deployment & scaling, model fine tuning Knowledge of different Model fine tuning approaches for Large models Knowledge of datasets, pre-built models available in open community and 3rd party providers Knowledge of software development & architectures Knowledge of hyperscalers & their AI capabilities Azure, AWS, GCP Knowledge of Model Quantization and Pruning Past experience playing a Data Scientist role Preferred Skills: Technology->Machine learning->data science Technology->Machine Learning->Python Technology->Machine Learning->Generative AI

Optum is a global organization dedicated to delivering care and improving the health outcomes of millions of individuals through the use of technology. As a member of our team, you will play a crucial role in connecting people with the necessary care, pharmacy benefits, data, and resources to enhance their well-being. Our culture is built on diversity, inclusion, and collaboration, providing you with the opportunity to work alongside talented colleagues, access comprehensive benefits, and grow your career. Join us in our mission to promote health equity on a global scale by making a positive impact on the communities we serve. Start your journey with us by Caring, Connecting, and Growing together. As the Data Center Integration and Optimization Integration Lead, you will lead the server and application migrations as part of our data center integration and optimization program. Your responsibilities will include: Planning: Develop a detailed migration plan outlining the scope, timeline, resources, and potential risks. Coordinate with stakeholders to identify applications and servers for migration to minimize downtime. Create a testing strategy to ensure the functionality of migrated applications in the new environment. Execution: Oversee the migration process, ensuring adherence to the plan. Coordinate with the technical team to configure the new environment accurately, transfer data securely, and optimize server setups. Troubleshooting: Address any issues swiftly during the migration, such as data transfer errors, application performance issues, or server configuration problems. Interfacing with Various Teams: Act as the primary contact for migration-related matters, collaborating with IT, network, security, and operations teams. Ensure alignment, resolve conflicts, and provide updates on migration progress. Customer Centricity: Demonstrate a customer-centric approach, maintaining communication and staying informed about industry trends to make informed recommendations. Required Qualifications: - Graduate degree in relevant field or equivalent experience. - 15 years of IT experience with strong communication skills. - 8 years of experience in application modernization, cloud migrations, and VMWare migrations. - Experience leading technical teams and coordinating across departments. - Proficiency in cloud migrations, connectivity, networking, and multi-tenancy with large enterprises. Preferred Qualifications: - Hands-on experience with network architectures and cloud environments. - Proficiency in data center technologies and network security in cloud environments. - Expertise in cloud networking technologies and troubleshooting network-related issues. - Strong problem-solving skills, communication abilities, and capability to work collaboratively. - Ability to design and manage core services, support automation, and ensure compliance with security policies. - Skills in negotiating technical strategies with stakeholders and providing consulting support. If you meet the above qualifications and are ready to contribute to our mission, we invite you to apply for the Data Center Integration and Optimization Integration Lead position. This role is based in Noida, Uttar Pradesh, IN.,

As a Domain Architect, you will play a key role in project delivery by designing Subscriber Data Management (SDM) solutions, including Home Subscriber Server (HSS), Home Location Register (HLR), Subscriber Data Layer (SDL), Equipment Identity Register (EIR), and Unified Data Management (UDM). You will work closely with customers to understand and address their needs, ensuring solutions are delivered effectively. In this role, you will also collaborate with Software Architects, the New Product Introduction (NPI) team, and the Research and Development (R&D) team to translate requirements into seamless implementations. Join us to shape impactful solutions and contribute to pioneering projects that drive innovation forward. You have: 10+ years of experience in telecom solution design, complex use case integration, and a degree in Engineering/Technology or equivalent. Experience in creating and reviewing high-level and low-level design documents. Hands-on experience in troubleshooting and integration of Ausf_UDM, Subscriber Data Layer (SDL), Home Subscriber Server/Home Location Register (HSS/HLR), and Equipment Identity Register (EIR). It would be nice if you also had: Deep knowledge of network architectures, telecom products, and global standards such as 3GPP and ETSI. Proven ability to lead complex technical programs and manage customer escalations effectively. Familiarity with Unix/Linux, OpenStack, Kubernetes, and databases such as Aerospike, MariaDB, Oracle, or SQL. Understanding of key telecom protocols (TCP/IP, Diameter, HTTP2, SIP, Sigtran, SOAP-XML, SNMP) and cloud technologies (VNF, CNF, VMware, NCS/NCOM, CBIS/CBAM). Analyze requirements and define product implementation. Work closely with customers to define use cases aligned with Statement of Work (SoW) and 3GPP standards. Design high-level (architecture, call flows) and low-level (IP, network) solutions with impact and risk assessment. Prepare Carrier Information Questionnaire (CIQ) to support planning, integration, and deployment. Develop customer solution architectures and perform end-to-end technical risk evaluations. Define test strategies, coordinate with Research and Development (R&D), and support acceptance activities. Provide automation inputs, conduct risk mitigation, and engage with customers through regular sync-ups.

About The Role 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 2 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Large Language Model Architect, you will engage in the innovative process of 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 enhance the model's performance and accuracy. You will collaborate with cross-functional teams to ensure that the models meet the required specifications and contribute to the advancement of natural language processing technologies. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Collaborate with data scientists and engineers to refine model architecture and improve performance.- Conduct experiments to evaluate model effectiveness and iterate based on findings. 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 programming languages such as Python or Java.- Knowledge of data preprocessing and augmentation methods. Additional Information:- The candidate should have minimum 2 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

About The Role 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 5 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 optimal performance and accuracy in language processing tasks. You will collaborate with various teams to refine model architectures and enhance their capabilities, contributing to innovative solutions in the field of 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.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior professionals in best practices and model development.- 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 5 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

About The Role 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 3 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 cross-functional teams to refine model performance and contribute to innovative solutions in natural language processing. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Engage in continuous learning to stay updated with the latest advancements in language model architecture.- Collaborate with data scientists and engineers to optimize model performance and deployment. 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 language models.- Familiarity with data preprocessing techniques for text data.- Ability to analyze model performance metrics and implement improvements. Additional Information:- The candidate should have minimum 3 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: Build, configure, and maintain Cisco ACI Fabric networks in co-location DC facilities. Collaborate with Compute & Storage teams to integrate devices into ACI Fabric. Plan and execute application migration workloads from legacy L3 architecture to ACI Fabric. Support ongoing maintenance, troubleshooting, and solution delivery of ACI Fabric networks. Implement WAN technologies to connect ACI Fabric with internal and external networks. Configure and maintain Cisco FTD firewalls, routing, and DMZ access. Manage A10 Load Balancers for applications. Provide proactive progress updates and timely execution of tasks. Preferred Candidate Profile: Proven experience in managing large and complex Cisco ACI deployments. Hands-on knowledge of APIC, NXOS, IOS, NDFC, and Cisco Nexus switches. Experience with VXLAN, BGP, OSPF, L2/L3 fabrics, and Data Center network segmentation. Knowledge of hypervisor network components (VMware, Nutanix, OpenStack) and their interaction with physical DC infrastructure. FTD firewall configuration, Load Balancer setup (A10, Citrix) experience. Experience with MACSEC-enabled network interconnects, RoCEv2 QoS monitoring, and troubleshooting. Strong understanding of storage (NAS/SAN) and compute (ESXi/UCS) integration with ACI.

As a Domain Architect, youll be at the forefront of project delivery, designing advanced NPC (Network Planning and Configuration) solutions and engaging directly with customers to ensure their needs are met. Youll partner with fellow Software Architects, as well as our NPI (New Product Introduction) and R&D teams, to implement requirements seamlessly. Join us and make a significant impact on our innovative projects. You have: 8+ years of experience in telco solution design and complex use case integration with BE/B.Tech./Graduation or equivalent degree. Expertise in high/low-level design documents. Practical experience in troubleshooting & integration, preferably in Charging, IMS, PCRF, and PCF domain. Advanced understanding of network architectures/products & international standards (3GPP/ETSI). It would be nice if you also had: Knowledge of Unix/Linux OS, OpenStack, Kubernetes & databases (Aerospike/MariaDB/Oracle/SQL). Familiarity with TCP/IP & key protocols like Diameter (Gx-Rx-Sy), HTTP2, SIP, Sigtran, SOAP-XML, SNMP. Cloud exposure (VNF, CNF) and related platforms (CBIS/CBAM, NCS/NCOM, VMware/OpenStack). Troubleshooting skills with an end-to-end understanding of call flow, including PACO, subscriber database, and IMS. Requirement analysis and product-level implementation definition. Use case detailed definition in discussion with the customer and market (according to SoW & 3GPP). Product impact determination & risk assessment with high-level design ( architecture & call flows) and low-level design ( IP & NW design). Preparation of CIQ-Carrier Information Questionnaire for network planning, integration, and deployment. Policy rules design, development & validation. Lead technical review of relevant docs ( HLD/LLD/SVS/RSV-test strategy/ATP/MOP). Test strategy preparation ( SVS ) and support to test execution & acceptance. R&D interface and to manage test & acceptance coordination. Scripting and automation inputs to help project teams. Technical risk analysis & mitigation and customer-facing with regular sync-ups.

Are you interested in building large-scale distributed infrastructure for the cloud Oracle's Cloud Infrastructure team is building new Infrastructure-as-a-Service technologies that operate at high scale in a broadly distributed multi-tenant cloud environment. Our customers run their businesses on our cloud, and our mission is to provide them with outstanding compute, storage, networking, database, security, and an ever growing set of foundational cloud-based services. https://www.oracle.com/in/cloud/storage/ We're looking for hands-on engineers with expertise and passion in solving difficult problems in distributed systems, virtualized infrastructure, and highly available services. If this is you, at Oracle you can craft and build innovative new systems from the ground up. These are exciting times in our space - we are growing fast, still at an early stage, and working on ambitious new initiatives. An engineer at any level can have significant technical and business impact. As a Principal Member of Technical Staff you will own the software design and development for major components of Oracle's Cloud Infrastructure. You should be both a rock solid coder and a distributed systems generalist, able to dive deep into any part of the stack and low level systems, as well as design broad distributed system interactions. You should value simplicity and scale, work comfortably in a collaborative, agile environment, and be excited to learn. Minimum Qualifications: 8+ years experience delivering and operating large scale, highly available distributed systems. Solid understanding of C, C++ or Java, and experience with scripting languages such as Python, Perl, etc. Solid understanding of data structures, algorithms, operating systems, and distributed systems fundamentals. Working familiarity with networking protocols (TCP/IP, HTTP) and standard network architectures. Strong understanding of databases, NoSQL systems, storage and distributed persistence technologies. Strong solving and performance tuning skills. Experience working in storage domain is a strong plus. As a member of the software engineering division, you will take an active role in the definition and evolution of standard practices and procedures. You will be responsible for defining and developing software for tasks associated with the developing, designing and debugging of software applications or operating systems. Work is non-routine and very sophisticated, involving the application of advanced technical/business skills in area of specialization. Leading contributor individually and as a team member, providing direction and mentoring to others. BS or MS degree or equivalent experience relevant to functional area. 8 years of software engineering or related experience. Career Level - IC4

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, ultimately contributing to advancements in natural language processing technology. 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.- Mentor junior professionals to enhance their skills and knowledge in language model architecture. 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 language models.- Familiarity with data preprocessing techniques for text data.- Knowledge of evaluation metrics for language models and their performance assessment. Additional Information:- The candidate should have minimum 12 years of experience in Large Language Models.- This position is based at our Chennai office.- A 15 years full time education is required. Qualification 15 years full time education

Your Role Manage centralized network configurations using Panorama and Juniper Mist. End-to-end deployment, management, and optimization of wireless networks using Juniper Mists AI-driven platform. Ensure high performance, security, and reliability across wireless infrastructure. Lead design and implementation of SilverPeak SD-WAN across 100 branch locations. Develop detailed network designs, configurations, and migration plans. Your Profile Configure, deploy, and troubleshoot Juniper switches and routers. Troubleshoot and resolve network issues related to BGP, OSPF, and other routing protocols. Collaborate with cross-functional teams to integrate Mist solutions into broader network environments. Align SD-WAN solutions with client business objectives and technical requirements. What will you love working at Capgemini Work on next-gen network architectures including SD-WAN, Zero Trust, SASE, and cloud-native networking. Collaborate with global clients across industries, implementing enterprise-grade solutions using tools like Cisco, Juniper, Fortinet, Palo Alto, and AWS/Azure networking. Clear career progression paths from L2 support to architecture and consulting roles Be part of mission-critical projects that secure and optimize networks for Fortune 500 clients. Thrive in a diverse, inclusive, and respectful environment that values your voice and ideas as well work in agile, cross-functional teams with opportunities to lead and mentor. Location - Bengaluru,Hyderabad,Mumbai,Noida,Pune

We are looking for excited and motivated individuals who possess a thorough understanding of IoT concepts and stay updated with the rapidly evolving technology landscape. As a candidate, you should have strong programming skills, particularly in IoT, and be adept at working across various software development platforms. The position is based in Navi Mumbai, India, and offers full-time employment. Responsibilities: - Building prototypes, products, and systems suitable for testing, and conducting lab simulations. - Developing and maintaining high-quality software. - Keeping abreast of the latest advancements in IoT technologies. - Sharing expertise within the organization and potentially providing user training for products. - Assessing engineering approaches and risks to create development plans that ensure the delivery of high-quality, cost-effective products and systems. - Potentially authoring technical reports, papers, articles, patents, and presentations. Desired Skills and Experience: - Proficient programming skills. - Minimum of 3 years of experience. - Preference for experience with Python, Ruby, and Node.js; however, we welcome applications from code-agnostic programmers who excel at problem-solving using any language and framework. - Sound understanding of embedded systems and networking. - Experience in architecting infrastructure solutions using Linux/Unix and Windows, with specific recommendations on server, load balancing, HA/DR, network, and storage architectures. - Proficiency in designing systems to interact with remote data via third-party APIs and JSON. - Ability to read hardware schematics. - Capability to develop code that optimizes for low power consumption. - Proficiency in probing and measuring hardware to debug issues. - Ability to manage and lead a team of Junior Developers. - Knowledge of utilizing big data analytics frameworks such as Hadoop or SPARK to develop business intelligence applications. Important: Applicants must be available for a personal interview at our office in Navi Mumbai. Candidates unable to attend the personal interview need not apply, as no telephone rounds will be conducted.,

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 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 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 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 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.- Mentor junior professionals in the team to enhance their skills and knowledge.- 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 for text data.- 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