311 Deployment Process Jobs - Page 8

Project Role : Technology Platform Engineer Project Role Description : Creates production and non-production cloud environments using the proper software tools such as a platform for a project or product. Deploys the automation pipeline and automates environment creation and configuration. Must have skills : Salesforce Experience Cloud Good to have skills : Salesforce DataMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Cloud Platform Engineer - Platform Administrator, you will work on large scale projects on Salesforce, collaborate with various teams to ensure seamless integration and functionality across platforms, contributing to the overall success of the projects you are involved in. 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.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor and evaluate the performance of cloud environments to ensure optimal operation. Professional & Technical Skills: - Must To Have Skills: Should have experience working on large scale projects. Proficiency in Salesforce Experience Cloud and good understanding of Salesforce Data Cloud.- Good To Have Skills: Experience with Salesforce Data Cloud or Service Cloud.- Strong understanding of cloud infrastructure and deployment strategies.- Experience with automation tools and scripting languages.- Familiarity with continuous integration and continuous deployment practices Additional Information:- The candidate should have minimum 5 years of experience in Salesforce Experience Cloud.- This position is based in Hyderabad.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Technology Platform Engineer Project Role Description : Creates production and non-production cloud environments using the proper software tools such as a platform for a project or product. Deploys the automation pipeline and automates environment creation and configuration. Must have skills : Salesforce Sales Cloud Good to have skills : Salesforce DataMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Cloud Platform Engineer - Platform Administrator, you will work on large scale projects on Salesforce, collaborate with various teams to ensure seamless integration and functionality across platforms, contributing to the overall success of the projects you are involved in. 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.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor and evaluate the performance of cloud environments to ensure optimal operation. Professional & Technical Skills: - Must To Have Skills: Should have experience working on large scale projects. Proficiency in Salesforce Sales Cloud with Agenticforce experience and good understanding of Salesforce Data Cloud.- Good To Have Skills: Experience with Salesforce Data Cloud or Service Cloud.- Strong understanding of cloud infrastructure and deployment strategies.- Experience with automation tools and scripting languages.- Familiarity with continuous integration and continuous deployment practices Additional Information:- The candidate should have minimum 5 years of experience in Salesforce Experience Cloud.- This position is based in Hyderabad.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Tech Delivery Subject Matter Expert Project Role Description : Drive innovative practices into delivery, bring depth of expertise to a delivery engagement. Sought out as experts, enhance Accentures marketplace reputation. Bring emerging ideas to life by shaping Accenture and client strategy. Use deep technical expertise, business acumen and fluid communication skills, work directly with a client in a trusted advisor relationship to gather requirements to analyze, design and/or implement technology best practice business changes. Must have skills : 5G Wireless Networks & Technologies Good to have skills : Software Defined Network and OperationsMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time educationJob Title RAN Hardware EngineerLocation BengaluruCareer Level - 8 Summary :We are seeking an experienced Subject Matter Expert (SME) in RAN Hardware Planning and Design to lead and provide expert-level guidance on hardware solutions, specifically for antennas, combiners, baseband systems, and small cell technologies. The SME will oversee the technical aspects of hardware development, including the prototyping, validation, and integration of hardware solutions to meet performance, regulatory, and environmental standards. As an industry leader, the SME will drive innovation, ensure compliance with regulatory standards like EMF/ICNIRP, and mentor senior engineers while supporting new product development.Roles and Responsibilities:Work closely with the national design and build teams to ensure adherence to best practices for RAN hardware solutions, including antennas, combiners, baseband systems, and small cell technologies.Conduct in-house evaluation of antenna and radio products, including FSI and FOA trials.Collaborate with vendors and internal teams to introduce and assess new antenna products and technologies.Develop and maintain the approved RF Component and Antenna catalogues, which serve as the primary reference for installed equipment and guidelines on implementation.Develop and manage nationally recognized RF conditioning and filtration standards and guidelines.Lead the identification process for new antenna and RF conditioning products, ensuring clear acceptance criteria are provided for new technology integration.Be the main point of contact for the Antenna Interface and Standards Group, facilitating collaboration and ensuring national alignment with industry standards.Provide expert advice on automation solutions and RF standards integration.Oversee PIM (Passive Intermodulation) mitigation strategies and management, ensuring the application of industry best practices to maintain build reliability.Lead the identification and evaluation of new antenna and RF conditioning products, setting clear acceptance criteria, and overseeing their integration into projects.Collaborate closely with software, firmware, and systems teams, ensuring seamless integration of hardware solutions into larger systems and contributing to product roadmaps.Drive RFP processes in collaboration with the global team, ensuring that RF hardware solutions align with project specifications and customer needs.Oversee the creation and maintenance of technical documentation, including national-level approved documentation for antenna configurations, isolation guidelines, and spacing requirements.Design and author of all national Site configuration diagramsEnsure all designs comply with EMF/ICNIRP regulations and the highest industry quality standards. Technical Experience and Professional Attributes:Experience in Nokia, Ericsson, and ORAN.Experience in RAN hardware planning and design.Strong understanding of site deployment processes and best practices.Expertise in interference management and PIM mitigation strategies.In-depth knowledge of radio planning and RF optimization.Strong experience in EMF compliance and regulatory adherence.Proven leadership experience with the ability to manage and mentor teams.Excellent communication, negotiation, and collaboration skills.12+ years of experience in the RAN domain. Educational Qualifications:15 Years of Education, Bachelors or masters degree in Telecommunications, or related field. Additional InformationTeam Player Qualification 15 years full time education

Project Role : Technology Platform Engineer Project Role Description : Creates production and non-production cloud environments using the proper software tools such as a platform for a project or product. Deploys the automation pipeline and automates environment creation and configuration. Must have skills : SAP ABAP Development for HANA Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Technology Platform Engineer, you will be responsible for creating both production and non-production cloud environments utilizing appropriate software tools tailored for specific projects or products. Your typical day will involve deploying automation pipelines and automating the processes of environment creation and configuration, ensuring that all systems are optimized for performance and reliability. You will collaborate with various teams to ensure seamless integration and functionality across platforms, contributing to the overall success of the projects you are involved in. 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.- Assist in the development and implementation of best practices for cloud environment management.- Collaborate with cross-functional teams to ensure alignment on project goals and deliverables. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP ABAP Development.- Strong understanding of cloud infrastructure and deployment strategies.- Experience with automation tools and scripting languages.- Familiarity with version control systems and CI/CD pipelines.- Ability to troubleshoot and resolve technical issues efficiently. Additional Information:- The candidate should have minimum 3 years of experience in SAP ABAP Development.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Tech Delivery Subject Matter Expert Project Role Description : Drive innovative practices into delivery, bring depth of expertise to a delivery engagement. Sought out as experts, enhance Accentures marketplace reputation. Bring emerging ideas to life by shaping Accenture and client strategy. Use deep technical expertise, business acumen and fluid communication skills, work directly with a client in a trusted advisor relationship to gather requirements to analyze, design and/or implement technology best practice business changes. Must have skills : 5G Wireless Networks & Technologies Good to have skills : Software Defined Network and OperationsMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time educationJob Title RAN Hardware EngineerLocation BengaluruCareer Level 9 Summary :We are seeking an experienced Subject Matter Expert (SME) in RAN Hardware Planning and Design to lead and provide expert-level guidance on hardware solutions, specifically for antennas, combiners, baseband systems, and small cell technologies. The SME will oversee the technical aspects of hardware development, including the prototyping, validation, and integration of hardware solutions to meet performance, regulatory, and environmental standards. As an industry leader, the SME will drive innovation, ensure compliance with regulatory standards like EMF/ICNIRP, and mentor senior engineers while supporting new product development.Roles and Responsibilities:Lead hardware design efforts for RAN solutions, focusing on antennas, combiners, baseband systems, and small cell technologies, ensuring they meet performance, regulatory, and environmental requirements.Conduct in-house evaluation of antenna and radio products, including FSI and FOA trials.Prototype and validate hardware designs, ensuring compliance with industry standards and specifications, while working to optimize performance.Collaborate with cross-functional teams, including software, firmware, and systems teams, to ensure seamless integration of hardware solutions into larger systems.Oversee the hardware integration during site builds, ensuring correct installation, configuration, and performance of RAN hardware.Develop and maintain technical specifications, reports, and documentation, supporting hardware designs and system configurations.Collaborate directly with stakeholders, including customers and vendors, to ensure solutions meet project specifications and customer requirements.Contribute to the identification and evaluation of new antenna and RF conditioning products, ensuring clear acceptance criteria are provided for new technology integration.Help with RFPs by providing technical expertise to specify hardware solutions that align with RF strategy and project goals.Ensure all designs meet EMF/ICNIRP compliance and align with regulatory standards.Design and author of all national Site configuration diagramsTechnical experience and Professional attributes:Experience in Nokia, Ericsson, and ORAN.Experience in RAN hardware planning and design.Strong understanding of site deployment processes and best practices.Expertise in interference management and PIM mitigation strategies.In-depth knowledge of radio planning and RF optimization.Strong experience in EMF compliance and regulatory adherence.Proven leadership experience with the ability to manage and mentor teams.Excellent communication, negotiation, and collaboration skills.Bachelors or masters degree in Telecommunications, or related field.8+ years of experience in the RAN domain. Educational Qualification15 Years Education, BE / BTech Additional InformationTeam Player Qualification 15 years full time education

Project Role : Technology Platform Engineer Project Role Description : Creates production and non-production cloud environments using the proper software tools such as a platform for a project or product. Deploys the automation pipeline and automates environment creation and configuration. Must have skills : SAP ABAP Development for HANA Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Technology Platform Engineer, you will be responsible for creating both production and non-production cloud environments utilizing appropriate software tools tailored for specific projects or products. Your typical day will involve deploying automation pipelines and automating the processes of environment creation and configuration, ensuring that all systems are optimized for performance and reliability. You will collaborate with various teams to ensure seamless integration and functionality across platforms, contributing to the overall success of the projects you are involved in. 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.- Assist in the development and implementation of best practices for cloud environment management.- Collaborate with cross-functional teams to ensure alignment on project goals and deliverables. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP ABAP Development.- Strong understanding of cloud infrastructure and deployment strategies.- Experience with automation tools and scripting languages.- Familiarity with version control systems and CI/CD pipelines.- Ability to troubleshoot and resolve technical issues efficiently. Additional Information:- The candidate should have minimum 3 years of experience in SAP ABAP Development.- This position is based at our Pune office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Technology Platform Engineer Project Role Description : Creates production and non-production cloud environments using the proper software tools such as a platform for a project or product. Deploys the automation pipeline and automates environment creation and configuration. Must have skills : IBM App Connect Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Technology Platform Engineer, you will be responsible for creating both production and non-production cloud environments utilizing appropriate software tools tailored for specific projects or products. Your typical day will involve deploying automation pipelines and automating the processes of environment creation and configuration, ensuring efficiency and reliability in the cloud infrastructure. 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.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor and evaluate team performance to ensure alignment with project goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in IBM App Connect.- Strong understanding of cloud infrastructure and deployment strategies.- Experience with automation tools and scripting languages.- Familiarity with continuous integration and continuous deployment practices.- Ability to troubleshoot and resolve technical issues in cloud environments. Additional Information:- The candidate should have minimum 5 years of experience in IBM App Connect.- This position is based in Pune.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Cloud Platform Engineer Project Role Description : Designs, builds, tests, and deploys cloud application solutions that integrate cloud and non-cloud infrastructure. Can deploy infrastructure and platform environments, creates a proof of architecture to test architecture viability, security and performance. Must have skills : SAP Analytics Cloud Development Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Cloud Platform Engineer, you will be responsible for designing, building, testing, and deploying cloud application solutions that seamlessly integrate both cloud and non-cloud infrastructure. Your typical day will involve collaborating with various teams to ensure the architecture's viability, security, and performance while creating proof of concepts to validate your designs. You will engage in hands-on development and troubleshooting, ensuring that the deployed solutions meet the required standards and specifications. Additionally, you will be involved in continuous improvement initiatives to enhance the efficiency and effectiveness of cloud solutions. 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.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor and evaluate the performance of deployed solutions to ensure optimal functionality. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP Analytics Cloud Development.- Strong understanding of cloud infrastructure and deployment strategies.- Experience with application integration techniques and tools.- Familiarity with security best practices in cloud environments.- Ability to troubleshoot and resolve complex technical issues. Additional Information:- The candidate should have minimum 5 years of experience in SAP Analytics Cloud Development.- This position is based at our Mumbai office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, and may also explore deep learning, neural networks, chatbots, and image processing technologies. Collaboration with cross-functional teams will be essential to integrate these solutions effectively into existing systems and workflows. 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.- Facilitate knowledge sharing and training sessions to enhance team capabilities.- Monitor project progress and ensure alignment with strategic goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of cloud-based AI services and deployment strategies.- Experience with deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing techniques and tools.- Ability to design and implement scalable AI solutions. Additional Information:- The candidate should have minimum 7.5 years of experience in Large Language Models.- This position is based at our Noida office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Technology Platform Engineer Project Role Description : Creates production and non-production cloud environments using the proper software tools such as a platform for a project or product. Deploys the automation pipeline and automates environment creation and configuration. Must have skills : Salesforce Field Service Lightning Good to have skills : Salesforce DataMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Cloud Platform Engineer - Platform Administrator, you will work on large scale projects on Salesforce, collaborate with various teams to ensure seamless integration and functionality across platforms, contributing to the overall success of the projects you are involved in. 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.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor and evaluate the performance of cloud environments to ensure optimal operation. Professional & Technical Skills: - Must To Have Skills: Should have experience working on large scale projects. Proficiency in Salesforce Service Cloud / Field Services (FSL Cloud)- Good To Have Skills: Experience with Salesforce Data Cloud or Experience Cloud.- Strong understanding of cloud infrastructure and deployment strategies.- Experience with automation tools and scripting languages.- Familiarity with continuous integration and continuous deployment practices Additional Information:- The candidate should have minimum 5 years of experience in Salesforce Experience Cloud.- This position is based in Hyderabad.- A 15 years full time education is required. Qualification 15 years full time education

The Opportunity Are you a self-starter with a strong background in Python, automation, and cloud technologies, who thrives in a collaborative environment? If so, youll find an exciting opportunity on our team, where youll engage in innovative projects, deliver impactful demos, and work closely with diverse experts to drive real-world customer outcome solutions. This team strives to promote continuous learning and growth in a flexible and supportive culture. About the Team The team for this role is part of the Solutions & Performance Engineering organization within R&D at Nutanix, a global organization which operates out of various geographic locations. The team is known for its collaborative culture, where innovation and continuous learning are highly valued. The mission of the Solutions & Performance Engineering team is to engage customers on their technological and business challenges and leverage advanced technologies to develop impactful solutions, and provide efficient, seamless automation processes for clients worldwide. Your Role Key Responsibilities: 1. Automation & Infrastructure Provisioning: Design and implement automation workflows to provision, configure, and manage infrastructure components (e.g., compute resources, databases, networking). Integrate with APIs, cloud services, and orchestration tools to create scalable and reproducible deployments. Ensure automation solutions are modular, reusable, and adaptable to various environments. 2. Performance Benchmarking & Data Collection: Develop benchmarking frameworks to evaluate the performance of software, databases, or infrastructure components. Collect, process, and store performance metrics in a structured format using databases such as InfluxDB, PostgreSQL, or Prometheus . Build automated workflows to track performance over time and identify anomalies. 3. Data Visualization & Insights Generation: Develop dashboards using React, Grafana, to visualize performance trends. Analyze performance data to detect regressions, optimizations, and improvement opportunities. Provide actionable insights through reports and alerting mechanisms. 4. Back-End Development & API Integration: Build and maintain RESTful APIs using Django/FastAPI to interact with automation systems. Work with SQL databases and ORMs (e.g., Django ORM, SQLAlchemy) for efficient data management. Implement task queues (e.g., Celery, Redis) for distributed and scheduled workloads. 5. Infrastructure & Monitoring: Implement CI/CD pipelines for automating testing, deployment, and monitoring. Use observability tools (e.g., Prometheus, Loki, ELK stack) to monitor system health. Working experience of Linux and scripting (Bash/Python) What You Will Bring Required Skills & Experience: Automation & Orchestration: Experience with API-driven infrastructure provisioning (cloud, on-prem, or hybrid environments) Performance Benchmarking: Knowledge of benchmarking methodologies, performance analysis, and metric collection . Back-End Development: Proficiency in Python (Django/FastAPI) and strong grasp of data structures & algorithms . Front-End Development: Experience with React and JavaScript to build interactive dashboards. Database Management: Strong experience with SQL, ORM frameworks, and time-series databases (InfluxDB, PostgreSQL, Prometheus, etc.) . Task Queues & Automation: Hands-on experience with Celery, Redis, or similar frameworks . Version Control & CI/CD: Proficiency in Git, Docker, Kubernetes, and deployment strategies . Linux & Scripting: Comfortable with Linux environments, shell scripting, and automation tools . Windows & Scripting: Comfortable with Windows environments, powershell scriptingSoft Skills & Qualities: Problem-Solving Mindset Ability to analyze complex systems, troubleshoot issues, and find innovative solutions. Strong Communication Skills Able to explain technical concepts to both technical and non-technical stakeholders. Collaboration & Teamwork Works well in a team environment, contributes ideas, and supports cross-functional teams. Adaptability & Learning Agility Willingness to learn new technologies and adjust to evolving project requirements. Attention to Detail Ability to build reliable automation systems with a focus on precision and efficiency. Ownership & Accountability Takes initiative and responsibility for delivering high-quality solutions. Time Management & Organization Able to prioritize tasks, manage deadlines, and work effectively in a fast-paced environment. Preferred/Bonus Skills: Experience with distributed systems and microservices architecture . Familiarity with observability tools (e.g., Prometheus, Loki, Jaeger, ELK). Prior experience in cloud automation (AWS, Azure, GCP, OpenStack). Experience with workload orchestration tools (e.g., Terraform, Ansible, Kubernetes). Work Arrangement Hybrid: This role operates in a hybrid capacity, blending the benefits of remote work with the advantages of in-person collaboration. For most roles, that will mean coming into an office a minimum of 2 - 3 days per week, however certain roles and/or teams may require more frequent in-office presence. Additional team-specific guidance and norms will be provided by your manager.

Primary Skills Design, develop, and maintain scalable web applications using .NET Core / .NET Framework. Build and deploy cloud-native applications on Microsoft Azure using services like App Services, Azure Functions, and Azure SQL. Develop RESTful APIs and integrate with third-party services and internal systems. Implement secure authentication and authorization using Azure Active Directory and OAuth. Utilize Azure DevOps for CI/CD pipelines, version control, and automated deployments. Optimize application performance and scalability using caching, asynchronous programming, and Azure monitoring tools. Write clean, maintainable, and testable code following SOLID principles and design patterns. Collaborate with cross-functional teams including architects, QA, and business analysts to deliver high-quality solutions. Conduct code reviews and provide mentorship to junior developers. Ensure compliance with security standards, data protection regulations, and best practices Secondary Skills Assist in migrating legacy applications to Azure cloud infrastructure. Monitor and troubleshoot production issues, ensuring high availability and reliability. Participate in sprint planning, daily stand-ups, and retrospectives in an Agile environment. Create and maintain technical documentation for architecture, design, and deployment processes. Stay updated with the latest trends and advancements in .NET and Azure technologies. Support the evaluation and adoption of new tools, frameworks, and methodologies. Collaborate with DevOps and infrastructure teams to improve deployment and monitoring strategies. Contribute to internal knowledge-sharing sessions and technical workshops. Assist in cost optimization efforts by analyzing Azure resource usage and recommending improvements. Provide technical support and guidance during client demos, UAT, and post-deployment phases.

Project Role : Engineering Services Practitioner Project Role Description : Assist with end-to-end engineering services to develop technical engineering solutions to solve problems and achieve business objectives. Solve engineering problems and achieve business objectives using scientific, socio-economic, technical knowledge and practical experience. Work across structural and stress design, qualification, configuration and technical management. Must have skills : 5G Wireless Networks & Technologies Good to have skills : No Function SpecialtyMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time educationJob Title RAN Hardware EngineerLocation BengaluruCareer Level 10Job Overview:We are seeking an experienced Subject Matter Expert (SME) in RAN Hardware Planning and Design to lead and provide expert-level guidance on hardware solutions, specifically for antennas, combiners, baseband systems, and small cell technologies. The SME will oversee the technical aspects of hardware development, including the prototyping, validation, and integration of hardware solutions to meet performance, regulatory, and environmental standards. As an industry leader, the SME will drive innovation, ensure compliance with regulatory standards like EMF/ICNIRP, and mentor senior engineers while supporting new product development.Key Responsibilities:Support hardware design efforts for RAN solutions, focusing on antennas, combiners, baseband systems, and small cell technologies, ensuring they meet performance, regulatory, and environmental requirements. Support in conducting in-house evaluation of antenna and radio products, including FSI and FOA trials. Prototype and validate hardware designs, ensuring compliance with industry standards and specifications, while working to optimize performance. Collaborate with cross-functional teams, including software, firmware, and systems teams, to ensure seamless integration of hardware solutions into larger systems. Oversee the hardware integration during site builds, ensuring correct installation, configuration, and performance of RAN hardware. Develop and maintain technical specifications, reports, and documentation, supporting hardware designs and system configurations. Collaborate directly with stakeholders, including customers and vendors, to ensure solutions meet project specifications and customer requirements. Contributes to the identification and evaluation of new antenna and RF conditioning products, ensuring clear acceptance criteria are provided for new technology integration. Ensure all designs meet EMF/ICNIRP compliance and align with regulatory standards.Required Skills and QualificationsExperience in Nokia, Ericsson, and ORAN. Experience in RAN hardware planning and design. Strong understanding of site deployment processes and best practices. Expertise in interference management and PIM mitigation strategies. In-depth knowledge of radio planning and RF optimization. Strong experience in EMF compliance and regulatory adherence. Proven leadership experience with the ability to manage and mentor teams. Excellent communication, negotiation, and collaboration skills. Educational QualificationBachelors or masters degree in Telecommunications, or related field. 7+ years of experience in the RAN domain.BE / BTech Qualification 15 years full time education

We are seeking a highly skilled and experienced MES Opcenter Designer to join our team. This role requires a deep understanding of the Siemens Opcenter Manufacturing Execution System (MES) along with expertise in Crystal Reports and MIO. The ideal candidate will be responsible for designing, configuring, and optimizing MES systems to enhance manufacturing processes, improve productivity, and ensure seamless integration with other enterprise systems. Key Responsibilities: MES Opcenter Design and Implementation: Design, configure, and deploy Siemens Opcenter (formerly known as Camstar) MES solutions in alignment with business needs and manufacturing processes. Collaborate with manufacturing teams and stakeholders to understand requirements and translate them into effective MES workflows and solutions. Perform system upgrades, troubleshooting, and ensure the overall stability of the MES platform. Crystal Reports Development: Design and develop customized Crystal Reports to provide actionable insights into production and manufacturing data. Collaborate with stakeholders to define key performance indicators (KPIs) and generate reports that support decision-making. Troubleshoot and optimize existing Crystal Reports for performance and accuracy. MIO (Manufacturing Integration and Optimization): Work with MIO solutions to integrate MES with other enterprise systems like ERP, PLCs, SCADA, and databases. Design and implement MIO interfaces for data exchange, ensuring accurate and real-time data flows across systems. Optimize the MIO layer to improve data accuracy, system efficiency, and real-time decision-making Testing and Troubleshooting: Conduct thorough testing of MES applications to ensure proper functionality and performance. Troubleshoot and resolve issues related to data flow, system interfaces, and custom reports. Provide support during go-live and post-implementation phases to ensure seamless operations Documentation and Training: Develop and maintain technical documentation for MES configurations, custom reports, and integration points. Train users and internal teams on MES functionalities, reports, and best practices. Required Skills and Qualifications: Proven experience working with Siemens Opcenter (Camstar) or other MES platforms. Strong knowledge of Crystal Reports design and development. Experience with Manufacturing Integration and Optimization (MIO) solutions and their implementation. Understanding of manufacturing processes, data flow, and system integration. Strong analytical, troubleshooting, and problem-solving skills. Excellent communication and collaboration skills to work with cross-functional teams. Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent work experience). Preferred Skills: Experience with other report-generation tools and data visualization platforms. Knowledge of industry-specific standards and practices for manufacturing systems. Previous experience with ERP systems (SAP, Oracle, etc.) and their integration with MES. Please drop your resumes-rajshri.n@indishtech.com careers.in@indishtech.com

company name=Apptad Technologies Pvt Ltd., industry=Employment Firms/Recruitment Services Firms, experience=5 to 8 , jd=As a Technology OpS Support Practitioner, you will be responsible for ensuring the integrity and governance of systems while adhering to best practices for service delivery. Your typical day will involve collaborating with various teams to develop, deploy, and support infrastructures and applications, ensuring alignment with existing standards and operational methods. You will engage in problem-solving and decision-making processes that impact both your immediate team and the broader organization, fostering a culture of excellence and continuous improvement in technology initiatives. 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.- Facilitate training and knowledge-sharing sessions to enhance team capabilities.- Monitor and evaluate the performance of systems and applications to ensure optimal functionality. Professional & Technical Skills: - Must To Have Skills: Proficiency in ServiceNow App Engine.- Good To Have Skills: Experience with ServiceNow IT Service Management.- Strong understanding of application development and deployment processes.- Experience with system integration and data management.- Familiarity with ITIL frameworks and best practices. Additional Information- The candidate should have minimum 5 years of experience in ServiceNow App Engine.- This position is based at our Bengaluru office.- A 15 years full time education is required., Title=Servicenow APP Engineer, ref=6566336

Project Role : Cloud Migration Engineer Project Role Description : Provides assessment of existing solutions and infrastructure to migrate to the cloud. Plan, deliver, and implement application and data migration with scalable, high-performance solutions using private and public cloud technologies driving next-generation business outcomes. Must have skills : DevOps Good to have skills : Python (Programming Language), Microsoft PowerShell, DevOps ArchitectureMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Cloud Migration Engineer, you will provide a comprehensive assessment of existing solutions and infrastructure to facilitate their migration to the cloud. Your typical day will involve planning, delivering, and implementing application and data migration strategies that leverage both private and public cloud technologies. You will focus on creating scalable and high-performance solutions that drive next-generation business outcomes, ensuring that the migration process aligns with organizational goals and enhances operational efficiency. 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.- Facilitate knowledge sharing and training sessions to enhance team capabilities.- Monitor and evaluate the performance of migrated applications to ensure optimal functionality.- SRE Mindset , Bring software engineering solutions to operational problems, to develop reliable, observable, scalable and secure systems- Automation skills & Knowledge (process enhancement & toil reduction, fix automation, deployment automation)- Scripting and Programming:Skills in languages like Python, Bash or PowerShell- Experience with cloud platforms Azure, or Google Cloud- OpenShift & Kubernetes & Docker / Containerization / Podman- Argo CD /Jenkins / GitHub Actions / GCP Deployment Manager & CI/CD Implementation- Orchestrations Tools, Airflow, Argo workflow, GCP Cloud Composer- Monitoring and Logging:Knowledge with monitoring tools like Prometheus, Grafana, and logging tools like Kibana- Expert proficiency in Linux CLI- Expert proficiency with version control such as:Git, GitHub Professional & Technical Skills: - Must To Have Skills: Proficiency in DevOps, Data Modelling, Data warehousing and Data platforms design- Good To Have Skills: Experience with DevOps Architecture, Python (Programming Language), Microsoft PowerShell, databases and SQL.- Strong understanding of cloud service models and deployment strategies, Data warehousing and Data platforms design- Experience supporting BAT teams and BAT test environments.- Proficient with version control such as:Git, GitHub or GitLab- Experience with automation tools and configuration management.- Familiarity with containerization technologies such as Docker and Kubernetes.- Experience supporting BAT teams and BAT test environments.- Experience with workflow and batch scheduling. Added advantage of Control-M and Informatica experience.- Good know-how on Financial Markets. Know-how on Clearing, Trading and Risk business process will be added advantage- Know-How on Java, Spark & BI reporting will be an added advantage.- Know-how of cloud platform and affinity towards modern technology an added advantage.- Experience in CI/CD pipeline and exposure to DevOps methodologies will be considered as added advantage. Additional Information:- The candidate should have minimum 5 years of experience in DevOps.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : SAP Basis Administration Good to have skills : SAP HANA Technical Architecture, SAP BTP AdministrationMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will engage in the design, construction, and configuration of applications tailored to fulfill specific business processes and application requirements. Your typical day will involve collaborating with cross-functional teams to gather requirements, developing application solutions, and ensuring that the applications are aligned with the overall business strategy. You will also participate in testing and troubleshooting to enhance application performance and user experience, while continuously seeking opportunities for improvement and innovation in application development. 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.- Assist in the documentation of application processes and workflows to ensure clarity and consistency.- Engage in continuous learning and development to stay updated with the latest technologies and best practices in application development. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP Basis Administration.- Good To Have Skills: Experience with SAP BTP Administration, SAP HANA Technical Architecture.- Strong understanding of application lifecycle management and deployment processes.- Experience with performance tuning and optimization of SAP applications.- Familiarity with troubleshooting and resolving application issues in a timely manner. Additional Information:- The candidate should have minimum 3 years of experience in SAP Basis Administration.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Financial Services CloudConfigure and customize Salesforce Financial Services Cloud to meet specific business requirements in the financial services domain. The candidate should have strong knowledge feature & capabilities of Experience cloud. The Candidate should be well versed about the Salesforce OOTB capabilities. Salesforce Lightning DevelopmentDevelop custom Lightning Components (Aura and Lightning Web Components) to enhance user interfaces and improve client interactions. Good knowledge on writing JavaScript code & page optimization capabilities to improve the overall page performance. Good knowledge on the communication & navigation between custom screens & screen pagination. Apex and Meta ProgrammingDevelop and maintain complex Apex code, triggers, Asynchronous apex development keeping governor limits in alignment & should be fully aware about the Salesforce recommended best practices for writing apex. Ability to write test classes to keep the standard of 90% Code coverage maintained throughout the system. Data Management and IntegrationImplement and optimize data integrations with external systems, including ETL processes, APIs, and web services. Custom Workflows & AutomationBuild and maintain custom workflows, flows, and approval processes using OOTB process automation capabilities. Collaboration and SupportWork closely with other developers, administrators, and stakeholders to deliver a seamless experience for end users. Testing and DeploymentDevelop unit tests, perform code reviews, and deploy changes using CI/CD tools & change set deployment. DocumentationMaintain clear documentation for solutions, well versed with TDD & deployment docs like Pre/Post deployment steps documents, Release Notes, Deployment Playbook. Qualifications Experience5-7 years in Salesforce development, with 3+ years in Financial Services Cloud and Lightning. Well versed with feature & capabilities of Experience cloud & strong hold on the development to it. Technical Skills: Proficient in Apex, Mera programming, and JavaScript. Expertise in Lightning Web Components (LWC) and Aura Components. Experience with Salesforce API integrations (REST, SOAP, and other web services) & its capabilities. Awareness about different integration design patterns offered by Salesforce. Strong understanding of Salesforce Security, Data Modelling, and Object-Oriented principles. Strong understanding on the Salesforce record sharing capabilities & features Salesforce offered in it. Strong understanding on the Flows implementation & its capabilities offered by Salesforce. CertificationsSalesforce Certified Platform Developer I/II & Salesforce Certified Financial Services Cloud Consultant preferred. Other Skills: Strong problem-solving skills and the ability to troubleshoot issues. Excellent communication and collaboration skills. Strong knowledge on version control for the developed components. Familiarity with data migration tools like Data Loader, Work Bench. Strong knowledge of Change Set deployment process & using CI/CD tools like Git, Jenkins, and Bitbucket. Nice-to-HaveExperience in the financial services industry.

JD #3 5+ years of experience in AI and machine learning Should have hands-on experience in deploying at least one end to end GenAI project Proven experience with Azure OpenAI LLMs and its application in enterprise environments Strong programming skills in Python and familiarity with AI development tools and libraries. Knowledge of AI model training, fine-tuning, and deployment processes Excellent problem-solving and analytical skills Effective communication and interpersonal skill

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Operations Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Machine Learning Engineer/MLOps Expert, you will engage in the operationalization of Machine Learning Models that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready ML system, ensuring high-quality standards are met. Roles & Responsibilities:- Continuously evaluate and improve existing processes to enhance efficiency.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team skills and capabilities.- Monitor project progress and ensure alignment with strategic goals. Professional & Technical Skills: - ML Pipeline Development:Design, build, and maintain scalable pipelines for model training to support our AI initiatives.- Model Deployment & Serving:Deploy machine learning models as robust, secure services containerize models with Docker and serve them via FastAPI on AWS ensuring low-latency predictions for marketing applications. Manage Batch inference and Realtime inference.- CI/CD Automation:Implement continuous integration and delivery (CI/CD) pipelines for ML projects. Automate testing, model validation, and deployment workflows using tools like GitHub Actions to accelerate delivery.- Model Lifecycle Management:Orchestrate the end-to-end ML lifecycle, including versioning, packaging, and registering models. Maintain a model repository/registry (MLflow or similar) for reproducibility and governance from experimentation through production. Experience on MLFlow and Airflow is mandatory- Monitoring & Optimization:Monitor model performance, data drift, and system health in production. Set up alerts and dashboards and proactively initiate model retraining or tuning to sustain accuracy and efficiency over time.- Must To Have Skills: Proficiency in Machine Learning Operations.- Strong understanding of cloud-based AI services and deployment strategies.- Should have Multi Cloud skills- Experience with Machine learning frameworks- Ability to implement and optimize machine learning models for production environments. Additional Information:- The candidate should have minimum 5 years of experience in Machine Learning Operations.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Amazon Web Services (AWS) Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure project milestones are met, facilitating discussions to address challenges, and guiding your team through the development process while ensuring alignment with organizational goals. You will also engage in strategic planning and decision-making to enhance application performance and user experience, fostering a culture of innovation and continuous improvement within your team. 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 professional growth.- Facilitate regular team meetings to discuss progress, challenges, and solutions. Professional & Technical Skills: - Must To Have Skills: Proficiency in Amazon Web Services (AWS).- Strong understanding of cloud architecture and deployment strategies.- Experience with application development and integration in cloud environments.- Familiarity with DevOps practices and tools for continuous integration and delivery.- Knowledge of security best practices in cloud computing. Additional Information:- The candidate should have minimum 5 years of experience in Amazon Web Services (AWS).- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Operations Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Machine Learning Engineer/MLOps Expert, you will engage in the operationalization of Machine Learning Models that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready ML system, ensuring high-quality standards are met. Roles & Responsibilities:- Continuously evaluate and improve existing processes to enhance efficiency.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team skills and capabilities.- Monitor project progress and ensure alignment with strategic goals. Professional & Technical Skills: - ML Pipeline Development:Design, build, and maintain scalable pipelines for model training to support our AI initiatives.- Model Deployment & Serving:Deploy machine learning models as robust, secure services containerize models with Docker and serve them via FastAPI on AWS ensuring low-latency predictions for marketing applications. Manage Batch inference and Realtime inference.- CI/CD Automation:Implement continuous integration and delivery (CI/CD) pipelines for ML projects. Automate testing, model validation, and deployment workflows using tools like GitHub Actions to accelerate delivery.- Model Lifecycle Management:Orchestrate the end-to-end ML lifecycle, including versioning, packaging, and registering models. Maintain a model repository/registry (MLflow or similar) for reproducibility and governance from experimentation through production. Experience on MLFlow and Airflow is mandatory- Monitoring & Optimization:Monitor model performance, data drift, and system health in production. Set up alerts and dashboards and proactively initiate model retraining or tuning to sustain accuracy and efficiency over time.- Must To Have Skills: Proficiency in Machine Learning Operations.- Strong understanding of cloud-based AI services and deployment strategies.- Should have Multi Cloud skills- Experience with Machine learning frameworks- Ability to implement and optimize machine learning models for production environments. Additional Information:- The candidate should have minimum 7.5 years of experience in Machine Learning Operations.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Operations, Java Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Machine Learning Engineer/MLOps Expert, you will engage in the operationalization of Machine Learning Models that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready ML system, ensuring high-quality standards are met. Roles & Responsibilities:- Continuously evaluate and improve existing processes to enhance efficiency.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team skills and capabilities.- Monitor project progress and ensure alignment with strategic goals. Professional & Technical Skills: - ML Pipeline Development:Design, build, and maintain scalable pipelines for model training to support our AI initiatives.- Model Deployment & Serving:Deploy machine learning models as robust, secure services containerize models with Docker and serve them via FastAPI on AWS ensuring low-latency predictions for marketing applications. Manage Batch inference and Realtime inference.- CI/CD Automation:Implement continuous integration and delivery (CI/CD) pipelines for ML projects. Automate testing, model validation, and deployment workflows using tools like GitHub Actions to accelerate delivery.- Model Lifecycle Management:Orchestrate the end-to-end ML lifecycle, including versioning, packaging, and registering models. Maintain a model repository/registry (MLflow or similar) for reproducibility and governance from experimentation through production. Experience on MLFlow and Airflow is mandatory- Monitoring & Optimization:Monitor model performance, data drift, and system health in production. Set up alerts and dashboards and proactively initiate model retraining or tuning to sustain accuracy and efficiency over time.- Must To Have Skills: Proficiency in Machine Learning Operations.- Strong understanding of cloud-based AI services and deployment strategies.- Should have Multi Cloud skills- Experience with Machine learning frameworks- Ability to implement and optimize machine learning models for production environments. Additional Information:- The candidate should have minimum 5 years of experience in Machine Learning Operations.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Operations Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Machine Learning Engineer/MLOps Expert, you will engage in the operationalization of Machine Learning Models that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready ML system, ensuring high-quality standards are met. Roles & Responsibilities:- Continuously evaluate and improve existing processes to enhance efficiency.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team skills and capabilities.- Monitor project progress and ensure alignment with strategic goals. Professional & Technical Skills: - ML Pipeline Development:Design, build, and maintain scalable pipelines for model training to support our AI initiatives.- Model Deployment & Serving:Deploy machine learning models as robust, secure services containerize models with Docker and serve them via FastAPI on AWS ensuring low-latency predictions for marketing applications. Manage Batch inference and Realtime inference.- CI/CD Automation:Implement continuous integration and delivery (CI/CD) pipelines for ML projects. Automate testing, model validation, and deployment workflows using tools like GitHub Actions to accelerate delivery.- Model Lifecycle Management:Orchestrate the end-to-end ML lifecycle, including versioning, packaging, and registering models. Maintain a model repository/registry (MLflow or similar) for reproducibility and governance from experimentation through production. Experience on MLFlow and Airflow is mandatory- Monitoring & Optimization:Monitor model performance, data drift, and system health in production. Set up alerts and dashboards and proactively initiate model retraining or tuning to sustain accuracy and efficiency over time.- Must To Have Skills: Proficiency in Machine Learning Operations.- Strong understanding of cloud-based AI services and deployment strategies.- Should have Multi Cloud skills- Experience with Machine learning frameworks- Ability to implement and optimize machine learning models for production environments. Additional Information:- The candidate should have minimum 3 years of experience in Machine Learning Operations.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Operations, Manual Testing Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Machine Learning Engineer/MLOps Expert, you will engage in the operationalization of Machine Learning Models that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready ML system, ensuring high-quality standards are met. Roles & Responsibilities:- Continuously evaluate and improve existing processes to enhance efficiency.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team skills and capabilities.- Monitor project progress and ensure alignment with strategic goals. Professional & Technical Skills: - ML Pipeline Development:Design, build, and maintain scalable pipelines for model training to support our AI initiatives.- Model Deployment & Serving:Deploy machine learning models as robust, secure services containerize models with Docker and serve them via FastAPI on AWS ensuring low-latency predictions for marketing applications. Manage Batch inference and Realtime inference.- CI/CD Automation:Implement continuous integration and delivery (CI/CD) pipelines for ML projects. Automate testing, model validation, and deployment workflows using tools like GitHub Actions to accelerate delivery.- Model Lifecycle Management:Orchestrate the end-to-end ML lifecycle, including versioning, packaging, and registering models. Maintain a model repository/registry (MLflow or similar) for reproducibility and governance from experimentation through production. Experience on MLFlow and Airflow is mandatory- Monitoring & Optimization:Monitor model performance, data drift, and system health in production. Set up alerts and dashboards and proactively initiate model retraining or tuning to sustain accuracy and efficiency over time.- Must To Have Skills: Proficiency in Machine Learning Operations.- Strong understanding of cloud-based AI services and deployment strategies.- Should have Multi Cloud skills- Experience with Machine learning frameworks- Ability to implement and optimize machine learning models for production environments. Additional Information:- The candidate should have minimum 5 years of experience in Machine Learning Operations.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education