Job description We are seeking a forward-thinking and enthusiastic Engineering and Operations Specialist to manage and optimize our MongoDB and Splunk platforms. The ideal candidate will have in-depth experience in at least one of these technologies, with a preference for experience in both. Worked with engineering and operational tasks for MongoDB and Splunk platforms, ensuring high availability and stability. Continuously improve the stability of the environments, leveraging automation, self-healing mechanisms, and AIOps. Develop and implement automation using technologies such as Ansible, Python, Shell. Manage CI/CD deployments and maintain code repositories. Utilize Infrastructure/Configuration as Code practices to streamline processes. Work closely with development teams to integrate database and observability/logging tools effectively Manages design, distribution, performance, replication, security, availability, and access requirements for large and complex MongoDB databases version (6.0,7.0 ,8.0 and above) on Linux OS on (on-premises, cloud-based). Designs and develops physical layers of databases to support various application needs; Implements back-up, recovery, archiving, conversion strategies, and performance tuning; Manages job scheduling, application release, database change and implement best Database and infrastructure security to meet the compliance. Monitor and tune MongoDB and Splunk clusters for optimal performance, identifying bottlenecks and troubleshooting issues. Analyze database queries, indexing, and storage to ensure minimal latency and maximum throughput. The Senior Splunk System Administrator will build, maintain, and standardize the Splunk platform, including forwarder deployment, configuration, dashboards, and maintenance across Linux OS . Able to debug production issues by analyzing the logs directly and using tools like Splunk. Work in Agile model with the understanding of Agile concepts and Azure DevOps. Learn new technologies based on demand and help team members by coaching and assisting. Education, Technical Skills & Other Critical Requirement Education Bachelor s degree in computer science, Information Systems, or another related field with 7+ years of IT and Infrastructure engineering work experience. MongoDB Certified DBA or Splunk Certified Administrator is a plus Experience with cloud platforms like AWS, Azure, or Google Cloud. Experience (In Years) 7+ Years Total IT experience & 4+ Years relevant experience in MongoDB and working experience Splunk Administrator Technical Skills In-depth experience with either MongoDB or Splunk, with a preference for exposure to both. Strong enthusiasm for learning and adopting new technologies. Experience with automation tools like Ansible, Python and Shell. Proficiency in CI/CD deployments, DevOps practices, and managing code repositories. Knowledge of Infrastructure/Configuration as Code principles. Developer experience is highly desired. Data engineering skills are a plus. Experience with other DB technologies and observability tools are a plus. Extensive work experience Managed and optimized MongoDB databases, designed robust schemas, and implemented security best practices, ensuring high availability, data integrity, and performance for mission-critical applications. Working experience in database performance tuning with MongoDB tools and techniques. Management of database elements, including creation, alteration, deletion and copying of schemas, databases, tables, views, indexes, stored procedures, triggers, and declarative integrity constraints Extensive experience in Database Backup and recovery strategy by design, configuration and implementation using backup tools (Mongo dump, Mongo restore) and Rubrik. Extensive experience in Configuration and enforced SSL/TLS encryption for secure communication between MongoDB nodes Working experience to Configure and maintain Splunk environments, developed dashboards, and implemented log management solutions to enhance system monitoring and security across Linux OS. Experience Splunk migration and u

Job description Position Summary: This position is responsible for design and implementation of application platform solutions, with an initial focus on Customer Communication Management (CCM) platforms such as enterprise search and document generation/workflow products such as Quadient , xPression , Documaker , WebSphere Application Server (WAS), and technologies from OpenText. While gaining and providing expertise on these key business platforms, the Engineer will identify opportunities for automation and cloud-enablement across other technologies within the Platform Engineering portfolio and developing cross-functional expertise Job Responsibilities: Provide design and technical support to application developers and operations support staff when required. This includes promoting the use of best practices, ensuring standardization across applications and troubleshooting Design and implement complex integration solutions through collaboration with engineers and application teams across the global enterprise Promote and utilize automation to design and support configuration management, orchestration, and maintenance of the integration platforms using tools such as Perl, Python, and Unix shell Collaborate with senior engineers to understand emerging technologies and their effect on unit cost and service delivery as part of the evolution of the integration technology roadmap Investigate, recommend, implement, and maintain CCM solutions across multiple technologies Investigation of released fix packs, provide well documented instructions and script automation to operations for implementation in collaboration with Senior Engineers in support of platform currency Capacity reviews of current platform Participate in cross-departmental efforts Leads initiatives within the community of practice Willing to work in rotational shifts Good Communication skill with the ability to communicate clearly and effectively Education: Bachelors degree in computer science, Information Systems, or related field. Experience: 7+ years of total experience in designing, developing, testing and deploying n-tier applications built on java, python, W ebSphere Application Server, Liberty, Apache Tomcat etc At least 4+ years of experience on Customer Communication Management (CCM) and Document Generation platforms such as Quadient , xPression , Documaker . Linux/Windows OS Apache / HIS IBM WebSphere Application Server, Liberty Quadient , xPression Ansible Shell scripting (Linux, Powershell ) Json/Yaml Ping, SiteMinder Monitoring & Observability (Elastic, AppD , Kibana) Troubleshooting Log & Performance Analysis OpenShift Role: System Administrator / Engineer Industry Type: Insurance Department: Engineering - Hardware & Networks Employment Type: Full Time, Permanent Role Category: IT Network Education UG: Any Graduate PG: Any Postgraduate Key Skills UnixAutomationLinuxShell scriptingWorkflowPerlApacheTroubleshootingTechnical supportPython

Job description This position is responsible for design, implementation, and support of MetLifes enterprise data management and integration systems, the underlying infrastructure, and integrations with other enterprise systems and applications using AIX, Linux, or Microsoft Technologies. Provide technical expertise in the planning, engineering, design, implementation and support of data management and integration system infrastructures and technologies. This includes the systems operational procedures and processes Partner with the Capacity Management, Production Management, Application Development Teams and the Business to ensure customer expectations are maintained and exceeded Participate in the evaluation and recommendation of new products and technologies, maintain knowledge of emerging technologies for application to the enterprise Identify and resolve complex data management and integration system issues (Tier 3 support) utilizing product knowledge and structured troubleshooting tools and techniques Support Disaster Recovery implementation and testing as required Experience in design and developing Automation/Scripting (shell, Perl, PowerShell, Python, Java ) Good decision-making skills Take ownership for the deliverables from the entire team Strong collaboration with leadership groups Learn new technologies based on demand Coach other team members and bring them up to speed Track project status working with team members and report to leadership Participate in cross-departmental efforts Leads initiatives within the community of practice Willing to work in rotational shifts Good Communication skill with the ability to communicate clearly and effectively Knowledge, Skills and Abilities Education Bachelors degree in computer science, Information Systems, or related field. Experience 10+ years of total experience and at least 7+ years of experience in Informatica applications implementation and support of data management and integration system infrastructures and technologies. This includes the systems operational procedures and processes. Participate in the evaluation and recommendation of new products and technologies, maintain knowledge of emerging technologies for application to the enterprise. Good understanding in Disaster Recovery implementation and testing Design and developing Automation/Scripting (shell, Perl, PowerShell, Python, Java ) Informatica PowerCenter Informatica PWX Informatica DQ Informatica DEI Informatica B2B/DX Informatica MFT Informatica MDM Informatica ILM Informatica Cloud (IDMC/IICS) Ansible (Automation) Operating System Knowledge (Linux/Windows/AIX) Azure Dev Ops Pipeline Knowledge Python and/or Powershell Agile SAFe for Teams Enterprise Scheduling Knowledge (Maestro) Troubleshooting Communications CP4D Datastage Mainframe z/OS Knowledge Open Shift Elastic Experience in creating and working on Service Now tasks/tickets Role: Technical Lead Industry Type: Insurance Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: Any Graduate PG: Any Postgraduate Key Skills Computer scienceAutomationLinuxData managementDisaster recoverySchedulingPerlWindowsTroubleshootingOperations

Job description Position Summary: Resource is responsible for assisting MetLife Docker Container support of Application Development Teams. In this position the resource will be supporting MetLife applications in an operational role performing on boarding applications, troubleshooting infra and Applications Container issues. Automate any of the manual build process using CI/CD pipeline. Job Responsibilities: Development and maintenance in operational condition of OpenShift, Kubernetes Orchestration container platforms Experience in workload migration from Docker to OpenShift platform Manage the container platform ecosystem (installation, upgrade, patching, monitoring) Check and apply critical patches in OpenShift/Kubernetes Troubleshoot issues in OpenShift Clusters Experience in OpenShift implementation, administration and support Working experience in OpenShift and Docker/K8s Knowledge of CI/CD methodology and tooling (Jenkins, Harness) Experience with system configuration tools including Ansible, Chef Cluster maintenance and administration experience on OpenShift and Kubernetes Strong Knowledge & Experience in RHEL Linux Manage OpenShift Management Components and Tenants Participates as part of a technical team responsible for the overall support and management of the OpenShift Container Platform. Learn new technologies based on demand. Willing to work in rotational shifts Good Communication skill with the ability to communicate clearly and effectively Education: Bachelors degree in computer science, Information Systems, or related field Experience: 7+ years of total experience and at least 4+ years of experience in development and maintenance in operational condition of OpenShift, Kubernetes Orchestration container platforms Experience in installation, upgrade, patching, monitoring of container platform ecosystem Experience in workload migration from Docker to OpenShift platform. Good knowledge of CI/CD methodology and tooling (Jenkins, Harness) Linux Administration Software Defined Networking (Fundamentals) Container Runtimes (Podman / Docker), Kubernetes (OpenShift) / Swarm Orchestration, GoLang framework and Microservices Architecture Knowledge and usage of Observability tools (i.e. Elastic, Grafana, Prometheus, OTEL collectors, Splunk ) Apache Administration Automation Platforms: Specifically, Ansible (roles / collections) SAFe DevOps Scaled Agile Methodology Scripting: Python, Bash Serialization Language: YAML, JSON Knowledge and usage of CI/CD Tools (i.e.: AzDO, ArgoCD) Reliability Mgmt. / Troubleshooting Collaboration & Communication SkillsContinuous Integration / Continuous Delivery (CI/CD) Experience in creating change tickets and working on tasks in Service Now Java Mgmt. (JMX)/ NodeJS management Role: DevOps Consultant / Architect Industry Type: Insurance Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: DevOps Education UG: Any Graduate PG: Any Postgraduate Key Skills Computer scienceAutomationUsageApplication developmentJSONAgile methodologyApacheOperationsMonitoringPython

Job description Position Summary: A Big Data (Hadoop) Administrator responsible for supporting the installation, configuration, and maintenance of Cloudera Data Platform (CDP) and Cloudera Flow Management (CFM) streaming clusters on RedHat Linux. Strong expertise in DevOps practices, automation, and scripting (e.g . Ansible , Azure DevOps, Shell, Python ) to streamline operations and improve efficiency is highly valued. Job responsibilities: Assist in the installation, configuration, and maintenance of Cloudera Data Platform (CDP) and Cloudera Flow Management (CFM) streaming clusters on RedHat Linux. Perform routine monitoring, troubleshooting, and issue resolution to ensure the stability and performance of Hadoop clusters. Develop and maintain scripts (e.g., Python, Bash, Ansible) to automate operational tasks and improve system efficiency. Collaborate with cross-functional teams, including application development, infrastructure, and operations, to support business requirements and implement new features. Implement and follow best practices for cluster security, including user access management and integration with tools like Apache Ranger and Kerberos. Support backup, recovery, and disaster recovery processes to ensure data availability and business continuity. Conduct performance tuning and optimization of Hadoop clusters to enhance system efficiency and reduce latency. Analyze logs and use tools like Splunk to debug and resolve production issues. Document operational processes, maintenance procedures, and troubleshooting steps to ensure knowledge sharing and consistency. Stay updated on emerging technologies and contribute to the adoption of new tools and practices to improve cluster management. Education: Bachelor s degree in computer science, Information Systems, or another related field with 7+ years of IT and Infrastructure engineering work experience. Experience: 7+ Years Total IT experience & 4+ Years relevant experience in Big Data database. Big Data Platform Management : Big Data Platform Management: Knowledge in managing and optimizing the Cloudera Data Platform, including components such as Apache Hadoop (YARN and HDFS), Apache HBase, Apache Solr , Apache Hive, Apache Kafka, Apache NiFi , Apache Ranger, Apache Spark, as well as JanusGraph and IBM BigSQL . Automation and Scripting : Expertise in automation tools and scripting languages such as Ansible, Python, and Bash to streamline operational tasks and improve efficiency. DevOps Practices : Proficiency in DevOps tools and methodologies, including CI/CD pipelines, version control systems (e.g., Git), and infrastructure-as-code practices. Monitoring and Troubleshooting : Experience with monitoring and observability tools such as Splunk, Elastic Stack, or Prometheus to identify and resolve system issues. Linux Administration : Solid knowledge of Linux operating systems, including system administration, troubleshooting, and performance tuning. Backup and Recovery : Familiarity with implementing and managing backup and recovery processes to ensure data availability and business continuity. Security and Access Management : Understanding of security best practices, including user access management and integration with tools like Kerberos. Agile Methodologies : Knowledge of Agile practices and frameworks, such as SAFe , with experience working in Agile environments. ITSM Tools : Familiarity with ITSM processes and tools like ServiceNow for incident and change management. Role: Head - DevOps Industry Type: Insurance Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: DevOps Education UG: Any Graduate PG: Any Postgraduate Key Skills Computer scienceChange managementLinuxDisaster recoveryTroubleshootingBusiness continuityOperationsMonitoringScriptingSystem administration

Job description Position Summary: A Big Data (Hadoop) Administrator responsible for supporting the installation, configuration, and maintenance of Cloudera Data Platform (CDP) and Cloudera Flow Management (CFM) streaming clusters on RedHat Linux. Strong expertise in DevOps practices, automation, and scripting (e.g . Ansible , Azure DevOps, Shell, Python ) to streamline operations and improve efficiency is highly valued. Job Responsibilities: Assist in the installation, configuration, and maintenance of Cloudera Data Platform (CDP) and Cloudera Flow Management (CFM) streaming clusters on RedHat Linux. Perform routine monitoring, troubleshooting, and issue resolution to ensure the stability and performance of Hadoop clusters. Develop and maintain scripts (e.g., Python, Bash, Ansible) to automate operational tasks and improve system efficiency. Collaborate with cross-functional teams, including application development, infrastructure, and operations, to support business requirements and implement new features. Implement and follow best practices for cluster security, including user access management and integration with tools like Apache Ranger and Kerberos. Support backup, recovery, and disaster recovery processes to ensure data availability and business continuity. Conduct performance tuning and optimization of Hadoop clusters to enhance system efficiency and reduce latency. Analyze logs and use tools like Splunk to debug and resolve production issues. Document operational processes, maintenance procedures, and troubleshooting steps to ensure knowledge sharing and consistency. Stay updated on emerging technologies and contribute to the adoption of new tools and practices to improve cluster management. Education: Bachelor s degree in computer science, Information Systems, or another related field with 7+ years of IT and Infrastructure engineering work experience. Experience: 7+ Years Total IT experience & 4+ Years relevant experience in Big Data database. Technical Skills: Big Data Platform Management : Big Data Platform Management: Knowledge in managing and optimizing the Cloudera Data Platform, including components such as Apache Hadoop (YARN and HDFS), Apache HBase, Apache Solr , Apache Hive, Apache Kafka, Apache NiFi , Apache Ranger, Apache Spark, as well as JanusGraph and IBM BigSQL . Automation and Scripting : Expertise in automation tools and scripting languages such as Ansible, Python, and Bash to streamline operational tasks and improve efficiency. DevOps Practices : Proficiency in DevOps tools and methodologies, including CI/CD pipelines, version control systems (e.g., Git), and infrastructure-as-code practices. Monitoring and Troubleshooting : Experience with monitoring and observability tools such as Splunk, Elastic Stack, or Prometheus to identify and resolve system issues. Linux Administration : Solid knowledge of Linux operating systems, including system administration, troubleshooting, and performance tuning. Backup and Recovery : Familiarity with implementing and managing backup and recovery processes to ensure data availability and business continuity. Security and Access Management : Understanding of security best practices, including user access management and integration with tools like Kerberos. Agile Methodologies : Knowledge of Agile practices and frameworks, such as SAFe , with experience working in Agile environments. ITSM Tools : Familiarity with ITSM processes and tools like ServiceNow for incident and change management. Role: Head - DevOps Industry Type: Insurance Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: DevOps Education UG: Any Graduate PG: Any Postgraduate Key Skills Computer scienceChange managementLinuxDisaster recoveryApplication developmentTroubleshootingBusiness continuityOperationsMonitoringSystem administration

Job description This position is responsible for design and implementation of application platform solutions, with an initial focus on Enterprise Content Management (ECM) platforms such as enterprise search and document generation/workflow products such as IBM FileNet / BAW, WebSphere Application Server (WAS), and technologies from OpenText. While gaining and providing expertise on these key business platforms, the Engineer will identify opportunities for automation and cloud-enablement across other technologies within the Platform Engineering portfolio and developing cross-functional expertise Provide design and technical support to application developers and operations support staff when required. This includes promoting the use of best practices, ensuring standardization across applications and troubleshooting Design and implement complex integration solutions through collaboration with engineers and application teams across the global enterprise Promote and utilize automation to design and support configuration management, orchestration, and maintenance of the integration platforms using tools such as Perl, Python, and Unix shell Collaborate with senior engineers to understand emerging technologies and their effect on unit cost and service delivery as part of the evolution of the integration technology roadmap Investigate, recommend, implement, and maintain ECM solutions across multiple technologies Investigation of released fix packs, provide well documented instructions and script automation to operations for implementation in collaboration with Senior Engineers in support of platform currency Capacity reviews of current platform Participate in cross-departmental efforts Leads initiatives within the community of practice Willing to work in rotational shifts Good Communication skill with the ability to communicate clearly and effectively Knowledge, Skills and Abilities Education Bachelor s Degree in Computer Science, Information Systems, or related field. Experience 7+ years of total experience and at least 4+ years of experience in design and implementation of application platform solutions on Enterprise Content Management (ECM) platforms such as enterprise search, document generation/workflow products such as IBM FileNet / BAW, WebSphere Application Server (WAS) Promote and utilize automation to design and support configuration management, orchestration, and maintenance of the integration platforms using tools such as Perl, Python, and Unix shell Apache / HIS Linux/Windows OS Communication Json/Yaml Shell scripting Integration of authentication and authorization methods Web to jvm communications SSL/TLS protocols/cipher suites and certificates/keystores FileNet/BAW install, configure, administer Liberty administration Troubleshooting Integration with database technologies Integration with middleware technologies Good to Have: Ansible Python OpenShift AZDO Pipelines Other Requirements (licenses, certifications, specialized training - if required) Working Relationships Internal Contacts (and purpose of relationship): MetLife internal partners External Contacts (and purpose of relationship) - If Applicable MetLife external partners Role: System Administrator / Engineer Industry Type: Insurance Department: Engineering - Hardware & Networks Employment Type: Full Time, Permanent Role Category: IT Network Education UG: Any Graduate PG: Any Postgraduate Key Skills UnixAutomationLinuxShell scriptingWorkflowPerlApacheTroubleshootingTechnical supportPython

Job description What do you contribute? As part of our AI team, you will be responsible for building & maintaining scalable Data/ML pipelines that support our high performance, scalable, robust SAAS platform. You will also contribute in building/improving Data Analytics/ML insights applications & realtime pipelines for our Martech & product discovery platform. Must have Overall experience of 5-7 years in building web applications at scale Proficiency in, at least, one modern programming language such as Golang/ Python Hands-on experience in working with at least one major cloud provider like AWS/ GCP/ Azure Proficiency in working with containerized applications using Docker etc Proficiency in managing deployment workflows using CI/CD tools like Github Actions/ Jenkins/ Gitlab Hands-on experience in architecture, implementation, deployment, testing and scalability of large scale distributed systems Proficiency in using version control like Github/ Gitlab Good To Have Exposure to Kubernetes, Helm and related ecosystems Hands-on experience in training large scale ML models Experience in building high throughput big data pipelines & batch data processing tools Experience in highly scalable tools like Kafka, Spark, Hive, Hadoop Experience in ML toolkits like Kubeflow/ AI workflows/ AWS Batch is a plus Understanding of networking concepts like VPC/ Subnets/ NAT/ IG/ DNS Role: Back End Developer Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: Any Graduate Key Skills Skills highlighted with ‘‘ are preferred keyskills DockerMachine LearningMicroservicesPythonKubernetes sql

Job description Senior Backend Developer Experience: 3 - 5 Years Exp Salary: Competitive Preferred Notice Period: Within 60 Days Shift: 9:30 AM to 6:30 PM IST Opportunity Type: Hybrid (Gurugram) Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skill required : Python Stupa Sports Analytics (One of Uplers' Clients) is Looking for: Senior Backend Developer who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description Senior Backend Developer (Python) We are seeking a skilled and experienced Backend Developer to join our team at Stupa Analytics. As a Backend Developer, you will be responsible for building and maintaining the backend services and APIs that power our sports analytics platform, ensuring high performance, scalability, and security. Responsibilities: Develop and maintain backend services and APIs using Python, FastAPI, Django, Flask, and other relevant technologies. Collaborate with frontend developers, product managers, and other team members to design and implement features and enhancements for our sports analytics platform. Optimize application performance, scalability, and reliability, ensuring a seamless user experience. Implement security best practices and ensure compliance with cloud-native architectures. Work with SQL and NoSQL databases, such as SQL Server, PostgreSQL, and others, to store and manage data efficiently. Understand and implement microservices framework, SaaS-based architecture, multi-tenant architecture, and containerization frameworks. Participate in code reviews, maintain code quality, and ensure adherence to best practices. Stay up-to-date with the latest backend technologies and trends, such as cloud-native components using one of the cloud providers (Azure, AWS, GCP), and API integration. Develop a solid understanding of cloud services, cloud security principles, and sports analytics. Requirements: Bachelor's degree in Computer Science, Engineering, or a related field. 4-7 years of experience in backend development, preferably in the sports analytics or sports industry. Proficiency in Python, FastAPI, Django, Flask, and relevant backend technologies. Experience working with SQL and NoSQL databases, such as SQL Server, PostgreSQL, and others. Strong understanding of microservices framework, SaaS-based architecture, multi-tenant architecture, and containerization frameworks. Familiarity with frontend technologies, such as HTML, CSS, JavaScript, Angular, React, and API integration. Knowledge of web security best practices and cloud security principles. Excellent problem-solving, communication, and teamwork skills. Passion for sports analytics and a strong understanding of the sports industry (preferred). To apply for this position, please submit your resume and a cover letter detailing your experience and interest in backend development, sports analytics, and the specific technologies mentioned above. How to apply for this opportunity: Easy 3-Step Process: 1. Click On Apply! And Register or log in on our portal 2. Upload updated Resume & Complete the Screening Form 3. Increase your chances to get shortlisted & meet the client for the Interview! About Our Client: Stupa is a global sports technology company, driven by our love for table tennis, badminton, padel and pickleball. Our core services include digitized event management systems for sport federations, performance analytics for athletes, OTT for fans and live streaming for betting and media houses. Through our AI enabled video solutions used by national federations and broadcasters, we enhance the viewing experience for fans across the world. About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are

Job description Role & responsibilities Conduct research in AI, focusing on LLMs, NLP, and Graph-based approaches Design and implement innovative algorithms and models to improve AI capabilities Collaborate with cross-functional teams to apply research findings to real-world applications Stay current with the latest advancements in AI and contribute to the company's intellectual property portfolio Key Skills: Large Language Models (e.g., Transformer architectures, few-shot learning, prompt engineering) Natural Language Processing (e.g., text classification, named entity recognition, sentiment analysis) Graph Neural Networks and graph-based machine learning Distributed computing and parallel processing Data analysis and visualization Scientific writing and presentation skills Required Qualifications: B. Tech / Masters in Computer Science, Artificial Intelligence, or a related field Prefer a Ph.D. in Computer Science, Artificial Intelligence, or a related field Strong background in machine learning, deep learning, and AI algorithms Experience in NLP techniques and Large Language Models Experience with Graph Neural Networks and graph-based machine learning approaches Proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow) Excellent programming and software engineering skills Preferred Qualifications: Ph.D. in Computer Science, Artificial Intelligence, or a related field Experience with distributed computing and large-scale machine learning systems Familiarity with cloud computing platforms (e.g., AWS, Google Cloud, Azure) Knowledge of ethical AI and responsible AI development practices Experience with multi-modal AI systems combining language, vision, and other modalities Role: Research & Development - Other Industry Type: Software Product Department: Research & Development Employment Type: Full Time, Permanent Role Category: Research & Development - Other Education UG: B.Tech/B.E. in Information Technology PG: M.Tech in Computers Key Skills Skills highlighted with ‘‘ are preferred keyskills Natural Language Processing Artificial IntelligenceDeep Learning