Job description Role Overview We are looking for an experienced AEM Backend Developer to join our Digital Platforms team. The ideal candidate will have strong backend development skills in Java (primary) and Python, with hands-on expertise in building scalable and maintainable Adobe Experience Manager (AEM) solutions. Key Responsibilities Design, develop, and maintain AEM-based backend components and templates. Build custom AEM Sling models, servlets, services, and OSGi components. Develop and integrate RESTful APIs and third-party systems. Implement and optimize AEM workflows, user permissions, and content version control. Write backend scripts using Java and Python for automation and deployment. Collaborate with frontend teams and AEM authors for dynamic content delivery. Troubleshoot and resolve AEM technical issues and optimize performance/security. Primary Skills (Must-Have) AEM Backend Development (3+ years) Java (Core, OSGi, Sling, JCR) Python (for scripting/automation) AEM APIs, Custom Components, Servlets REST APIs, JSON/XML Maven, Git, Jenkins Agile Development Practices AEM Architecture (Dispatcher, Replication, Workflows) Secondary Skills (Nice to Have) Adobe Experience Cloud tools (Adobe Target, Analytics, Campaign) AEM as a Cloud Service Frontend familiarity: HTL, React, Angular CI/CD knowledge with Azure DevOps or similar platforms Required Qualifications B.Tech, B.E, MCA, or equivalent in Computer Science or related field Proven delivery of high-quality AEM web applications Role: Full Stack Developer Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: Any Graduate PG: Any Postgraduate Doctorate: Doctorate Not Required Key Skills Skills highlighted with ‘‘ are preferred keyskills AEM HTLCI/CDReactAgile DevelopmentAngularAzure DevOps

Job description #JobOpening Data Engineer (Contract | 6 Months) Location: Hyderabad | Chennai | Remote Flexibility Possible Type: Contract | Duration: 6 Months We are seeking an experienced Data Engineer to join our team for a 6-month contract assignment. The ideal candidate will work on data warehouse development, ETL pipelines, and analytics enablement using Snowflake, Azure Data Factory (ADF), dbt, and other tools. This role requires strong hands-on experience with data integration platforms, documentation, and pipeline optimizationespecially in cloud environments such as Azure and AWS. #KeyResponsibilities Build and maintain ETL pipelines using Fivetran, dbt, and Azure Data Factory Monitor and support production ETL jobs Develop and maintain data lineage documentation for all systems Design data mapping and documentation to aid QA/UAT testing Evaluate and recommend modern data integration tools Optimize shared data workflows and batch schedules Collaborate with Data Quality Analysts to ensure accuracy and integrity of data flows Participate in performance tuning and improvement recommendations Support BI/MDM initiatives including Data Vault and Data Lakes #RequiredSkills 7+ years of experience in data engineering roles Strong command of SQL, with 5+ years of hands-on development Deep experience with Snowflake, Azure Data Factory, dbt Strong background with ETL tools (Informatica, Talend, ADF, dbt, etc.) Bachelor's in CS, Engineering, Math, or related field Experience in healthcare domain (working with PHI/PII data) Familiarity with scripting/programming (Python, Perl, Java, Linux-based environments) Excellent communication and documentation skills Experience with BI tools like Power BI, Cognos, etc. Organized, self-starter with strong time-management and critical thinking abilities #NiceToHave Experience with Data Lakes and Data Vaults QA & UAT alignment with clear development documentation Multi-cloud experience (especially Azure, AWS) #ContractDetails Role: Data Engineer Contract Duration: 6 Months Location Options: Hyderabad / Chennai (Remote flexibility available) Role: Data Engineer Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: Any Graduate PG: CS in Any Specialization Doctorate: Doctorate Not Required Key Skills Skills highlighted with ‘‘ are preferred keyskills Snowflake JavaData LakesADFData VaultUAT TestingPerlInformaticaSQLAzure Data FactoryTalendETL pipelinesPython

Job description About The Role CrowdStrike is seeking a highly experienced and seasoned SDET to join our Falcon Exposure Management Product Group as a technical leader As a Senior SDET, you will leverage your vast experience in leading large-scale products to drive technical direction, develop automation, and build tools that ensure the quality, reliability, and accuracy of our cloud-based cybersecurity systems If you are a hands-on technical leader who wants to operate at scale and drive complex testing initiatives, we encourage you to apply. What You'll Do Work closely with the engineering and product management team to understand product architecture and functionality. Understand end-to-end testing requirements and maintain test plans for functionality and system testing. Strongly contribute to Test Case/Test script writing. Contribute to Test Automation Framework Development/Enhancements Participate in the creation and enhancement of the continuous integration platform used to test all our products. Communicate test results to identify risks, dependencies and escalate the same in a timely manner. Orchestrate the end-to-end testing efforts to plan, design, execute and report the delivery of the features Manage, design, review test plans and provide accurate forecast of QA resource & effort estimations for deliverables Must be able to pivot testing focus based on the priorities to align with business objectives and manage expectations. Assist with classification and triage of defects/issues to prioritize, isolate, replicate and support resolution in JIRA In addition to above, we expect the engineer assuming this position to: Lead validation effort of the complex features and functionalities with broad impact across multiple teams Collaborate with others to drive complex feature development and resolve poorly understood problems. Provide thought leadership and architectural expertise, influencing the technical direction product group Volunteer for leadership roles and working groups that impact the product team and the industry. Contribute to strategic and technical planning, identifying areas of greatest need and developing plans for improvement. Provide architectural and design expertise, considering the bigger picture and long-term implications. Embody the organization's culture and best practices, serving as a role model to others. Share best practices and coach/mentor new team members, contributing to the their technical growth Multiply the effectiveness of others by facilitating cross-team work and building consensus across teams. What You'll Need 12+ years of experience in Quality Assurance (QA) manual plus automation role in a product based companies. Strong experience and proficiency in working with Windows, Linux (various distros) and mac platforms Proven and strong experience in automation framework design Must have proficiency on Python and/or Golang Must have experience with Web application and API testing. Hands on knowledge on shell scripting, PowerShell scripting, osquery, nmap etc will be preferred Strong understanding of generic test automation frameworks (data-driven, keyword driven) and tools ( PyTest, Robot Framework, Playwright, Selenium etc). Knowledge and hands on experience on using Ansible, Terraform, Vagrant, cloud certifications on AWS/GCP is a big plus Knowledge of SaaS delivery model and cloud application testing. Strong debugging and analytical skills. Experience with Test and defect management tools Excellent analytical and program solving skills, excellent written and oral communication, self-starter, and highly motivated. Work in a dynamic environment and ability to adapt quickly to changes. Role: Software Developer in Test (SDET) Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Quality Assurance and Testing Education UG: B.Tech/B.E. in Any Specialization PG: Any Postgraduate Doctorate: Doctorate Not Required Key Skills Skills highlighted with ‘‘ are preferred keyskills SDET GolangosqueryPlaywrightAP

Job description What You'll Do: At Meltwater, our DevOps Engineers play a vital role in building and maintaining robust, scalable, and highly available infrastructures that support our global client base In this role, you will design, test, maintain, and operate cutting-edge DevOps architectures that process billions of documents per day through advanced Machine Learning workflowsall while ensuring a 99.999% uptime. As a key member of our engineering team, you will: Develop, test and maintain highly scalable, fault-tolerant DevOps architectures tailored for large-scale data processing and machine learning applications. closely with cross-functional development teams, taking full ownership of your subsystems and infrastructure. Participate in on-call rotations, being ready to troubleshoot and resolve real-time issues efficiently. Explore opportunities to enhance our technology stack by modifying open-source libraries and integrating innovative solutions. Continuously optimize quality, performance, reliability, and security across our systems. Champion a strong DevOps culture by implementing best practices in continuous integration (CI), continuous deployment (CD), infrastructure as code (IaC), and automated testing. We are looking for a proactive, fast-learning engineer who thrives in a collaborative, innovative environment If you have a passion for distributed AI systems and a drive to push the boundaries of technology, this is the perfect opportunity for you! What You'll Bring: E/B Solid theoretical knowledge of fundamental programming principles. 2-4 years of hands-on experience in software engineering, DevOps, or cloud infrastructure. Hands-on experience with Python (1+ years) for scripting and automation. Experience with core Java (2+ years) for backend development (JUnit, Maven, Spring Boot, REST APIs), Strong understanding of DevOps principles (2+ years) and a commitment to continuous learning and improvement. Proven expertise with Terraform (2+ years) for infrastructure as code. Experience (2+ years) with cloud platformspreferably Azure, but AWS is also valued. Proficiency in Docker containerization (2+ years) for building scalable, portable applications. Knowledge of Kubernetes (K8s) development (1+ years) for container orchestration. Familiarity with bash/shell scripting for automation. Practical experience in: CI/CD pipelines (GitHub Actions is a plus). Observability (logging, monitoring, and alerting). VPC, EC2, and cloud networking (routing, load balancing, security). Nice to Have: Experience with messaging systems (Kafka, RabbitMQ, ActiveMQ, or Kinesis) for real-time data processing. Familiarity with serverless computing technologies (AWS Lambda, Azure Functions). Experience with NLP/ML/LLMs pipelines, particularly in AI-driven applications Interest or experience in Machine Learning Operations (MLOps) to streamline AI/ML workflows. Role: DevOps Engineer Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: DevOps Education UG: B.Tech/B.E. in Any Specialization PG: Any Postgraduate Doctorate: Doctorate Not Required Key Skills Skills highlighted with ‘‘ are preferred keyskills DevOps RabbitMQMavenAzureJUnitKafkaSpring BootActiveMQAWSREST APIs

Job description We are looking for an experienced engineering manager to drive the technical execution of our projects while ensuring effective leadership, compliance with standards, and support for various departments This role requires hands-on expertise in technical leadership, project management, team oversight, and cross-functional collaboration. Responsibilities Technical Leadership: Lead and mentor the technical team in design, development, and implementation of solutions. Oversee the adoption of new technologies, best practices, and innovative solutions to meet project requirements. Project Leadership: Plan, execute, and monitor technical projects, ensuring they are delivered on time, within scope, and meet quality standards. Manage project resources, timelines, and risks while communicating progress to stakeholders. Team Management & Technical Oversight: Provide clear direction and coaching to team members, fostering a collaborative and results-driven environment. Ensure technical accuracy, code quality, and adherence to architectural principles through regular reviews and guidance. Technical Documentation & Process Compliance: Maintain comprehensive technical documentation for projects and processes. Ensure all projects comply with internal standards, industry best practices, and legal or regulatory requirements. Support to BD & HR Departments: Collaborate with Business Development (BD) to provide technical insights and support during client engagements, proposals, and solution design. Assist HR in the recruitment, training, and performance evaluations of technical staff, ensuring alignment with the organizations objectives. Qualification & Skills Mandatory Full Stack Development: Hands-on experience in both frontend and backend development, with proficiency in PHP, Python, and Next.js. Cloud Management: Practical experience with cloud platforms, particularly AWS (Experience with Azure/GCP is a plus.) Mobile Application Development: In-depth understanding of the mobile application development lifecycle for both Android and iOS, using native and hybrid technologies. AI Integration: Proficient in leveraging AI tools such as GitHub Copilot and ChatGPT to boost productivity and enhance code quality. Deployment & DevOps: Strong knowledge of CI/CD pipelines, automated deployments, and managing production environments. Architecture Design: Deep understanding of scalable, maintainable, and secure system architecture design. Live Product Management: Proven experience in managing live products or platforms with 10,000+ active users. Team Leadership: Demonstrated ability to lead and mentor cross-functional engineering teams in dynamic project environments. Product Development: Track record of leading end-to-end product developmentfrom prototyping to large-scale deployment. Technical Training: Capable of upskilling teams quickly on emerging technologies, frameworks, and best practices. Development Methodologies: Well-versed in Agile/Scrum methodologies, including sprint planning and iterative delivery. Code Quality & Review: Strong emphasis on coding standards, code review processes, and maintaining comprehensive technical documentation. Security Best Practices: Knowledge of secure coding practices, data privacy compliance, and basic application security principles. Communication: Excellent written and verbal communication skills; able to collaborate effectively with cross-functional teams and stakeholders at all levels. Attention to Detail: Meticulous approach to problem-solving and quality assurance in engineering deliverables. Role: Engineering Manager Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: B.Tech/B.E. in Any Specialization PG: Any Postgraduate Doctorate: Doctorate Not Required Key Skills Skills highlighted with ‘‘ are preferred keyskills Full Stack Development AzureGCPPHPNext.jsAWSMobile Application DevelopmentPython

Job description What You'll Do: As a AI/ML Engineer at Meltwater, you'll play a vital role in building cutting-edge social solutions for our global client base within the Explore mission We're seeking a proactive, quick-learning engineer who thrives in a collaborative environment Our culture values continuous learning, team autonomy, and a DevOps mindset. Meltwater development teams take full ownership of their subsystems and infrastructure, including running on-call rotations With a heavy reliance Software Engineer in AI/ML and Data Science We seek individuals with experience in Cloud infrastructure and containerization, Docker, Azure or AWS is required (Azure is preferred) Data Preparation, Model Lifecycle (training, serving and registries) & Natural language Processing (NLP) and LLMs In this role, you'll have the opportunity to push the boundaries of our technology stack, from modifying open-source libraries to innovating with existing technologies If you're passionate about distributed systems at scale and finding new ways to extract insights from vast amounts of data, we invite you to join us in this exciting journey. What You'll Bring: Bachelor's or master's degree in computer science or equivalent degree or demonstrable experience. Proven experience as a Software Engineer in AI/ML and Data Science. Minimum of 4-7 years of working experience. Good knowledge of Python and software engineering principles (4+ Years). Good knowledge of cloud infrastructure and containerization (4+ Years). Docker is required. Azure or AWS is required (Azure is preferred). Good working knowledge of TensorFlow / PyTorch (4+ Years). Good working knowledge of ML-Ops Principles (3+ Years). Data Preparation Model Lifecycle (training, serving and registries) Good theoretical knowledge of AI / Data Science in one or more of the following areas: Natural language Processing (NLP) and LLMs. Neural Networks Topic modelling and clustering Time Series Analysis (TSA), including anomaly detection, trend analysis, and forecasting) Retrieval Augmented Generation Speech to Text. Excellent communication and collaboration skills. What We Offer: Enjoy comprehensive paid time off options for enhanced work-life balance. Comprehensive health insurance tailored for you. Employee assistance programs cover mental health, legal, financial, wellness, and behaviour areas to ensure your overall well-being. Energetic work environment with a hybrid work style, providing the balance you need. Benefit from our family leave program, which grows with your tenure at Meltwater. Thrive within our inclusive community and seize ongoing professional development opportunities to elevate your career. Role: Data Platform Engineer Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: Any Graduate PG: Any Postgraduate Doctorate: Doctorate Not Required Key Skills Skills highlighted with ‘‘ are preferred keyskills AI/ML Engineering DevOpsAzureDockercloud infrastructureNatural language ProcessingAWSPython

Job description What we are looking for: As a Senior AI/ML Engineer at Meltwater, you'll play a vital role in building cutting-edge social solutions for our global client base within the Explore mission We're seeking a proactive, quick-learning engineer who thrives in a collaborative environment. Meltwater development teams take full ownership of their subsystems and infrastructure, including running on-call rotations With a heavy reliance Software Engineer in AI/ML and Data Science We seek individuals with experience in Cloud infrastructure and containerization, Docker, Azure or AWS is required (Azure is preferred) Data Preparation, Model Lifecycle (training, serving and registries) & Natural language Processing (NLP) and LLMs In this role, you'll have the opportunity to push the boundaries of our technology stack, from modifying open-source libraries to innovating with existing technologies If you're passionate about distributed systems at scale and finding new ways to extract insights from vast amounts of data, we invite you to join us in this exciting journey. What You'll Bring: Bachelors or masters degree in computer science or equivalent degree or demonstrable experience. Proven experience as a Lead Software Engineer in AI/ML and Data Science. Minimum of 8+ years of working experience. Leadership experience as tech or team lead (2+ Years). Strong knowledge of Python and software engineering principles (5+ Years). Strong knowledge of cloud infrastructure and containerization (5+ Years). Docker is required. Azure or AWS is required (Azure is preferred). Strong working knowledge of TensorFlow / PyTorch (5+ Years). Good working knowledge of ML-Ops Principles (3+ Years). Data Preparation Model Lifecycle (training, serving and registries) Good theoretical knowledge of AI / Data Science in one or more of the following areas: Natural language Processing (NLP) and LLMs. Neural Networks Topic modelling and clustering Time Series Analysis (TSA), including anomaly detection, trend analysis, and forecasting) Retrieval Augmented Generation Speech to text to excellent communication and collaboration skills. Role: Machine Learning Engineer Industry Type: IT Services & Consulting Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Data Science & Machine Learning Education UG: Any Graduate PG: Any Postgraduate Doctorate: Doctorate Not Required Key Skills Skills highlighted with ‘‘ are preferred keyskills AI /ML Data ScienceAzurePyTorchNLPAWSTensorFlow

Job description What we are looking for: As a Content Platform Engineer at Meltwater, you'll play a vital role in building cutting-edge social solutions for our global client base within the Explore mission We're seeking a proactive, quick-learning engineer who thrives in a collaborative environment Our culture values continuous learning, team autonomy, and a DevOps mindset. Meltwater development teams take full ownership of their subsystems and infrastructure, including running on-call rotations With a heavy reliance on Java, Kotlin, AWS/Azure, GitHub Actions, Docker, Kubernetes, Terraform, Kafka/ SQS, PostgreSQL, ElasticSearch and other technologies, we seek individuals with experience in data curation, data management, and large-scale data processing You will be joining a team that maintains a multi-million entity knowledge graph that is used to support Meltwater's entity search and entity analytics at scale. In this role, you'll have the opportunity to push the boundaries of our technology stack, from modifying open-source libraries to innovating with existing technologies If you're passionate about large scale data management & curation and finding new ways to use knowledge graphs to extract insights from vast amounts of documents, we invite you to join us in this exciting journey. What You'll Bring: Bachelors or Masters degree in Computer Science or a related field. 24 years of working experience. At least 1+ years of experience in software development, especially with Java or Kotlin. Proficiency in SQL and experience working with large databases and complex datasets. Experience (1+ years) with Cloud infrastructure & Containerization, especially AWS/Azure. Experience with at least one of the following: oTerraform oGitHub Actions oDocker oKubernetes oKafka/SQS oOpenSearch Understanding or experience working with streaming pipelines and document processing on large-scale data management systems (e.g., PostgreSQL, Elasticsearch, Kafka/SQS). Nice-to-Have Skills Experience with Python. Experience with Benthos. Strong interest or experience in data quality and data curation (e.g., record linking, outlier detection, using LLMs for data curation). Familiarity with NLP techniques (e.g., named entity recognition, disambiguation, sentiment analysis). Demonstrated ability to quickly learn new tech stacks when needed (e.g., experience with other programming languages and frameworks). Strong communication skillsability to explain complex technical problems while balancing implementation details and high-level overviews. Front-end or Full-Stack experience is a plus (e.g., JavaScript, React, AWS Amplify). Role: Blockchain Quality Assurance Engineer Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Quality Assurance and Testing Education UG: Any Graduate PG: Any Postgraduate Doctorate: Doctorate Not Required Key Skills Skills highlighted with ‘‘ are preferred keyskills Java NLPElasticsearchSQSPostgreSQLKafkaPython

Job description What We Are Looking For: Meltwaters collaborative Security Team needs a passionate Security Engineer to continue to advance Meltwaters security Working with a group of fun loving people who are genuinely excited and passionate about security, there will be more laughs than facepalms! If you believe that improving security is about constantly moving technology forward to be more secure, and shifting security tools and checks earlier in the development lifecycle, then youll feel at home on Meltwaters Security Team! At Meltwater we want to ensure that we can have autonomous, empowered and highly efficient teams Our Security Team charges head on into the challenge of ensuring our teams can maintain their autonomy without compromising the security of our systems, services and data Through enablement and collaboration with teams, Security Engineers ensure that our development and infrastructure practices have security defined, integrated and implemented in a common-sense manner that reduces risk for our business Security Engineers define best practices, build tools, implement security checks and controls together with the broader Engineering and IT teams to ensure that our employees and our customers' data stays safe. As part of this, we leverage AWS as a key component of our cloud infrastructure Security Engineers play a critical role in securing and optimizing AWS environments by implementing best practices, automating security controls, and collaborating with teams to ensure scalability, resilience, and compliance with industry standards. What Youll do: In this role, you will be designing and implementing security functions ranging from checks on IaC (Infrastructure as Code) to SAST/DAST scanners in our CI/CD pipelines You will be collaborating closely with almost every part of the Meltwater organization and help create security impact across all teams with strong support from the business. Collaborate closely with teams to help identify and implement frictionless security controls throughout the software development lifecycle Propose and implement solutions to enhance the overall cloud infrastructure and toolset. Perform ongoing security testing, including static (SAST), dynamic (DAST), and penetration testing, along with code reviews, vulnerability assessments, and regular security audits to identify risks, improve security, and develop mitigation strategies. Educate and share knowledge around secure coding practices Identify applicable industry best practices and consult with development teams on methods to continuously improve the risk posture. Build applications that improve our security posture and monitoring/alerting capabilities Implement and manage security technologies including firewalls, intrusion detection/prevention systems (IDS/IPS), endpoint protection, and security information and event management (SIEM) tools. Conduct vulnerability assessments, penetration testing, and regular security audits to identify risks and develop mitigation strategies. Monitor and respond to security incidents and alerts, performing root cause analysis and incident handling. Participate in incident response and disaster recovery planning, testing, and documentation. Manage identity and access management (IAM) solutions to enforce least privilege and role-based access controls (RBAC). Assist in the development of automated security workflows using scripting (Python, Bash, or similar). What You'll Bring: Strong collaboration skills with experience working cross functionally with a diverse group of stakeholders Strong communication skills with the ability to provide technical guidance to both technical and non-technical audiences Experience in implementing security controls early in the software development life cycle Knowledge of industry accepted security best practices/standards/policies such as NIST, OWASP, CIS, MITRE&ATT@CK Software developer experience in one or more of the following languages: JavaScript, Java, Kotlin or Python Experience in at least one public cloud provider, preferably AWS, with experience in

Job description We're seeking an experienced engineer with expertise in computer vision, deep learning, and AI to drive impactful solutions. Key Responsibilities Algorithm Development : Design and optimize computer vision and deep learning algorithms for 3D applications. Model Deployment : Setup end-end Deep Learning pipeline for data ingestion, preparation, model training, validation and deployment on edge devices after optimization to meet customer requirements Research and Innovation : Prototype new solutions based on the latest advancements in AI, machine learning, and computer vision. Cross-Functional Collaboration : Integrate algorithms into 3D rendering systems and work closely with the team to meet project goals Collaborate with hardware engineers to fine-tune models for power, latency, and throughput constraints Documentation : Maintain code quality and document solutions for easy reference. Qualifications Experience : 3 or 3+ years in computer vision, deep learning, and AI. Education : Bachelor's or Master's in Computer Science, Data Science, Electrical Engineering, or related field. Technical Skills Proficiency in C, C++, OpenGL, Objective C, Swift, Python, PyTorch, TensorFlow, and OpenCV. Understanding about depth and breadth of computer vision and deep learning algorithms. Knowledge of algorithms and data structures relevant to computer vision. Hands-on experience with NVIDIA platforms IGX, Jetson, or Xavier (Experience with NVIDIA SDKs (e.g., DeepStream, TensorRT, CUDA, TAO Toolkit) Concepts of parallel architecture on GPU is an added advantage. Knowledge in linear algebra, calculus, and statistics Preferred : Knowledge of AR/VR, 3D vision, and AWS (SageMaker, Lambda, EC2, S3, RDS), CI/CD, Terraform, Docker, and Kubernetes) Role: Blockchain Quality Assurance Engineer Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Quality Assurance and Testing Education UG: Any Graduate PG: Any Postgraduate Doctorate: Doctorate Not Required Key Skills Skills highlighted with ‘‘ are preferred keyskills Computer Vision objective cdeep learningpythonc++cpytorchopenglopencvartificial intelligenceTensorFlowswift