3440 Versioning Jobs - Page 29

Role : ML Ops Support Engineer *Job description:* We are looking for a skilled MLOps Support Engineer to join our team. This role involves monitoring and managing ML model operational pipelines in AzureML and MLflow, with an emphasis on automation, integration validation, and CI/CD pipeline management. The ideal candidate will be technically sound in Python, Azure CLI, and MLOps tools, and capable of ensuring stability and reliability in model deployment lifecycles. *Objectives of the role:*  Support and monitor MLOps pipelines in AzureML and MLflow  Manage CI/CD pipelines for model deployment and updates  Handle model registry processes, ensuring best practices for versioning and tracking  Perform testing & validation of integrated endpoints to ensure non-functional stability  Automate monitoring and upkeep of ML pipelines to relieve the data science team  Troubleshoot and resolve pipeline and integration-related issues *Responsibilities:*  Support production ML pipelines using AzureML and MLflow  Configure and manage model versioning and registry lifecycle  Automate alerts, monitoring tasks, and routine pipeline operations  Validate REST API endpoints for ML models  Implement CI/CD workflows for ML deployments  Document and troubleshoot operational issues related to ML services  Collaborate with data scientists and platform teams to ensure delivery continuity *Required Skills & Qualifications:*  Proficiency in AzureML, MLflow, and Databricks  Strong command over Python  Experience with Azure CLI and scripting  Good understanding of CI/CD practices in MLOps  Knowledge of model registry management and deployment validation  3–5 years of relevant experience in MLOps environments Skills that are good to have, but not mandatory:  Exposure to monitoring tools (e.g., Azure Monitor, Prometheus)  Experience with REST API testing (e.g., Postman)  Familiarity with Docker/Kubernetes in ML deployments

Job Description Title: Dashboard Developer - Manager Job Type: Full-time Tenure: Permanent Location: Gurgaon, India Education: Bachelor’s degree in computer science, Data Science, or related field About Us Research Partnership (part of Inizio Advisory ) is one of the world’s largest pharma market research and consulting agencies, with 250+ researchers, consultants, and support staff across London, Lyon, New York, Philadelphia, San Francisco, Singapore, and Delhi. As individuals with diverse backgrounds and shared values, we create work that: Makes a difference to human health Celebrate progress through innovation Puts people at the centre of everything we do About The Team The Data Delivery & Dashboards Team sits within the new Data Management & Delivery division in Gurgaon. Our mission is to turn complex healthcare datasets into clear, interactive dashboards that power smarter decisions for clients worldwide. Your Primary Role As a Dashboard Developer Manager , you will design, build, and maintain high impact dashboards and data visualizations that transform raw market research data into actionable insights. You’ll collaborate with researchers, analysts, and engineers to ensure data flows seamlessly from collections to visual storytelling. Key Responsibilities Develop and maintain interactive dashboards using Power BI, Tableau, or comparable BI tools. Translate project requirements into intuitive, performance optimized visual stories. Collaborate with Scripting and Data Processing teams to streamline end-to-end data workflows. Ensure data accuracy, responsiveness, and adherence to security protocols. Automate reporting processes and maintain version control and documentation. Stay abreast of BI trends and embed best practices in visualization and storytelling. Technical Expertise Backend Development PHP 6+ (6+ years) | Frameworks: Laravel, CodeIgniter or similar MVC Frameworks REST & SOAP API design for seamless data connectivity Database Expertise PostgreSQL, MySQL, MS SQL | Advanced querying & optimization Bigdata engines: Google Big Query, AWS Athena Strong data modelling skills for real-time dashboard performance Frontend / Visualization HTML, CSS, JavaScript with React, Vue.js, jQuery Responsive UI with Bootstrap & Blade templating Visual libraries: Chart.js, D3.js, High Charts, Google Charts Cloud & DevOps AWS & Google Cloud deployment and data processing Containers: Docker, Vagrant, VirtualBox CI/CD: Jenkins, CircleCI, GitHub Actions Caching & Performance Redis, Memcached for low latency, high volume dashboards Security & Code Quality Data access control and role based permissions PHP Unit testing, Git/SVN versioning, clean documentation Agile collaboration via JIRA, Confluence, Slack Required Qualifications 6–8 years of hands-on BI/dashboard development Proven experience across the full data to dashboard lifecycle Healthcare or market research background preferred Ideal Profile Detail oriented visual storyteller with a proactive, problem-solving mindset Strong communicator, comfortable with technical and nontechnical audiences Collaborative team player eager to learn and innovate in a global setting Life at Research Partnership We love what we do and continuously strive for innovation and creativity. We believe everyone should continuously be learning and provide: A comprehensive training and development program for all staff, from entry level apprentice to senior management Opportunities for international travel and collaboration A relaxed and friendly working environment About Inizio Advisory: Research Partnership is part of Inizio Advisory, a trusted advisor for pharmaceutical and life science companies that turns science into strategy, supporting execution at every stage of the product and patient journey from early commercialization to launch and beyond. Offering market research and insights; strategy; people and transformation consulting; and commercial benchmarking delivered through sector specific connected solutions and intelligence, Inizio Advisory helps create long-term value for clients and their patients. Don't meet every job requirement? That's okay! Our company is dedicated to building a diverse, inclusive, and authentic workplace. If you're excited about this role, but your experience doesn't perfectly fit every qualification, we encourage you to apply anyway. You may be just the right person for this role or others.

JOB DESCRIPTION Roles & responsibilities Here are some of the key responsibilities of AI Research Scientist: Develop the overarching technical vision for AI systems that support both current and future business needs. Architect end-to-end AI applications, ensuring integration with legacy systems, enterprise data platforms, and microservices. Work closely with business analysts and domain experts to translate business objectives into technical requirements and AI-driven solutions and applications. Partner with product management to design agile project roadmaps, aligning technical strategy with market needs. Coordinate with data engineering teams to ensure smooth data flows, quality, and governance across data sources. Lead the design of reference architectures, roadmaps, and best practices for AI applications. Evaluate emerging technologies and methodologies, recommending proven innovations that can be integrated into the organizational strategy. Identify and define system components such as data ingestion pipelines, model training environments, continuous integration/continuous deployment (CI/CD) frameworks, and monitoring systems. Utilize containerization (Docker, Kubernetes) and cloud services to streamline the deployment and scaling of AI systems. Implement robust versioning, rollback, and monitoring mechanisms that ensure system stability, reliability, and performance. Ensure the architecture supports scalability, reliability, maintainability, and security best practices. Project Management: You will oversee the planning, execution, and delivery of AI and ML applications, ensuring that they are completed within budget and timeline constraints. This includes project management defining project goals, allocating resources, and managing risks. Oversee the lifecycle of AI application development—from conceptualization and design to development, testing, deployment, and post-PROD optimization. Enforce security best practices during each phase of development, with a focus on data privacy, user security, and risk mitigation. Provide mentorship to engineering teams and foster a culture of continuous learning. Lead technical knowledge-sharing sessions and workshops to keep teams up-to-date on the latest advances in generative AI and architectural best practices. Mandatory technical & functional skills The ideal candidate should have a strong background in working or developing agents using langgraph, autogen, and CrewAI. Proficiency in Python, with robust knowledge of machine learning libraries and frameworks such as TensorFlow, PyTorch, and Keras. Proven experience with cloud computing platforms (AWS, Azure, Google Cloud Platform) for building and deploying scalable AI solutions. Hands-on skills with containerization (Docker) and orchestration frameworks (Kubernetes), including related DevOps tools like Jenkins and GitLab CI/CD. Experience using Infrastructure as Code (IaC) tools such as Terraform or CloudFormation to automate cloud deployments. Proficient in SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra) to manage structured and unstructured data. Expertise in designing distributed systems, RESTful APIs, GraphQL integrations, and microservices architecture. - Knowledge of event-driven architectures and message brokers (e.g., RabbitMQ, Apache Kafka) to support robust inter-system communications. Preferred Technical & Functional Skills Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK Stack) to ensure system reliability and operational performance. Familiarity with cutting-edge libraries such as Hugging Face Transformers, OpenAI’s API integrations, and other domain-specific tools. Large scale deployment of ML projects, with good understanding of DevOps /MLOps /LLM Ops Training and fine tuning of Large Language Models or SLMs (PALM2, GPT4, LLAMA etc ) Key behavioral attributes/requirements Ability to mentor junior developers Ability to own project deliverables and contribute towards risk mitigation Understand business objectives and functions to support data needs RESPONSIBILITIES Roles & responsibilities Here are some of the key responsibilities of AI architect: Develop the overarching technical vision for AI systems that support both current and future business needs. Architect end-to-end AI applications, ensuring integration with legacy systems, enterprise data platforms, and microservices. Work closely with business analysts and domain experts to translate business objectives into technical requirements and AI-driven solutions and applications. Partner with product management to design agile project roadmaps, aligning technical strategy with market needs. Coordinate with data engineering teams to ensure smooth data flows, quality, and governance across data sources. Lead the design of reference architectures, roadmaps, and best practices for AI applications. Evaluate emerging technologies and methodologies, recommending proven innovations that can be integrated into the organizational strategy. Identify and define system components such as data ingestion pipelines, model training environments, continuous integration/continuous deployment (CI/CD) frameworks, and monitoring systems. Utilize containerization (Docker, Kubernetes) and cloud services to streamline the deployment and scaling of AI systems. Implement robust versioning, rollback, and monitoring mechanisms that ensure system stability, reliability, and performance. Ensure the architecture supports scalability, reliability, maintainability, and security best practices. Project Management: You will oversee the planning, execution, and delivery of AI and ML applications, ensuring that they are completed within budget and timeline constraints. This includes project management defining project goals, allocating resources, and managing risks. Oversee the lifecycle of AI application development—from conceptualization and design to development, testing, deployment, and post-PROD optimization. Enforce security best practices during each phase of development, with a focus on data privacy, user security, and risk mitigation. Provide mentorship to engineering teams and foster a culture of continuous learning. Lead technical knowledge-sharing sessions and workshops to keep teams up-to-date on the latest advances in generative AI and architectural best practices. Mandatory technical & functional skills The ideal candidate should have a strong background in working or developing agents using langgraph, autogen, and CrewAI. Proficiency in Python, with robust knowledge of machine learning libraries and frameworks such as TensorFlow, PyTorch, and Keras. Proven experience with cloud computing platforms (AWS, Azure, Google Cloud Platform) for building and deploying scalable AI solutions. Hands-on skills with containerization (Docker) and orchestration frameworks (Kubernetes), including related DevOps tools like Jenkins and GitLab CI/CD. Experience using Infrastructure as Code (IaC) tools such as Terraform or CloudFormation to automate cloud deployments. Proficient in SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra) to manage structured and unstructured data. Expertise in designing distributed systems, RESTful APIs, GraphQL integrations, and microservices architecture. - Knowledge of event-driven architectures and message brokers (e.g., RabbitMQ, Apache Kafka) to support robust inter-system communications. Preferred Technical & Functional Skills Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK Stack) to ensure system reliability and operational performance. Familiarity with cutting-edge libraries such as Hugging Face Transformers, OpenAI’s API integrations, and other domain-specific tools. Large scale deployment of ML projects, with good understanding of DevOps /MLOps /LLM Ops Training and fine tuning of Large Language Models or SLMs (PALM2, GPT4, LLAMA etc ) Key behavioral attributes/requirements Ability to mentor junior developers Ability to own project deliverables and contribute towards risk mitigation Understand business objectives and functions to support data needs #KGS QUALIFICATIONS This role is for you if you have the below Educational Qualifications Bachelor’s/Master’s degree in Computer Science Certifications in Cloud technologies (AWS, Azure, GCP) and TOGAF certification (good to have) Work experience: 11 to 14 Years of Experience #KGS

JOB DESCRIPTION Roles & responsibilities Here are some of the key responsibilities of AI architect: Develop the overarching technical vision for AI systems that support both current and future business needs. Architect end-to-end AI applications, ensuring integration with legacy systems, enterprise data platforms, and microservices. Work closely with business analysts and domain experts to translate business objectives into technical requirements and AI-driven solutions and applications. Partner with product management to design agile project roadmaps, aligning technical strategy with market needs. Coordinate with data engineering teams to ensure smooth data flows, quality, and governance across data sources. Lead the design of reference architectures, roadmaps, and best practices for AI applications. Evaluate emerging technologies and methodologies, recommending proven innovations that can be integrated into the organizational strategy. Identify and define system components such as data ingestion pipelines, model training environments, continuous integration/continuous deployment (CI/CD) frameworks, and monitoring systems. Utilize containerization (Docker, Kubernetes) and cloud services to streamline the deployment and scaling of AI systems. Implement robust versioning, rollback, and monitoring mechanisms that ensure system stability, reliability, and performance. Ensure the architecture supports scalability, reliability, maintainability, and security best practices. Project Management: You will oversee the planning, execution, and delivery of AI and ML applications, ensuring that they are completed within budget and timeline constraints. This includes project management defining project goals, allocating resources, and managing risks. Oversee the lifecycle of AI application development—from conceptualization and design to development, testing, deployment, and post-PROD optimization. Enforce security best practices during each phase of development, with a focus on data privacy, user security, and risk mitigation. Provide mentorship to engineering teams and foster a culture of continuous learning. Lead technical knowledge-sharing sessions and workshops to keep teams up-to-date on the latest advances in generative AI and architectural best practices. Mandatory technical & functional skills The ideal candidate should have a strong background in working or developing agents using langgraph, autogen, and CrewAI. Proficiency in Python, with robust knowledge of machine learning libraries and frameworks such as TensorFlow, PyTorch, and Keras. Proven experience with cloud computing platforms (AWS, Azure, Google Cloud Platform) for building and deploying scalable AI solutions. Hands-on skills with containerization (Docker) and orchestration frameworks (Kubernetes), including related DevOps tools like Jenkins and GitLab CI/CD. Experience using Infrastructure as Code (IaC) tools such as Terraform or CloudFormation to automate cloud deployments. Proficient in SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra) to manage structured and unstructured data. Expertise in designing distributed systems, RESTful APIs, GraphQL integrations, and microservices architecture. - Knowledge of event-driven architectures and message brokers (e.g., RabbitMQ, Apache Kafka) to support robust inter-system communications. Preferred Technical & Functional Skills Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK Stack) to ensure system reliability and operational performance. Familiarity with cutting-edge libraries such as Hugging Face Transformers, OpenAI’s API integrations, and other domain-specific tools. Large scale deployment of ML projects, with good understanding of DevOps /MLOps /LLM Ops Training and fine tuning of Large Language Models or SLMs (PALM2, GPT4, LLAMA etc ) Key behavioral attributes/requirements Ability to mentor junior developers Ability to own project deliverables and contribute towards risk mitigation Understand business objectives and functions to support data needs RESPONSIBILITIES Roles & responsibilities Here are some of the key responsibilities of AI architect: Develop the overarching technical vision for AI systems that support both current and future business needs. Architect end-to-end AI applications, ensuring integration with legacy systems, enterprise data platforms, and microservices. Work closely with business analysts and domain experts to translate business objectives into technical requirements and AI-driven solutions and applications. Partner with product management to design agile project roadmaps, aligning technical strategy with market needs. Coordinate with data engineering teams to ensure smooth data flows, quality, and governance across data sources. Lead the design of reference architectures, roadmaps, and best practices for AI applications. Evaluate emerging technologies and methodologies, recommending proven innovations that can be integrated into the organizational strategy. Identify and define system components such as data ingestion pipelines, model training environments, continuous integration/continuous deployment (CI/CD) frameworks, and monitoring systems. Utilize containerization (Docker, Kubernetes) and cloud services to streamline the deployment and scaling of AI systems. Implement robust versioning, rollback, and monitoring mechanisms that ensure system stability, reliability, and performance. Ensure the architecture supports scalability, reliability, maintainability, and security best practices. Project Management: You will oversee the planning, execution, and delivery of AI and ML applications, ensuring that they are completed within budget and timeline constraints. This includes project management defining project goals, allocating resources, and managing risks. Oversee the lifecycle of AI application development—from conceptualization and design to development, testing, deployment, and post-PROD optimization. Enforce security best practices during each phase of development, with a focus on data privacy, user security, and risk mitigation. Provide mentorship to engineering teams and foster a culture of continuous learning. Lead technical knowledge-sharing sessions and workshops to keep teams up-to-date on the latest advances in generative AI and architectural best practices. Mandatory technical & functional skills The ideal candidate should have a strong background in working or developing agents using langgraph, autogen, and CrewAI. Proficiency in Python, with robust knowledge of machine learning libraries and frameworks such as TensorFlow, PyTorch, and Keras. Proven experience with cloud computing platforms (AWS, Azure, Google Cloud Platform) for building and deploying scalable AI solutions. Hands-on skills with containerization (Docker) and orchestration frameworks (Kubernetes), including related DevOps tools like Jenkins and GitLab CI/CD. Experience using Infrastructure as Code (IaC) tools such as Terraform or CloudFormation to automate cloud deployments. Proficient in SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra) to manage structured and unstructured data. Expertise in designing distributed systems, RESTful APIs, GraphQL integrations, and microservices architecture. - Knowledge of event-driven architectures and message brokers (e.g., RabbitMQ, Apache Kafka) to support robust inter-system communications. Preferred Technical & Functional Skills Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK Stack) to ensure system reliability and operational performance. Familiarity with cutting-edge libraries such as Hugging Face Transformers, OpenAI’s API integrations, and other domain-specific tools. Large scale deployment of ML projects, with good understanding of DevOps /MLOps /LLM Ops Training and fine tuning of Large Language Models or SLMs (PALM2, GPT4, LLAMA etc ) Key behavioral attributes/requirements Ability to mentor junior developers Ability to own project deliverables and contribute towards risk mitigation Understand business objectives and functions to support data needs #KGS QUALIFICATIONS This role is for you if you have the below Educational Qualifications Bachelor’s/Master’s degree in Computer Science Certifications in Cloud technologies (AWS, Azure, GCP) and TOGAF certification (good to have) Work experience: 11 to 14 Years of Experience #KGS

JOB DESCRIPTION Roles & responsibilities Here are some of the key responsibilities of AI Product Manager: Develop the overarching technical vision for AI systems that support both current and future business needs. Architect end-to-end AI applications, ensuring integration with legacy systems, enterprise data platforms, and microservices. Work closely with business analysts and domain experts to translate business objectives into technical requirements and AI-driven solutions and applications. Partner with product management to design agile project roadmaps, aligning technical strategy with market needs. Coordinate with data engineering teams to ensure smooth data flows, quality, and governance across data sources. Lead the design of reference architectures, roadmaps, and best practices for AI applications. Evaluate emerging technologies and methodologies, recommending proven innovations that can be integrated into the organizational strategy. Identify and define system components such as data ingestion pipelines, model training environments, continuous integration/continuous deployment (CI/CD) frameworks, and monitoring systems. Utilize containerization (Docker, Kubernetes) and cloud services to streamline the deployment and scaling of AI systems. Implement robust versioning, rollback, and monitoring mechanisms that ensure system stability, reliability, and performance. Ensure the architecture supports scalability, reliability, maintainability, and security best practices. Project Management: You will oversee the planning, execution, and delivery of AI and ML applications, ensuring that they are completed within budget and timeline constraints. This includes project management defining project goals, allocating resources, and managing risks. Oversee the lifecycle of AI application development—from conceptualization and design to development, testing, deployment, and post-PROD optimization. Enforce security best practices during each phase of development, with a focus on data privacy, user security, and risk mitigation. Provide mentorship to engineering teams and foster a culture of continuous learning. Lead technical knowledge-sharing sessions and workshops to keep teams up-to-date on the latest advances in generative AI and architectural best practices. Mandatory technical & functional skills The ideal candidate should have a strong background in working or developing agents using langgraph, autogen, and CrewAI. Proficiency in Python, with robust knowledge of machine learning libraries and frameworks such as TensorFlow, PyTorch, and Keras. Proven experience with cloud computing platforms (AWS, Azure, Google Cloud Platform) for building and deploying scalable AI solutions. Hands-on skills with containerization (Docker) and orchestration frameworks (Kubernetes), including related DevOps tools like Jenkins and GitLab CI/CD. Experience using Infrastructure as Code (IaC) tools such as Terraform or CloudFormation to automate cloud deployments. Proficient in SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra) to manage structured and unstructured data. Expertise in designing distributed systems, RESTful APIs, GraphQL integrations, and microservices architecture. - Knowledge of event-driven architectures and message brokers (e.g., RabbitMQ, Apache Kafka) to support robust inter-system communications. Preferred Technical & Functional Skills Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK Stack) to ensure system reliability and operational performance. Familiarity with cutting-edge libraries such as Hugging Face Transformers, OpenAI’s API integrations, and other domain-specific tools. Large scale deployment of ML projects, with good understanding of DevOps /MLOps /LLM Ops Training and fine tuning of Large Language Models or SLMs (PALM2, GPT4, LLAMA etc ) Key behavioral attributes/requirements Ability to mentor junior developers Ability to own project deliverables and contribute towards risk mitigation Understand business objectives and functions to support data needs RESPONSIBILITIES Roles & responsibilities Here are some of the key responsibilities of AI Product Manager: Develop the overarching technical vision for AI systems that support both current and future business needs. Architect end-to-end AI applications, ensuring integration with legacy systems, enterprise data platforms, and microservices. Work closely with business analysts and domain experts to translate business objectives into technical requirements and AI-driven solutions and applications. Partner with product management to design agile project roadmaps, aligning technical strategy with market needs. Coordinate with data engineering teams to ensure smooth data flows, quality, and governance across data sources. Lead the design of reference architectures, roadmaps, and best practices for AI applications. Evaluate emerging technologies and methodologies, recommending proven innovations that can be integrated into the organizational strategy. Identify and define system components such as data ingestion pipelines, model training environments, continuous integration/continuous deployment (CI/CD) frameworks, and monitoring systems. Utilize containerization (Docker, Kubernetes) and cloud services to streamline the deployment and scaling of AI systems. Implement robust versioning, rollback, and monitoring mechanisms that ensure system stability, reliability, and performance. Ensure the architecture supports scalability, reliability, maintainability, and security best practices. Project Management: You will oversee the planning, execution, and delivery of AI and ML applications, ensuring that they are completed within budget and timeline constraints. This includes project management defining project goals, allocating resources, and managing risks. Oversee the lifecycle of AI application development—from conceptualization and design to development, testing, deployment, and post-PROD optimization. Enforce security best practices during each phase of development, with a focus on data privacy, user security, and risk mitigation. Provide mentorship to engineering teams and foster a culture of continuous learning. Lead technical knowledge-sharing sessions and workshops to keep teams up-to-date on the latest advances in generative AI and architectural best practices. Mandatory technical & functional skills The ideal candidate should have a strong background in working or developing agents using langgraph, autogen, and CrewAI. Proficiency in Python, with robust knowledge of machine learning libraries and frameworks such as TensorFlow, PyTorch, and Keras. Proven experience with cloud computing platforms (AWS, Azure, Google Cloud Platform) for building and deploying scalable AI solutions. Hands-on skills with containerization (Docker) and orchestration frameworks (Kubernetes), including related DevOps tools like Jenkins and GitLab CI/CD. Experience using Infrastructure as Code (IaC) tools such as Terraform or CloudFormation to automate cloud deployments. Proficient in SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra) to manage structured and unstructured data. Expertise in designing distributed systems, RESTful APIs, GraphQL integrations, and microservices architecture. - Knowledge of event-driven architectures and message brokers (e.g., RabbitMQ, Apache Kafka) to support robust inter-system communications. Preferred Technical & Functional Skills Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK Stack) to ensure system reliability and operational performance. Familiarity with cutting-edge libraries such as Hugging Face Transformers, OpenAI’s API integrations, and other domain-specific tools. Large scale deployment of ML projects, with good understanding of DevOps /MLOps /LLM Ops Training and fine tuning of Large Language Models or SLMs (PALM2, GPT4, LLAMA etc ) Key behavioral attributes/requirements Ability to mentor junior developers Ability to own project deliverables and contribute towards risk mitigation Understand business objectives and functions to support data needs #KGS QUALIFICATIONS This role is for you if you have the below Educational Qualifications Bachelor’s/Master’s degree in Computer Science Certifications in Cloud technologies (AWS, Azure, GCP) and TOGAF certification (good to have) Work experience: 11 to 14 Years of Experience #KGS

JOB DESCRIPTION Roles & responsibilities Here are some of the key responsibilities of AI architect: Develop the overarching technical vision for AI systems that support both current and future business needs. Architect end-to-end AI applications, ensuring integration with legacy systems, enterprise data platforms, and microservices. Work closely with business analysts and domain experts to translate business objectives into technical requirements and AI-driven solutions and applications. Partner with product management to design agile project roadmaps, aligning technical strategy with market needs. Coordinate with data engineering teams to ensure smooth data flows, quality, and governance across data sources. Lead the design of reference architectures, roadmaps, and best practices for AI applications. Evaluate emerging technologies and methodologies, recommending proven innovations that can be integrated into the organizational strategy. Identify and define system components such as data ingestion pipelines, model training environments, continuous integration/continuous deployment (CI/CD) frameworks, and monitoring systems. Utilize containerization (Docker, Kubernetes) and cloud services to streamline the deployment and scaling of AI systems. Implement robust versioning, rollback, and monitoring mechanisms that ensure system stability, reliability, and performance. Ensure the architecture supports scalability, reliability, maintainability, and security best practices. Project Management: You will oversee the planning, execution, and delivery of AI and ML applications, ensuring that they are completed within budget and timeline constraints. This includes project management defining project goals, allocating resources, and managing risks. Oversee the lifecycle of AI application development—from conceptualization and design to development, testing, deployment, and post-PROD optimization. Enforce security best practices during each phase of development, with a focus on data privacy, user security, and risk mitigation. Provide mentorship to engineering teams and foster a culture of continuous learning. Lead technical knowledge-sharing sessions and workshops to keep teams up-to-date on the latest advances in generative AI and architectural best practices. Mandatory technical & functional skills The ideal candidate should have a strong background in working or developing agents using langgraph, autogen, and CrewAI. Proficiency in Python, with robust knowledge of machine learning libraries and frameworks such as TensorFlow, PyTorch, and Keras. Proven experience with cloud computing platforms (AWS, Azure, Google Cloud Platform) for building and deploying scalable AI solutions. Hands-on skills with containerization (Docker) and orchestration frameworks (Kubernetes), including related DevOps tools like Jenkins and GitLab CI/CD. Experience using Infrastructure as Code (IaC) tools such as Terraform or CloudFormation to automate cloud deployments. Proficient in SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra) to manage structured and unstructured data. Expertise in designing distributed systems, RESTful APIs, GraphQL integrations, and microservices architecture. - Knowledge of event-driven architectures and message brokers (e.g., RabbitMQ, Apache Kafka) to support robust inter-system communications. Preferred Technical & Functional Skills Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK Stack) to ensure system reliability and operational performance. Familiarity with cutting-edge libraries such as Hugging Face Transformers, OpenAI’s API integrations, and other domain-specific tools. Large scale deployment of ML projects, with good understanding of DevOps /MLOps /LLM Ops Training and fine tuning of Large Language Models or SLMs (PALM2, GPT4, LLAMA etc ) Key behavioral attributes/requirements Ability to mentor junior developers Ability to own project deliverables and contribute towards risk mitigation Understand business objectives and functions to support data needs RESPONSIBILITIES Roles & responsibilities Here are some of the key responsibilities of AI architect: Develop the overarching technical vision for AI systems that support both current and future business needs. Architect end-to-end AI applications, ensuring integration with legacy systems, enterprise data platforms, and microservices. Work closely with business analysts and domain experts to translate business objectives into technical requirements and AI-driven solutions and applications. Partner with product management to design agile project roadmaps, aligning technical strategy with market needs. Coordinate with data engineering teams to ensure smooth data flows, quality, and governance across data sources. Lead the design of reference architectures, roadmaps, and best practices for AI applications. Evaluate emerging technologies and methodologies, recommending proven innovations that can be integrated into the organizational strategy. Identify and define system components such as data ingestion pipelines, model training environments, continuous integration/continuous deployment (CI/CD) frameworks, and monitoring systems. Utilize containerization (Docker, Kubernetes) and cloud services to streamline the deployment and scaling of AI systems. Implement robust versioning, rollback, and monitoring mechanisms that ensure system stability, reliability, and performance. Ensure the architecture supports scalability, reliability, maintainability, and security best practices. Project Management: You will oversee the planning, execution, and delivery of AI and ML applications, ensuring that they are completed within budget and timeline constraints. This includes project management defining project goals, allocating resources, and managing risks. Oversee the lifecycle of AI application development—from conceptualization and design to development, testing, deployment, and post-PROD optimization. Enforce security best practices during each phase of development, with a focus on data privacy, user security, and risk mitigation. Provide mentorship to engineering teams and foster a culture of continuous learning. Lead technical knowledge-sharing sessions and workshops to keep teams up-to-date on the latest advances in generative AI and architectural best practices. Mandatory technical & functional skills The ideal candidate should have a strong background in working or developing agents using langgraph, autogen, and CrewAI. Proficiency in Python, with robust knowledge of machine learning libraries and frameworks such as TensorFlow, PyTorch, and Keras. Proven experience with cloud computing platforms (AWS, Azure, Google Cloud Platform) for building and deploying scalable AI solutions. Hands-on skills with containerization (Docker) and orchestration frameworks (Kubernetes), including related DevOps tools like Jenkins and GitLab CI/CD. Experience using Infrastructure as Code (IaC) tools such as Terraform or CloudFormation to automate cloud deployments. Proficient in SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra) to manage structured and unstructured data. Expertise in designing distributed systems, RESTful APIs, GraphQL integrations, and microservices architecture. - Knowledge of event-driven architectures and message brokers (e.g., RabbitMQ, Apache Kafka) to support robust inter-system communications. Preferred Technical & Functional Skills Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK Stack) to ensure system reliability and operational performance. Familiarity with cutting-edge libraries such as Hugging Face Transformers, OpenAI’s API integrations, and other domain-specific tools. Large scale deployment of ML projects, with good understanding of DevOps /MLOps /LLM Ops Training and fine tuning of Large Language Models or SLMs (PALM2, GPT4, LLAMA etc ) Key behavioral attributes/requirements Ability to mentor junior developers Ability to own project deliverables and contribute towards risk mitigation Understand business objectives and functions to support data needs #KGS QUALIFICATIONS This role is for you if you have the below Educational Qualifications Bachelor’s/Master’s degree in Computer Science Certifications in Cloud technologies (AWS, Azure, GCP) and TOGAF certification (good to have) Work experience: 11 to 14 Years of Experience #KGS

JOB DESCRIPTION Roles & responsibilities Here are some of the key responsibilities of AI Azure Architect: Develop the overarching technical vision for AI systems that support both current and future business needs. Architect end-to-end AI applications, ensuring integration with legacy systems, enterprise data platforms, and microservices. Work closely with business analysts and domain experts to translate business objectives into technical requirements and AI-driven solutions and applications. Partner with product management to design agile project roadmaps, aligning technical strategy with market needs. Coordinate with data engineering teams to ensure smooth data flows, quality, and governance across data sources. Lead the design of reference architectures, roadmaps, and best practices for AI applications. Evaluate emerging technologies and methodologies, recommending proven innovations that can be integrated into the organizational strategy. Identify and define system components such as data ingestion pipelines, model training environments, continuous integration/continuous deployment (CI/CD) frameworks, and monitoring systems. Utilize containerization (Docker, Kubernetes) and cloud services to streamline the deployment and scaling of AI systems. Implement robust versioning, rollback, and monitoring mechanisms that ensure system stability, reliability, and performance. Ensure the architecture supports scalability, reliability, maintainability, and security best practices. Project Management: You will oversee the planning, execution, and delivery of AI and ML applications, ensuring that they are completed within budget and timeline constraints. This includes project management defining project goals, allocating resources, and managing risks. Oversee the lifecycle of AI application development—from conceptualization and design to development, testing, deployment, and post-PROD optimization. Enforce security best practices during each phase of development, with a focus on data privacy, user security, and risk mitigation. Provide mentorship to engineering teams and foster a culture of continuous learning. Lead technical knowledge-sharing sessions and workshops to keep teams up-to-date on the latest advances in generative AI and architectural best practices. Mandatory technical & functional skills The ideal candidate should have a strong background in working or developing agents using langgraph, autogen, and CrewAI. Proficiency in Python, with robust knowledge of machine learning libraries and frameworks such as TensorFlow, PyTorch, and Keras. Proven experience with cloud computing platforms (AWS, Azure, Google Cloud Platform) for building and deploying scalable AI solutions. Hands-on skills with containerization (Docker) and orchestration frameworks (Kubernetes), including related DevOps tools like Jenkins and GitLab CI/CD. Experience using Infrastructure as Code (IaC) tools such as Terraform or CloudFormation to automate cloud deployments. Proficient in SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra) to manage structured and unstructured data. Expertise in designing distributed systems, RESTful APIs, GraphQL integrations, and microservices architecture. - Knowledge of event-driven architectures and message brokers (e.g., RabbitMQ, Apache Kafka) to support robust inter-system communications. Preferred Technical & Functional Skills Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK Stack) to ensure system reliability and operational performance. Familiarity with cutting-edge libraries such as Hugging Face Transformers, OpenAI’s API integrations, and other domain-specific tools. Large scale deployment of ML projects, with good understanding of DevOps /MLOps /LLM Ops Training and fine tuning of Large Language Models or SLMs (PALM2, GPT4, LLAMA etc ) Key behavioral attributes/requirements Ability to mentor junior developers Ability to own project deliverables and contribute towards risk mitigation Understand business objectives and functions to support data needs RESPONSIBILITIES Roles & responsibilities Here are some of the key responsibilities of AI Azure Architect: Develop the overarching technical vision for AI systems that support both current and future business needs. Architect end-to-end AI applications, ensuring integration with legacy systems, enterprise data platforms, and microservices. Work closely with business analysts and domain experts to translate business objectives into technical requirements and AI-driven solutions and applications. Partner with product management to design agile project roadmaps, aligning technical strategy with market needs. Coordinate with data engineering teams to ensure smooth data flows, quality, and governance across data sources. Lead the design of reference architectures, roadmaps, and best practices for AI applications. Evaluate emerging technologies and methodologies, recommending proven innovations that can be integrated into the organizational strategy. Identify and define system components such as data ingestion pipelines, model training environments, continuous integration/continuous deployment (CI/CD) frameworks, and monitoring systems. Utilize containerization (Docker, Kubernetes) and cloud services to streamline the deployment and scaling of AI systems. Implement robust versioning, rollback, and monitoring mechanisms that ensure system stability, reliability, and performance. Ensure the architecture supports scalability, reliability, maintainability, and security best practices. Project Management: You will oversee the planning, execution, and delivery of AI and ML applications, ensuring that they are completed within budget and timeline constraints. This includes project management defining project goals, allocating resources, and managing risks. Oversee the lifecycle of AI application development—from conceptualization and design to development, testing, deployment, and post-PROD optimization. Enforce security best practices during each phase of development, with a focus on data privacy, user security, and risk mitigation. Provide mentorship to engineering teams and foster a culture of continuous learning. Lead technical knowledge-sharing sessions and workshops to keep teams up-to-date on the latest advances in generative AI and architectural best practices. Mandatory technical & functional skills The ideal candidate should have a strong background in working or developing agents using langgraph, autogen, and CrewAI. Proficiency in Python, with robust knowledge of machine learning libraries and frameworks such as TensorFlow, PyTorch, and Keras. Proven experience with cloud computing platforms (AWS, Azure, Google Cloud Platform) for building and deploying scalable AI solutions. Hands-on skills with containerization (Docker) and orchestration frameworks (Kubernetes), including related DevOps tools like Jenkins and GitLab CI/CD. Experience using Infrastructure as Code (IaC) tools such as Terraform or CloudFormation to automate cloud deployments. Proficient in SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra) to manage structured and unstructured data. Expertise in designing distributed systems, RESTful APIs, GraphQL integrations, and microservices architecture. - Knowledge of event-driven architectures and message brokers (e.g., RabbitMQ, Apache Kafka) to support robust inter-system communications. Preferred Technical & Functional Skills Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK Stack) to ensure system reliability and operational performance. Familiarity with cutting-edge libraries such as Hugging Face Transformers, OpenAI’s API integrations, and other domain-specific tools. Large scale deployment of ML projects, with good understanding of DevOps /MLOps /LLM Ops Training and fine tuning of Large Language Models or SLMs (PALM2, GPT4, LLAMA etc ) Key behavioral attributes/requirements Ability to mentor junior developers Ability to own project deliverables and contribute towards risk mitigation Understand business objectives and functions to support data needs #KGS QUALIFICATIONS This role is for you if you have the below Educational Qualifications Bachelor’s/Master’s degree in Computer Science Certifications in Cloud technologies (AWS, Azure, GCP) and TOGAF certification (good to have) Work experience: 11 to 14 Years of Experience #KGS

🎬 We're Hiring: Video Editor (Full-Time – Chennai) 🏢 About Become® Become® is a strategic brand design studio that partners with high-potential organizations to unlock their most effective market positioning. We collaborate with leadership teams during pivotal phases—growth, pivot, merger—to align brand with business goals. Operating at the intersection of strategy, design, business, and societal impact, we believe design is a deliberate representation of intent. Since 2017, we’ve co-created over 200+ impactful brand stories across B2B, SaaS, FMCG, HR Tech, Cybersecurity, and Health Tech sectors. 🎥 About the Role We’re looking for a committed and imaginative video editor —someone who believes the edit table is where stories truly begin. You’ll work closely with our cross-functional creative team to shape compelling narratives across formats and platforms. 🎯 You’ll Work With Writers Designers Strategists Marketers Entrepreneurs Fellow video editors Cinematographers 🌟 It’s Great if You Are 🎓 A learner first—always hungry for new perspectives, tools, and techniques 🧠 A storyteller who knows editing can turn a good idea into a great one 👀 Someone who sees stories in the ordinary and elevates them 🗣️ Bold enough to voice ideas, open enough to hear others out 🤝 Eager to co-create with fellow editors and diverse creators 🗂️ Obsessed with process—file hygiene, backups, versioning, smooth handovers 🔧 What You’ll Do ✂️ Cut brand films, reels, explainers, interviews, and everything in between 🧩 Collaborate with writers, designers, and strategists to shape narratives 🎞️ Add motion graphics, text animation, and light sound design when needed 💡 Contribute ideas during brainstorms—not just edits during post 🗃️ Maintain organized folders, versioned exports, and backup structures 📚 Share your knowledge and learn from others in the team 🛠 What You Should Bring: ✅ Mastery of Premiere Pro , After Effects , or similar tools 🎼 Strong understanding of pacing, tone, narrative flow, and sound 🎨 Basic skills in motion graphics, color grading, and audio cleanup 🗨️ Clear, professional communication ⏳ A deep respect for deadlines , collaboration , and creative ambition ✨ Why Join Us? 🌍 Work across industries and formats—from brand launches to deep storytelling 👯 Collaborate with a team that values clarity, creativity, and community 🎓 Access learning resources and a culture of continuous experimentation 🙌 Get credit for your ideas , not just your exports 📬 To Apply Send us: 🎞️ Your showreel or portfolio ✍️ A short note on: A story you’re proud to have edited A skill or perspective you're currently learning—or want to learn next

An AWS NetOps Engineer with hands-on experience in managing and optimizing cloud infrastructure using AWS services. Skilled in automating and configuring cloud environments to ensure scalability, security, and high availability. Expertise in EC2, Elastic Beanstalk, RDS, S3, VPC, and cloud security practices. CI/CD pipelines Key Skills: Amazon EC2: Proficient in launching, configuring, and managing EC2 instances, including instance types, AMIs, and auto-scaling configurations. Elastic Beanstalk: Experience in deploying, managing, and scaling web applications using AWS Elastic Beanstalk. Amazon RDS: Skilled in managing relational databases with Amazon RDS, including setup, maintenance, and performance tuning for MySQL, PostgreSQL, and other database engines. Amazon S3: Expertise in configuring and managing S3 buckets for storage, including versioning, encryption, and lifecycle policies. VPC: Hands-on experience in setting up and managing Virtual Private Cloud (VPC), including subnets, route tables, security groups, and VPN connections. Security: Strong understanding of AWS security best practices, including IAM roles, policies, and multi-factor authentication (MFA), as well as network security configurations like security groups and NACLs. Key Accomplishments: Configured and optimized EC2 instances to meet performance and cost optimization goals for multiple client applications. Automated application deployment pipelines using Elastic Beanstalk for seamless continuous delivery. Managed and optimized RDS database performance, including setting up automated backups, snapshots, and scaling based on demand. Ensured secure access to S3 buckets with proper IAM roles and encryption at rest and in transit. Designed and implemented secure VPC configurations, isolating sensitive workloads and improving security posture. Actively participated in implementing and enforcing AWS security policies, including identity and access management and audit logging. Certifications: AWS Certified Solutions Architect – Associate (or any relevant certifications) Job Type: Full-time Pay: ₹20,000.00 - ₹40,000.00 per month Benefits: Paid sick time Paid time off Schedule: Day shift Education: Bachelor's (Preferred) Experience: AWS: 1 year (Required) Work Location: In person Expected Start Date: 19/07/2025

Full job description We are seeking a highly skilled NodeJS developer with 3–4 years of hands-on experience to join our fast-growing team. This is a fantastic opportunity for recent graduates or early-career professionals ready to dive into real-world business challenges and make an impact from day one. * We are looking for a Node.js Developer responsible for developing the server-side logic, definition and maintenance of the central database, and ensuring high performance and responsiveness to requests from the front-end. You will also be responsible for integrating the front-end elements built by your co-workers into the application. Therefore, a basic understanding of front-end technologies is necessary as well. * Integration of user-facing elements developed by front-end developers with server side logic * Writing reusable, testable, and efficient code * Design and implementation of low-latency, high-availability, and performant applications * Implementation of security and data protection * Documenting Node.js processes, including database schemas, as well as preparing reports. * Recommending and implementing improvements to processes and technologies. Skills Required * Strong proficiency with JavaScript * Knowledge of Node.js and its frameworks * Understanding the nature of asynchronous programming and its quirks and workarounds * Good understanding of server-side templating languages * Good understanding of server-side CSS pre processors * Basic understanding of front-end technologies, such as HTML5, and CSS3 * Understanding accessibility and security compliance * User authentication and authorization between multiple systems, servers, and environments * Integration of multiple data sources and databases into one system * Understanding fundamental design principles behind a scalable application * Understanding differences between multiple delivery platforms, such as mobile vs. desktop, and optimizing output to match the specific platform * Creating database schemas that represent and support business processes * Implementing automated testing platforms and unit tests * Proficient understanding of code versioning tools, such as Git Experience : * 3+ years of NodeJs Application development experience is must. * Deep understanding of client side development, coding in HTML5, CSS3, JavaScript ES6, and jQuery. * Strong experience using a client side MVC framework such as NodeJS, React JS, NextJS, Redux, and AngularJS. * Topnotch programming skills and write code for robust software design. * Experience in responsive design, cross browser compatibility and website performance * Experience in object oriented design skills. - Aggressive problem diagnosis and creative problem solving skills. * Good understanding of how browsers and DOM work. - Experience with Git. - Experience with handling Services, RESTful, APIs COMPANY DETAILS Company category: IT | Online Reputation Management Services Company's website: https://www.33researchlabs.xyz/ Working Hours : 9 hours a day(Including a 30-minute lunch break) INTERVIEW DETAILS Interview Rounds: 2. Interview Timings: 11:00 am to 1:00 pm | 3:00 pm to 6:00 pm Interview Venue: Dharampur, Solan, Himachal Pradesh, India. Please reach at the venue on time. For any queries please Contact us at: +91-9310147383, 8699147721 Job Types: Full-time, Permanent Job Type: Full-time Pay: ₹15,000.00 - ₹25,000.00 per month Schedule: Day shift Supplemental Pay: Performance bonus Work Location: In person

Overview: WHAT YOU DO AT AMD CHANGES EVERYTHING We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences – the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives. AMD together we advance_ Responsibilities: THE ROLE AMD is looking for a talented, self-driven and motivated engineer to technically lead AIG’s Vitis AI Compiler projects working on AMD’s XDNA (AI Engine) architecture and the Vitis AI family of software tools. The XDNA is an industry leading NPU (Neural Processing Engine) architecture in terms of performance per watt and is used in AMD’s client and embedded devices as the primary engine for Machine Learning workloads. It is the hardware engine behind Windows Co-pilot on AMD devices. The team provides a fast-paced environment offering each of its members immense opportunity to interact with a wide variety of people including from other organizations like hardware designers, marketing, support, and even direct customer interaction, and truly learn and grow their skills and capabilities. THE PERSON: The ideal candidate should be passionate about software engineering and possess leadership skills to drive sophisticated technical issues to resolution. They should have demonstrated ability to identify technical problems, explore and propose viable options, and apply technical solutions. They should be able to excel in a global team environment with strong verbal and written communication skills. KEY RESPONSIBILITIES: Vitis AI is AMD’s primary SDK that enables users to compile and run their ML models on the XDNA architecture which forms the basis for AMD’s. As a senior member of this high-performance team, the selected candidate will have the opportunity to work on integrating the ML tool chain into frameworks like ONNX, Pytorch, TensorFlow etc. Candidate will have opportunity to work on orchestrating the compilation of ML model through different phases Candidate will integrate runtime execution of ML model on the NPU hardware through the runtime and driver. Candidate will collaborate with compiler and runtime teams to bring up latest AI models like CNNs, Transformers, Stable Diffusion, NLPs etc. on the XDNA simulator. Candidates would develop a deeper understanding of the various ML models, and how they are executed, identify performance bottlenecks and enable faster development. PREFERRED EXPERIENCE: Minimum 10 years of relevant work experience. Strong background in large scale C++ based development and debug, including Design Patterns Experience with multi-threaded programming infrastructure and performance optimization Experience in the software development environment on both Linux and Windows is required. Experience in any one of the ML Framework like ONNX, Pytorch etc is strongly desired. Experience with scalable builds and code versioning through github, docker, CMake, artifactory is highly desired. ACADEMIC CREDENTIALS: Bachelor’s or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent #LI-PK1 Qualifications: Benefits offered are described: AMD benefits at a glance. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

Company Description Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, find digital marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realise their financial goals and help them to save time and money. We operate across a range of markets, from financial services to healthcare, automotive, Agri finance, insurance, and many more industry segments. We invest in experienced people and new advanced technologies to unlock the power of data and to innovate. A FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 23,300 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com . Job Description Job description As part of the team building People Technology tools, you will contribute directly to shaping the digital experiences that power our HR lifecycle — from performance to engagement and beyond. As a Backend Engineer, you'll architect and maintain scalable, secure, and backend services that underpin our custom applications. While the main focus is backend development, your TypeScript skills will allow you to collaborate across the stack, influencing frontend integrations, APIs, and developer tooling. You'll help build modern engineering practices, accelerate delivery through pipelines, and build reliable infrastructure that scales with our missions. Develop backend services using TypeScript and JavaScript. Collaborate with frontend and platform teams to deliver end-to-end features. Create Docker containers and support Kubernetes-based deployments. Implement and maintain CI/CD pipelines, with Jenkins, to ensure streamlined deployment. Develop infrastructure using AWS services and ensure cost-effective, secure operations. Improve backend systems for performance and reliability, including legacy codebase debugging. Work with both relational and NoSQL databases (PostgreSQL and MongoDB) to design efficient data models and queries. Participate in code reviews, version control workflows (Git), and enforce coding best practices. Contribute to observability through logging and monitoring tools. Support integration and configuration of headless CMS platforms. You'll report to a Product Development Manager. Required skills Essential TypeScript & JavaScript : backend experience, clean code principles (SOLID), unit testing, debugging legacy services. Docker & Containerization : Creating/managing Dockerfiles, container orchestration, Kubernetes familiarity. AWS : Proficiency with EC2, ECS, S3, IAM, deployment and scaling in cloud environments. Networking : understanding of TCP/IP, DNS, firewalls, load balancers in service architecture. Git : Advanced use of Git workflows, PRs, versioning, and conflict resolution. Databases : CRUD operations, indexing, and schema design with PostgreSQL and MongoDB. CI/CD : Jenkins familiarity, CI troubleshooting, test & deploy pipelines. Good to have: Headless CMS : Experience with Directus, Strapi, or similar tools. OpenSearch/Elasticsearch : Indexing, health, and query optimization. Infrastructure as Code : Terraform-based environment setup and deployment. Observability : Prometheus, Grafana, ELK stack or similar tools for system monitoring. Collaborate across teams in sprint planning, technical design discussions, and retrospectives. Qualifications Qualifications 4+ years of backend development experience with emphasis on TypeScript. Demonstrated experience with containerized environments and modern CI/CD practices. Hands-on experience with AWS deployment and infrastructure scaling. Background in data-driven systems using PostgreSQL and NoSQL databases. Familiarity with DevOps practices, infrastructure automation, and monitoring tools. Additional Information Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, engagement, collaboration, wellness, reward and recognition, volunteering... the list goes on. Experian's people first approach is award-winning; Great Place To Work™ in 24 countries, FORTUNE Best Companies to work and Glassdoor Best Places to Work (globally 4.4 Stars) to name a few. Check out Experian Life on social or our Careers Site to understand why. Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is a critical part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, color, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity. Experian Careers - Creating a better tomorrow together Benefits Experian care for employee's work life balance, health, safety and wellbeing. To support this endeavor, we offer the best family well-being benefits, enhanced medical benefits and paid time off. #LI-Hybrid This is a hybrid remote/in-office role. Experian Careers - Creating a better tomorrow together Find out what its like to work for Experian by clicking here

Country/Region: IN Requisition ID: 27181 Work Model: Position Type: Salary Range: Location: INDIA - HYDERABAD - BIRLASOFT OFFICE Title: Technical Specialist-App Development Description: Area(s) of responsibility Full stack(JAVA+Reactjs) developerJD S.No Reactjs JD 1Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model 2.Thorough understanding of React.js and its core principles 3.Experience with HTML 5/ CSS3 4.Experience with popular React.js workflows (such as Flux or Redux) 5.Familiarity with newer specifications of EcmaScript 6.Experience with data structure libraries (e.g., Immutable.js) 7 7.Knowledge of isomorphic React is a plus 8.Familiarity with RESTful APIs 9.Knowledge of modern authorization mechanisms, such as JSON Web Token 10.Familiarity with modern front-end build pipelines and tools 11.Experience with common front-end development tools such as Babel, Webpack, NPM, etc. 12.Ability to understand business requirements and translate them into technical requirements 13.A knack for benchmarking and optimization 14.Familiarity with code versioning tools {{such as Git, SVN, and Mercurial}} Java developer JD 15.Designs, develops, and implements web-based Java applications to support business requirements. 16.Follows approved life cycle methodologies, creates design documents, and performs program coding and testing. 17.Resolves technical issues through debugging, research, and investigation. 18.Familiar with standard concepts, practices, and procedures within a particular field. 19.Relies on extensive experience and judgment to plan and accomplish goals. Performs a variety of tasks. 20.Ensure designs are in compliance with specifications 21.Strong knowledge in Java/J2EE. 22.Requires a bachelor's degree in area of specialty and 4-6years of experience in the field or in a related area.

JD for Node JS Technical Skill Set: 1. Good knowledge of Node.js with 1+ years of minimum experience 2. Understanding the nature of asynchronous programming and its quirks and workarounds. 3. Good Knowledge of Node.js Frameworks. 4. Proficiency in RESTful APIs and API Communications. 5. Working Knowledge on User Authentication and Authorization. 6. Integration of multiple data sources and databases into one system. 7. Proficient understanding of code versioning tools, such as GitHub, Bitbucket. 8. Can Write Efficient Codes. 9. Error Handling Skills. Job Responsibilities: 1. Collaborate with cross-functional teams to define, design, and ship new features. 2. Ability to understand business requirements and translate them into technical requirements. 3. Building big, robust, scalable, and maintainable Node JS application. 4. Debugging, Fixing bugs, Identifying Performance Issues, and Improving App Performance 5. Developing, Deploying, and maintaining Multistage, Multi-tier applications. Job Types: Full-time, Permanent Pay: ₹336,000.00 - ₹450,000.00 per year Benefits: Food provided Schedule: Day shift Morning shift Education: Bachelor's (Preferred) Experience: total work: 1 year (Preferred) software development: 1 year (Preferred) HTML5: 1 year (Preferred) Work Location: In person

About ValGenesis ValGenesis is a leading digital validation platform provider for life sciences companies. ValGenesis suite of products are used by 30 of the top 50 global pharmaceutical and biotech companies to achieve digital transformation, total compliance and manufacturing excellence/intelligence across their product lifecycle. Learn more about working for ValGenesis, the de facto standard for paperless validation in Life Sciences: https://www.youtube.com/watch?v=tASq7Ld0JsQ About the Role: We are looking for a great JavaScript developer who is proficient with React.js. Your primary focus will be on developing user interface components and implementing them following well-known React.js workflows (such as Flux or Redux). You will ensure that these components and the overall application are robust and easy to maintain. You will coordinate with the rest of the team working on different layers of the infrastructure. Therefore, a commitment to collaborative problem solving, sophisticated design, and quality product is important. Responsibilities: Developing new user-facing features using React.js Building reusable components and front-end libraries for future use Translating designs and wireframes into high quality code Optimizing components for maximum performance across a vast array of web-capable devices and browsers Required Skills: Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model Thorough understanding of React.js and its core principles Strong proficiency in MUI (Material-UI) and/or Tailwind CSS for building responsive and accessible UI components. Must have hands-on experience working with or contributing to a Enterprise grade design system in a scalable front-end architecture. Strong understanding of unit testing using frameworks like Jest, with a focus on component-level testing. Solid foundation in HTML5 and CSS3, including modern layout techniques and responsive design. Familiarity with Micro Frontend Architecture, including modular UI development and integration strategies. (Optional) Familiarity with newer specifications of EcmaScript Knowledge of isomorphic React is a plus Familiarity with RESTful APIs Knowledge of modern authorization mechanisms, such as JSON Web Token Familiarity with modern front-end build pipelines and tools Ability to understand business requirements and translate them into technical requirements A knack for benchmarking and optimization Familiarity with code versioning tools {{such as Git, SVN, and Mercurial}} Experience Experience with popular React.js workflows (such as Flux or Redux) Experience with data structure libraries (e.g., Immutable.js) Experience with common front-end development tools such as Babel, Webpack, NPM, etc. People & Work Skills: High fluency English language skills. Strong listening skills. Ability to work and collaborate cross-functionally in a fully remote setting. Ability to prioritize and manage multiple concurrent projects and deliver on deadline We’re on a Mission In 2005, we disrupted the life sciences industry by introducing the world’s first digital validation lifecycle management system. ValGenesis VLMS® revolutionized compliance-based corporate validation activities and has remained the industry standard. Today, we continue to push the boundaries of innovation ― enhancing and expanding our portfolio beyond validation with an end-to-end digital transformation platform. We combine our purpose-built systems with world-class consulting services to help every facet of GxP meet evolving regulations and quality expectations. The Team You’ll Join Our customers’ success is our success. We keep the customer experience centered in our decisions, from product to marketing to sales to services to support. Life sciences companies exist to improve humanity’s quality of life, and we honor that mission. We work together. We communicate openly, support each other without reservation, and never hesitate to wear multiple hats to get the job done. We think big. Innovation is the heart of ValGenesis. That spirit drives product development as well as personal growth. We never stop aiming upward. We’re in it to win it. We’re on a path to becoming the number one intelligent validation platform in the market, and we won’t settle for anything less than being a market leader. How We Work Our Chennai, Hyderabad and Bangalore offices are onsite, 5 days per week. We believe that in-person interaction and collaboration fosters creativity, and a sense of community, and is critical to our future success as a company. ValGenesis is an equal-opportunity employer that makes employment decisions on the basis of merit. Our goal is to have the best-qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristics protected by local law.

Location : Ernakulam Employment Type : Full Time Work Mode : Hybrid Experience : 3-8 yrs Job Code : BEO-2928 Posted Date : 09/07/2025 Job Description Responsibilities Programming and Development Skills Solid knowledge of modern programming languages, especially Kotlin, Java, JavaScript/TypeScript Development of end and app applications with Spring Boot and Kotlin Experience in app development on Android with Kotlin & Jetpack Compose Experience in hybrid app development with Ionic on Android & iOS Software Engineering Best Practices In-depth understanding of software architecture principles Confident use of design patterns and the avoidance of anti-patterns Applied principles of clean code and clean architecture Code documentation both inline and in external systems (e.g., Confluence) Interfaces and Subsystems Design and implementation of clearly structured, maintainable interfaces (REST, RPC, possibly GraphQL) Responsible for entire subsystems (e.g., authentication including social login) Experience with API design, versioning, and interface testing Domain Understanding High interest and deep Understanding of the respective technical domain Ability to understand business processes and implement them in software solutions Infrastructure knowledge: Understanding of deployment mechanisms, logging, monitoring, and performance tuning Very good knowledge of Google Cloud Quality assurance and reviews Conducting code reviews, especially for complex tasks Focus on maintainability, testability, and code comprehensibility Supporting refactoring measures and technical development Tools & methods IDE & tools: IntelliJ IDEA, Git, Maven Documentation & collaboration: Confluence, JIRA Processes & methods: Scrum, Kanban, CI/CD Test frameworks: JUnit, MockK, test containers DevOps/Build: Experience with pipelines, Docker, and possibly Kubernetes (advantageous) Desired Candidate Profile Development and maintenance of features and subsystems (e.g. Authentication system) Ensuring quality through code reviews and technical documentation Contributing to the design of architecture and technical roadmaps Supporting the selection of suitable technologies and tools

PHP Developer Responsibilities · Lead project modules or entire application stacks from planning to deployment. · Develop, test, and deploy high-quality PHP applications using modern frameworks · Plan and implement application architecture and database schemas. · Optimize performance, ensure code quality. · Manage code versioning and deployment strategies. · Collaborate with teams including frontend developers · Lead project and participate in code reviews. · Ensure security, scalability, and maintainability of backend codebases. Job Type: Full-time Pay: From ₹12,000.00 per month Work Location: In person

We are looking for a motivated and technically proficient SharePoint Implementation & Migration Specialist to assist in the migration of on-premises file shares to SharePoint Online . The ideal candidate should have a solid understanding of SharePoint architecture, file system structures, and basic scripting. This role will support the design, planning, execution, and post-migration validation processes while working closely with senior consultants and end users. Key Responsibilities: Assist in the assessment of existing file shares , folder structures, and user access. Support the design and setup of SharePoint Online sites, libraries, and metadata . Execute migrations using tools such as ShareGate , Microsoft Migration Manager , or PowerShell scripts under guidance. Help maintain migration logs, track progress, and resolve minor issues or errors. Validate post-migration content, including permissions, file integrity , and metadata. Assist with user onboarding, basic training , and issue resolution post go-live. Support documentation of migration plans, mappings, and configurations. Collaborate with senior team members, project leads, and department stakeholders. Required Skills and Experience: 2 to 5 years of IT experience, including exposure to SharePoint Online or Microsoft 365. Hands-on experience or training with file server structures and basic NTFS permissions . Familiarity with SharePoint features like document libraries, versioning, and permissions . Exposure to migration tools like ShareGate , SPMT , or PowerShell scripting. Good understanding of Microsoft 365 tools (OneDrive, Teams, Outlook). Nice to Have: Basic PowerShell scripting knowledge. Experience with Microsoft Lists, Power Automate , or InfoPath/Forms. Prior involvement in data classification or cleanup initiatives. Familiarity with NetApp , Windows File Servers, or NAS systems is a plus. Soft Skills: Strong willingness to learn and grow in SharePoint and cloud platforms. Good communication and documentation skills. Ability to work collaboratively in a team environment. Detail-oriented, organized, and able to follow structured processes.

About Us DigiMantra is a global IT service provider, offering a comprehensive suite of solutions including Digital Transformation, Cloud Computing, Cybersecurity, AI, and Data Analytics. With a strong global presence, we have our CoE's is US, UAE and India. In India we have our development centres in Hyderabad, Mohali and Ludhiana, enabling us to help businesses succeed in the digital age. Our inventive and bespoke solutions fuel development and success, allowing customers to stay ahead of the competition. As a trusted partner with knowledge and adaptability, DigiMantra delivers results that influence the future of business in a fast-changing world. Job Description Job role: We are looking for a mobile developer to bring the best of our apps to iOS devices. Your primary focus will be to develop and maintain iOS apps in integration with the back-end services. With your host of expertise, you shall commit to intuitive design, aesthetics and best user experience of the app. Responsibilities Design and development of professional business applications for the iOS platform. Collaborate with cross-functional teams to define, design, and ship new features in a dynamic work environment. You will work with external data sources/ APIs, unit-test code for robustness, including edge cases, usability, and general reliability. Will work on fixing bugs and improving application responsiveness, quality and performance. Your leadership will help to continuously discover, evaluate, and implement new technologies to improve development efficiency. Requirement Proficient with latest version of Swift and Xcode Experienced with iOS frameworks viz. Core Data, Core Animation, Core Graphics and Core Text Deep understanding of Apple’s design principles and interface guidelines Familiar working with RESTful APIs, third party libraries and API, cloud message APIs and push notifications Knowledgeable with performance tuning, threading and offline storage. Understand code versioning tools viz. Git, Mercurial Knowledge of low-level C-based libraries is preferred Experienced in continuous integration will be plus Requirements Benefits check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#00BFFF;border-color:#00BFFF;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered="">

Job Description Title: Dashboard Developer - Manager Job Type: Full-time Tenure: Permanent Location: Gurgaon, India Education: Bachelor's degree in computer science, Data Science, or related field About Us Research Partnership (part of Inizio Advisory ) is one of the world's largest pharma market research and consulting agencies, with 250+ researchers, consultants, and support staff across London, Lyon, New York, Philadelphia, San Francisco, Singapore, and Delhi. As individuals with diverse backgrounds and shared values, we create work that: Makes a difference to human health Celebrate progress through innovation Puts people at the centre of everything we do About the Team The Data Delivery & Dashboards Team sits within the new Data Management & Delivery division in Gurgaon. Our mission is to turn complex healthcare datasets into clear, interactive dashboards that power smarter decisions for clients worldwide. Your Primary Role As a Dashboard Developer Manager , you will design, build, and maintain high impact dashboards and data visualizations that transform raw market research data into actionable insights. You'll collaborate with researchers, analysts, and engineers to ensure data flows seamlessly from collections to visual storytelling. Key Responsibilities Develop and maintain interactive dashboards using Power BI, Tableau, or comparable BI tools . Translate project requirements into intuitive, performance optimized visual stories. Collaborate with Scripting and Data Processing teams to streamline end-to-end data workflows. Ensure data accuracy, responsiveness, and adherence to security protocols. Automate reporting processes and maintain version control and documentation. Stay abreast of BI trends and embed best practices in visualization and storytelling. Technical Expertise Backend Development PHP 6+ (6+ years) | Frameworks: Laravel, CodeIgniter or similar MVC Frameworks REST & SOAP API design for seamless data connectivity Database Expertise PostgreSQL, MySQL, MS SQL | Advanced querying & optimization Bigdata engines: Google Big Query, AWS Athena Strong data modelling skills for real-time dashboard performance Frontend / Visualization HTML, CSS, JavaScript with React, Vue.js, jQuery Responsive UI with Bootstrap & Blade templating Visual libraries: Chart.js, D3.js, High Charts, Google Charts Cloud & DevOps AWS & Google Cloud deployment and data processing Containers: Docker, Vagrant, VirtualBox CI/CD: Jenkins, CircleCI, GitHub Actions Caching & Performance Redis, Memcached for low latency, high volume dashboards Security & Code Quality Data access control and role based permissions PHP Unit testing, Git/SVN versioning, clean documentation Agile collaboration via JIRA, Confluence, Slack Required Qualifications 6–8 years of hands-on BI/dashboard development Proven experience across the full data to dashboard lifecycle Healthcare or market research background preferred Ideal Profile Detail oriented visual storyteller with a proactive, problem-solving mindset Strong communicator, comfortable with technical and nontechnical audiences Collaborative team player eager to learn and innovate in a global setting Life at Research Partnership We love what we do and continuously strive for innovation and creativity. We believe everyone should continuously be learning and provide: A comprehensive training and development program for all staff, from entry level apprentice to senior management Opportunities for international travel and collaboration A relaxed and friendly working environment About Inizio Advisory: Research Partnership is part of Inizio Advisory, a trusted advisor for pharmaceutical and life science companies that turns science into strategy, supporting execution at every stage of the product and patient journey from early commercialization to launch and beyond. Offering market research and insights; strategy; people and transformation consulting; and commercial benchmarking delivered through sector specific connected solutions and intelligence, Inizio Advisory helps create long-term value for clients and their patients. Don't meet every job requirement? That's okay! Our company is dedicated to building a diverse, inclusive, and authentic workplace. If you're excited about this role, but your experience doesn't perfectly fit every qualification, we encourage you to apply anyway. You may be just the right person for this role or others.

Title: Dashboard Developer - Manager Job Type: Full-time Tenure: Permanent Location: Gurgaon, India Education: Bachelor's degree in computer science, Data Science, or related field About Us Research Partnership (part of Inizio Advisory ) is one of the world's largest pharma market research and consulting agencies, with 250+ researchers, consultants, and support staff across London, Lyon, New York, Philadelphia, San Francisco, Singapore, and Delhi. As individuals with diverse backgrounds and shared values, we create work that: Makes a difference to human health Celebrate progress through innovation Puts people at the centre of everything we do About the Team The Data Delivery & Dashboards Team sits within the new Data Management & Delivery division in Gurgaon. Our mission is to turn complex healthcare datasets into clear, interactive dashboards that power smarter decisions for clients worldwide. Your Primary Role As a Dashboard Developer Manager , you will design, build, and maintain high impact dashboards and data visualizations that transform raw market research data into actionable insights. You'll collaborate with researchers, analysts, and engineers to ensure data flows seamlessly from collections to visual storytelling. Key Responsibilities Develop and maintain interactive dashboards using Power BI, Tableau, or comparable BI tools . Translate project requirements into intuitive, performance optimized visual stories. Collaborate with Scripting and Data Processing teams to streamline end-to-end data workflows. Ensure data accuracy, responsiveness, and adherence to security protocols. Automate reporting processes and maintain version control and documentation. Stay abreast of BI trends and embed best practices in visualization and storytelling. Technical Expertise Backend Development PHP 6+ (6+ years) | Frameworks: Laravel, CodeIgniter or similar MVC Frameworks REST & SOAP API design for seamless data connectivity Database Expertise PostgreSQL, MySQL, MS SQL | Advanced querying & optimization Bigdata engines: Google Big Query, AWS Athena Strong data modelling skills for real-time dashboard performance Frontend / Visualization HTML, CSS, JavaScript with React, Vue.js, jQuery Responsive UI with Bootstrap & Blade templating Visual libraries: Chart.js, D3.js, High Charts, Google Charts Cloud & DevOps AWS & Google Cloud deployment and data processing Containers: Docker, Vagrant, VirtualBox CI/CD: Jenkins, CircleCI, GitHub Actions Caching & Performance Redis, Memcached for low latency, high volume dashboards Security & Code Quality Data access control and role based permissions PHP Unit testing, Git/SVN versioning, clean documentation Agile collaboration via JIRA, Confluence, Slack Required Qualifications 6–8 years of hands-on BI/dashboard development Proven experience across the full data to dashboard lifecycle Healthcare or market research background preferred Ideal Profile Detail oriented visual storyteller with a proactive, problem-solving mindset Strong communicator, comfortable with technical and nontechnical audiences Collaborative team player eager to learn and innovate in a global setting Life at Research Partnership We love what we do and continuously strive for innovation and creativity. We believe everyone should continuously be learning and provide: A comprehensive training and development program for all staff, from entry level apprentice to senior management Opportunities for international travel and collaboration A relaxed and friendly working environment About Inizio Advisory: Research Partnership is part of Inizio Advisory, a trusted advisor for pharmaceutical and life science companies that turns science into strategy, supporting execution at every stage of the product and patient journey from early commercialization to launch and beyond. Offering market research and insights; strategy; people and transformation consulting; and commercial benchmarking delivered through sector specific connected solutions and intelligence, Inizio Advisory helps create long-term value for clients and their patients. Don't meet every job requirement? That's okay! Our company is dedicated to building a diverse, inclusive, and authentic workplace. If you're excited about this role, but your experience doesn't perfectly fit every qualification, we encourage you to apply anyway. You may be just the right person for this role or others.

Experience Required: 4 + years No. of vacancies: 2 Job Type: Full Time Vacancy Role: WFO Job Category: Development Job Description We are looking for an iOS developer responsible for the development and maintenance of applications aimed at a range of iOS devices including mobile phones and iPads. Your primary focus will be the development of iOS applications and their integration with back-end services. You will be working alongside other engineers and developers working on different layers of the infrastructure. Therefore, a commitment tocollaborative problem-solving, sophisticated design and the creation of quality products is essential. Roles & Responsibilities Design and build applications for the iOS platform Ensure the performance, quality, and responsiveness of applications Collaborate with a team to define, design, and ship new features Identify and correct bottlenecks and fix bugs Help maintain code quality, organization, and automatization Qualifications 4+ years of experience Proficient with Objective-C, Swift and Cocoa Touch Experience with iOS frameworks such as Core Data, Core Animation, etc. Experience with offline storage, threading, and performance tuning Familiarity with RESTful APIs to connect iOS applications to back-end services Knowledge of other web technologies and UI/UX standards Understanding of Apple’s design principles and interface guidelines Knowledge of 3rd party libraries Experience with performance and memory tuning with tools {{such as Instruments and Shark, depending on project needs}} Familiarity with cloud message APIs and push notifications Proficient understanding of code versioning tools {{such as Git, Mercurial or SVN}} Familiarity with continuous integration Publish applications on App Store. Excellent skills with memory management and caching mechanisms. Job Type: Full-time Pay: ₹700,000.00 - ₹1,200,000.00 per year Benefits: Flexible schedule Leave encashment Provident Fund Schedule: Day shift Experience: Swift: 3 years (Required) Work Location: In person

PHP Developer Job Description: We are looking for a PHP Developer responsible for managing back-end services and the interchange of data between the server and the users. Your primary focus will be the development of all server-side logic, definition and maintenance of the central database, and ensuring high performance and responsiveness to requests from the front-end. You will also be responsible for integrating the front-end elements built by your co-workers into the application. Therefore, a basic understanding of front-end technologies is necessary as well. Job Responsibilities: Build efficient, testable, and reusable PHP modules Solve complex performance problems and architectural challenges Write clean, well-designed code Produce detailed specifications Troubleshoot, test and maintain the core product software and databases to ensure strong optimization and functionality Contribute in all phases of the development lifecycle Follow industry best practices Develop and deploy new features to facilitate related procedures and tools if necessary Job Requirements: A minimum 1-year of proven experience in PHP development. Integration of user-facing elements developed by front-end developers Build efficient, testable, and reusable PHP modules Solve complex performance problems and architectural challenges Integration of data storage solutions Strong knowledge of PHP web frameworks Understanding the fully synchronous behavior of PHP Understanding of MVC design patterns Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS3 Knowledge of object-oriented PHP programming Understanding accessibility and security compliance Strong knowledge of the common PHP or web server exploits and their solutions Understanding fundamental design principles behind a scalable application User authentication and authorization between multiple systems, servers, and environments Integration of multiple data sources and databases into one system Familiarity with limitations of PHP as a platform and its workarounds Creating database schemas that represent and support business processes Familiarity with SQL/NoSQL databases and their declarative query languages Proficient understanding of code versioning tools, such as Git Experience working with iOS frameworks such as Core Data, Core Animation, Core Graphics, and Core Text. Experience with third-party libraries and APIs. Working knowledge of the general mobile landscape, architectures, trends, and emerging technologies. Job Type: Full-time Pay: ₹10,000.00 - ₹40,000.00 per month Benefits: Health insurance Work Location: In person

Job Title: Android & Flutter Developer Location: Mohali, Punjab Job Type: Full-time We're growing rapidly and looking to expand our development team with a talented Android & Flutter Developer. If you are passionate about building high-performance mobile applications for both Android and cross-platform environments, we’d love to hear from you! Role & Responsibilities: As an Android & Flutter Developer , you will be responsible for the development, testing, and maintenance of both native Android applications and cross-platform applications using Flutter. You’ll be involved in the full development lifecycle, from ideation through deployment, collaborating closely with design, product, and back-end teams. l Develop and maintain native Android apps using Kotlin or Java . l Build cross-platform mobile applications using Flutter and Dart , targeting both iOS and Android platforms. l Implement new features and functionalities as per product requirements, working from wire frames and user stories. l Focus on optimizing app performance to provide a seamless user experience. l Implement strategies to improve app speed, reduce battery consumption, and optimize network usage. l Integrate back-end services (RESTful APIs, GraphQL) with mobile applications to handle real-time data and content. l Work closely with backend developers to ensure data flow and error-free integration. l Manage the release process for Android apps in the Google Play Store and handle app submission, versioning, and updates. Skills & Requirements: l Proficiency in Kotlin and Java for developing Android applications. l Experience with Android SDK , Android Studio , Gradle , and common Android libraries (e.g., Retrofit , Glide , Room ). l Familiarity with Android architecture patterns like MVVM , MVP , and MVC . l Experience with Google Play Store submission, app versioning, and Google Firebase for push notifications, authentication, etc. l Strong proficiency with Flutter and Dart for building cross-platform mobile apps. l Familiarity with state management techniques in Flutter (e.g., Provider , GetX , Riverpod , Bloc ). l Experience with Flutter widgets, animations, and custom UI components. l Familiarity with the Flutter ecosystem (e.g., Flutter DevTools, Flutter plugins, etc.). l Experience in integrating mobile apps with RESTful APIs, GraphQL, or WebSockets. Job Type: Full-time Pay: ₹750,000.00 - ₹1,200,000.00 per year Benefits: Flexible schedule Leave encashment Provident Fund Schedule: Day shift Experience: Android: 4 years (Required) Flutter: 2 years (Required) Work Location: In person

Req ID: 328084 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a ReactJS developer to join our team in Bangalore, Karnātaka (IN-KA), India (IN). Responsibilities Developing new user-facing features using React.js Building reusable components and front-end libraries for future use Translating designs and wireframes into high quality code Optimizing components for maximum performance across a vast array of web-capable devices and browsers Responsible for application design, code development, testing and deployment and maintenance Write well designed and optimized code Contribute in all phases of development lifecycle Develop and deploy new features to facilitate related procedures and tools A high degree of intellectual curiosity and a lack of fear for learning something new Should be open to learn from others and willing to help mentor Skills 6+ years of experience as an application development or similar role Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model Thorough understanding of React.js and its core principles Experience with popular React.js workflows (such as Flux or Redux) Experience with data structure libraries (e.g., Immutable.js) Knowledge of isomorphic React is a plus Familiarity with RESTful APIs Knowledge of modern authorization mechanisms, such as JSON Web Token Familiarity with modern front-end build pipelines and tools Experience with common front-end development tools such as Babel, Webpack, NPM, etc. Ability to understand business requirements and translate them into technical requirements A knack for benchmarking and optimization Familiarity with code versioning tools such as Git, SVN, and Mercurial Team player Good time-management skills Great interpersonal and communication skills Ability to plan resource requirements from high level specifications Should be full time graduated (BE or B Tech or MCA) from reputed university About NTT DATA NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us . This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here . If you'd like more information on your EEO rights under the law, please click here . For Pay Transparency information, please click here .