167 Job openings found

1 Opening(s)
8.0 Year(s) To 10.0 Year(s)
37.00 LPA TO 43.00 LPA
As a Senior IT Infrastructure Administrator in a large-scale, 24x7 operational environment, you will play a critical role in ensuring the stability, security, and performance of the organization’s core IT infrastructure. This position requires deep technical expertise and a hands-on approach to managing middleware platforms, system configurations, and integration layers ...
1 Opening(s)
2.0 Year(s) To 3.0 Year(s)
3.00 LPA TO 3.84 LPA
  Role Overview: As a Social Media Marketing Executive , you will play a pivotal role in shaping our online presence and executing social media strategies for both XGC and our agency clients. You will be responsible for the end-to-end management of social media activities, from content creation and community engagement ...
1 Opening(s)
8.0 Year(s) To 12.0 Year(s)
20.00 LPA TO 25.00 LPA
  Key Responsibilities:● Design, build, and manage scalable cloud infrastructure using AWS.● Implement and optimize CI/CD pipelines using Jenkins and AWS CodePipeline.● Automate infrastructure provisioning and configuration using Terraform / Ansible● Manage and deploy containerized applications using Docker and Kubernetes.● Set up and maintain monitoring, logging, and alerting using tools like ...
1 Opening(s)
2.0 Year(s) To 4.0 Year(s)
5.50 LPA TO 8.00 LPA
 Key Responsibilities: 1. Azure DevOps Pipeline Management 2. Cloud Infrastructure and Network Management 3. Intune Device & Application Management 4. Security & Compliance 5. Monitoring and Troubleshooting 6. Collaboration & Documentation    Skills and Qualifications: 1. Strong experience in Azure DevOps, CI/CD pipeline management, and Azure cloud services. 2. Hands-on experience with Microsoft Intune for device and application management,  including creating and managing Intune policies, app deployments, and configuration profiles. 3. Familiarity with monitoring tools like Azure Monitor, Log Analytics, and Application Insights.    Soft Skills: 1. Excellent problem-solving and analytical skills. 2. Strong communication and collaboration skills to work effectively with cross-functional  teams. 
1 Opening(s)
2.0 Year(s) To 4.0 Year(s)
7.00 LPA TO 9.00 LPA
  What You’ll Do• Build the Brains & the Beauty: Design, develop, and maintain scalable backend systems in Python/Django and responsive frontends with React.js.• API Maestro: Create and optimize robust RESTful APIs (and possibly GraphQL) to seamlessly connect backend logic with powerful user interfaces.• Craft Amazing UIs: Develop intuitive, pixel-perfect, and ...
1 Opening(s)
2.0 Year(s) To 3.0 Year(s)
3.00 LPA TO 3.60 LPA
We are seeking a qualified and proactive Safety Officer to ensure a safe working environment by implementing and monitoring safety protocols in accordance with company and regulatory standards. The Safety Officer will be responsible for minimising risks and promoting a culture of safety across all operations.Key Responsibilities:•Develop, implement, and maintain ...
5 Opening(s)
3.0 Year(s) To 5.0 Year(s)
15.00 LPA TO 17.00 LPA
Key Responsibilities   Design, develop, and maintain scalable backend services and APIs using Java and Spring Boot. Strong proficiency in Java (Java 8 or above) and Spring / Spring Boot framework. Experience with SQL and NoSQL databases (MySQL, PostgreSQL, MongoDB, etc.) Exposure to cloud platforms GCP & Azure and containerization (Docker, Kubernetes) is a plus. Hands-on ...
1 Opening(s)
2.0 Year(s) To 5.0 Year(s)
8.00 LPA TO 11.00 LPA
You will own and manage all the Data and MIS requirements that are needed to run/govern day-to-day operations and perform data analysis for the collections. What you will do: Design and implement frameworks to automate and deploy Management Information System (MIS), data integration, and manual operations workflows, streamlining processes and reducing manual ...
1 Opening(s)
5.0 Year(s) To 7.0 Year(s)
8.40 LPA TO 10.80 LPA
We are seeking a highly motivated Data Analyst to join our team. The successful candidate will be responsible for collecting, analysing, and interpreting data to help drive strategic and operational decisions across the business. This role involves working closely with teams across Sales, Marketing, Finance, and Operations to deliver actionable ...
1 Opening(s)
3.0 Year(s) To 5.0 Year(s)
18.00 LPA TO 24.00 LPA
About the Role : We are looking for a hands-on Full Stack Data Scientist who can independently manage the  entire machine learning lifecycle—from data wrangling to deployment—without relying on a  dedicated data engineering team. This role is ideal for someone who thrives in a fast-paced, self- directed environment and is passionate about building real-world ML solutions that drive  business outcomes.      Key Responsibilities : ∙Own the full ML pipeline: data ingestion, cleaning, feature engineering, model  development, deployment, and monitoring.  ∙Build and fine-tune models using Python and frameworks like Scikit-learn, XGBoost,  TensorFlow, or PyTorch.  ∙Deploy models using Databricks, MLflow, and cloud-native tools (preferably Azure).  ∙Develop robust, scalable pipelines using PySpark or native Databricks workflows.  ∙Collaborate with BI analysts and business stakeholders to translate requirements into  production-ready solutions.  ∙Maintain and improve existing models and pipelines with minimal supervision.      Required Skills : ∙3+ years of experience in applied data science or ML engineering.  ∙Strong Python programming skills, including experience with data manipulation and ML libraries.  ∙Experience with Databricks and cloud-based ML deployment (Azure preferred).  ∙Ability to work independently across the full stack of ML development and deployment.    ∙Familiarity with version control (Git), CI/CD, and MLOps best practices.  ∙Excellent communication skills and ability to work with remote teams across time zones.      Nice to Have  ∙Experience with data pipeline development using PySpark or Delta Lake.  ∙Exposure to Docker, REST APIs, or real-time inference.  ∙Prior experience working in a manufacturing or industrial analytics environment.    Interview Process:  Shortlisted candidates will be required to complete:  ∙An online technical skills assessment focused on Python and applied machine learning.  ∙An in-person practical test at our Ahmedabad Tech Center to evaluate real-world  problem-solving and deployment capabilities.  Hours: 2:30 PM – 11:30 PM IST (working from Office) Reports to: Manager, Data Analytics California, USA 

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