124 Job openings found

  Role Overview:As a DevOps Engineer, you will lead and support the migration of our infrastructure toKubernetes across cloud and local environments while designing, building, and maintaining ourGoogle Cloud, Oracle Cloud, and on-premise infrastructure. You will collaborate closely withengineering, product, and QA teams to ensure reliable deployments, high availability, strongsecurity controls, ...

Job Description We are looking for a Cloud & DevOps Engineer who will mainly work on Azure and support our development and operations teams. The focus of this role is managing Azure services, automation, and CI/CD pipelines. Knowledge of Intune is a plus but not mandatory. Key Responsibilities 1. Azure DevOps & Pipelines Build, ...

  Job Summary:We are looking for a skilled and motivated Java Developer with 5-8 years of professional experience to join our development team. The ideal candidate will have a solid foundation inJava programming and a passion for developing high-quality software solutions. You will work closely with senior developers and other team ...

  Job Summary:We are looking for a skilled and motivated Java Developer with 2-5 years of professional experience to join our development team. The ideal candidate will have a solid foundation inJava programming and a passion for developing high-quality software solutions. You will work closely with senior developers and other team ...

  Role Overview The organization is seeking a qualified Consultant (IT Implementation) to support technology-driven projects for Central and State Government departments. The role focuses on IT solution implementation, system integration, process automation, digital transformation, and e-governance initiatives. The ideal candidate will have hands-on experience delivering government IT projects and will support project ...

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 ...

  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 ...

  Role Summary:As a Senior Software Engineer, you will be instrumental in the design and development of intricate web applications. This role requires you to lead a team of developers, promoting collaboration and upholding rigorous code quality standards. Your profound knowledge of C#.NET, microservices architecture, and AWS will be crucial in ...

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 

We are hiring an AI Engineer – Expert to provide technical leadership across enterprise-grade AI / ML / RPA programs. The role will act as the architectural authority, ensuring best-in-class solution design, implementation excellence, and robust governance across all AI deployments.   Key Responsibilities Provide technical leadership and expert guidance across AI / ML / RPA solution ...