126 Job openings found

1 Opening(s)
2.0 Year(s) To 4.0 Year(s)
8.00 LPA TO 11.00 LPA
  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, ...
8 Opening(s)
8.0 Year(s) To 10.0 Year(s)
20.00 LPA TO 30.00 LPA
About the JobAs a Senior Software Developer, you will play a key role in designing, developing, and maintaining high-quality software solutions that power our cutting-edge navigation and piloting systems. You will:Lead the design and development of advanced software applications tailored to maritime needs.Architect scalable, secure, and maintainable solutions.Conduct code reviews and ...
5 Opening(s)
6.0 Year(s) To 9.0 Year(s)
12.00 LPA TO 15.00 LPA
  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 ...
10 Opening(s)
2.0 Year(s) To 5.0 Year(s)
7.00 LPA TO 11.00 LPA
  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 ...
1 Opening(s)
8.0 Year(s) To 15.0 Year(s)
20.00 LPA TO 30.00 LPA
Job Summary We are seeking an experienced Java Lead to lead the development of enterprise-grade Java applications. The ideal candidate will have strong hands-on experience in Java technologies and will be responsible for guiding the development team, ensuring high-quality code, and contributing to system design and architecture. The role involves both ...
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)
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 
2 Opening(s)
2.5 Year(s) To 7.0 Year(s)
7.00 LPA TO 12.00 LPA
  Role Overview:We are looking for a QA Engineer with strong experience in integration and system testing tovalidate end-to-end workflows across APIs, databases, and cloud services.Key Responsibilities● Design and execute integration test scenarios● Validate data flow across APIs, DBs, and message queues● Automate integration tests and integrate them with CI/CD● Debug ...
3 Opening(s)
8.0 Year(s) To 10.0 Year(s)
15.00 LPA TO 27.00 LPA
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 ...
2 Opening(s)
4.0 Year(s) To 6.0 Year(s)
15.00 LPA TO 24.00 LPA
Role Overview We are seeking a high-calibre AI Engineer – Lead to spearhead end-to-end design, deployment, and lifecycle management of AI/ML solutions. The role is critical to driving automation, predictive analytics, and data-driven intelligence across business use cases, ensuring scalable and compliant AI deployments. Key Responsibilities Design, develop, and deploy AI/ML models aligned to defined business use ...

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