49 Job openings found

1 Opening(s)
3.0 Year(s) To 5.0 Year(s)
12.00 LPA TO 16.00 LPA
Job Description We are looking for a Full-stack developer to develop full-stack web applications using JavaScript technologies.   Required Experience: 3-5 Years Job title: Senior Full Stack Developer Required Qualification: BE/BTech (IT/CS/Electronics), ME/MTech (IT/CS), or equivalent technical degree Job Location: Pune/Ahmedabad   Key Skills and Requirements: Strong analytical and problem-solving skills with the ability to architect scalable solutions Proven experience in full-stack JavaScript development ...
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 
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 ...
2 Opening(s)
7.0 Year(s) To 10.0 Year(s)
20.00 LPA TO 25.00 LPA
  Role Overview:We are seeking a highly skilled Technical Lead with strong expertise in Java and Spring Boot to lead a team of 2–10 engineers (junior and senior). The ideal candidate will have a proven track record in managing end-to-end SDLC, designing scalable architectures, and delivering enterprise-grade solutions in a collaborative ...
1 Opening(s)
5.0 Year(s) To 8.0 Year(s)
15.00 LPA TO 18.00 LPA
Job Description   Bachelor's degree in Data Engineering, Big Data Analytics, Computer Engineering, or related field. Proven experience as a Data Engineer, Software Developer, ETL Developer or similar. Proficient in Python, R, and SQL Experience in Enterprise Data Warehousing, Data Store on Azure, Data Architecture for Enterprise cloud Experience with SAP HANA Data Warehouse and SAP Analytics Cloud advantageous Experience in Azure Data Factory (ADF), Data bricks and Spark creating multiple pipelines and activities Using both Azure and On-Prem data stores for full and incremental data loads into a Cloud DW Should have experience working with Azure Data Factory V2. Experience managing Azure Data Lakes and Data Lake Analytics and an understanding of how to integrate with other Azure Services Experience with Azure SQL DW and other Azure Services pricing models.Understanding of when to use Azure SQL DW vs Azure SQL Server/DB and loading patterns to move data from blob or Azure Data Lake into Azure SQL DW Understanding of the Overall solution design of how Power BI and Azure Analysis Services fits into Azure Architecture Experience in Design EDW Data Models and make optimization/improvement recommendations Experience in Power BI, Tableau, SAP Analytics Cloud Excellent analytical and problem-solving skills. Capacity to manage a pipeline of duties with minimal supervision. (Multi-tasker) Complex problem-solving abilities and advanced leadership/communication skills. Experience developing and maintaining standards, guidance and technical documentation Excellent written and verbal communication abilities. Excellent Strategic thinking capability. Problem-solving skills — Identifying data problems and create programs/code to solve these problems. Research skills — This job often includes combing through data and finding information, that means research mindset (Essential) Takes full ownership and accountability on work tasks. 
1 Opening(s)
15.0 Year(s) To 17.0 Year(s)
Not Disclosed by Recruiter
Duration: one year Shift time - General shift time Location: 100% remote Experience: 15+ Years Open budget   Requirement: Looking for a Sr Azure Administrator having expertise in Azure Administration. Candidates must be at least Azure admin certified.   Job Description: SME-level Azure resource to support ETO Multi-Cloud Operations One or more Azure Certifications are desirable Experience required in administering Azure Cloud Platform for mission-critical business enterprise Operations. Experience required ...
1 Opening(s)
8.0 Year(s) To 15.0 Year(s)
0.00 LPA TO 35.00 LPA
Who We AreWe are a global, agile, and innovative organization established with an aim to create value and impact for its employees, customers and all stakeholders.We are a group of technology enthusiasts with a mission to make a positive impact on businesses by leveraging our expertise in Artificial Intelligence, Machine ...
1 Opening(s)
2.0 Year(s) To 4.0 Year(s)
5.50 LPA TO 7.00 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)
3.0 Year(s) To 5.0 Year(s)
16.00 LPA TO 22.00 LPA
Your primary responsibility will be to develop, optimize, and maintain Power BI solutions that support data-driven decision-making across the organization. In this role, you will be expected to work closely with business representatives to capture requirements and translate them into scalable and efficient BI solutions. A strong understanding of backend data structures is essential, and experience with full-stack development is ...

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