171 Job openings found

2 Opening(s)
4.0 Year(s) To 6.0 Year(s)
Not Disclosed by Recruiter
Job Summary: We are seeking an experienced Data Engineer with proven expertise in Vertica Database functionalities to design, develop, and optimize scalable data solutions. The ideal candidate will have a strong background in SQL, ETL processes, and data modelling, along with hands-on experience in managing large datasets and ensuring high-performance data ...
1 Opening(s)
3.0 Year(s) To 5.0 Year(s)
6.00 LPA TO 8.00 LPA
  Key Responsibilities:  ∙Develop and maintain high-quality mobile applications for the Android platforms.  ∙Collaborate with cross-functional teams to define, design, and ship new features.  ∙Ensure the performance, quality, and responsiveness of applications.  ∙Identify and fix bugs and performance bottlenecks.  ∙Write clean, scalable, and maintainable code while adhering to best practices.  ∙Continuously discover, evaluate, and implement new technologies to maximize development efficiency.  ∙Work with REST APIs and third-party libraries, Hardware communication and APIs.   Skills & Qualifications:  ∙Strong proficiency in Java programming language.  ∙BLE communication, Hardware communication using RS232, RS485 knowledge required.  ∙Experience with Android development, including familiarity with native development.  ∙Familiarity with RESTful APIs, third-party libraries, and APIs.    ∙Ability to write efficient, well-documented, and clean code.  ∙Excellent problem-solving skills and ability to work under pressure.  ∙Strong communication skills and ability to work in a team environment.  Education & Experience:  ∙Bachelor’s degree in computer science, Engineering, or a related field (or equivalent work experience).  ∙At least 4+ years of experience in mobile development using Android.    Soft Skills:     ∙Excellent problem-solving and analytical skills.  ∙Strong communication and collaboration skills to work effectively with cross-functional teams.
2 Opening(s)
5.0 Year(s) To 8.0 Year(s)
20.00 LPA TO 24.00 LPA
  Qualifications and Experiences Degree in Computer Science or IT. 5+ years of experience in Java development & Angular  Candidate should have Major  and hands on experience in Angular. Extensive experience with Spring, Spring Boot Micro Services, JPA, Hibernate  Extensive experience in UI Frameworks – Angular, Bootstrap , ReactJS and Advanced Java scripts  Extensive experience in Node ...
1 Opening(s)
4.0 Year(s) To 6.0 Year(s)
0.00 LPA TO 0.00 LPA
  Job Title: SAP Data Migration Consultant – LTMC/LTMOM Experience Required: 4 – 6 Years Role: On Contract Work Mode: Work from home Location: Bangalore HSR Layout (Work from home- with travel to the Bangalore office as and when required and Preferably candidates from South) Job Summary: We are seeking an experienced SAP Data Migration Consultant with ...
4 Opening(s)
3.0 Year(s) To 6.0 Year(s)
10.00 LPA TO 12.00 LPA
Job Summary The Company  is looking for a Quality Assurance Engineer with a balanced skill set across both manual and automation testing. This role is ideal for someone who has strong automationexpertise but is equally comfortable and willing to work on manual testing when required.The ideal candidate will play a critical ...
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 ...
7 Opening(s)
8.0 Year(s) To 10.0 Year(s)
18.00 LPA TO 24.00 LPA
  Job Description The Platform Core Development team provides the foundational software stack for Personal Cloud, our flagship white-label cloud content platform. This system supports backup, sync, and content sharing for millions of global mobile operator subscribers. The team architected and continues to evolve our platform to efficiently manage petabytes of data, ...
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 
1 Opening(s)
7.5 Year(s) To 10.0 Year(s)
16.00 LPA TO 21.60 LPA
  Professional & Technical Skills: - Must To Have Skills: Expertise in SAP Vendor Invoice Management.- Good To Have Skills: Experience with other SAP modules such as SAP Financials and Controlling (FICO), SAP Materials Management (MM), and SAP Sales and Distribution (SD).- Strong understanding of SAP architecture and integration with other ...

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