2 Opening(s)
8.0 Year(s) To 10.0 Year(s)
7.00 LPA TO 8.50 LPA
Job Summary:
We are seeking an experienced Senior Executive – QA with over 8 years of hands-on experience in testing cloud-based applications, particularly Oracle Fusion Financials, HCM, and Procurement modules. The ideal candidate will bring deep expertise in ERP testing, test automation, and QA methodologies, ensuring the delivery of high-quality, reliable ...
4 Opening(s)
4.0 Year(s) To 8.0 Year(s)
8.00 LPA TO 11.00 LPA
Responsibilities
Plan, design, and execute test strategies for complex features across manual, regression, and automation suites.
Develop, maintain, and optimise automated test cases using qEngine or equivalent frameworks.
Perform API testing, database validation, and cross-browser/device compatibility testing.
Execute load/performance tests and basic security validations.
Participate in release readiness and provide risk-based assessments.
Mentor junior QAs 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 ...
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)
1.0 Year(s) To 2.0 Year(s)
4.00 LPA TO 6.00 LPA
Job Overview: We are seeking a highly skilled and experienced company secretary (CS) to manage and oversee secretarial functions, ensure compliance with relevant legal and regulatory frameworks, and handle a variety of corporate matters. The ideal candidate will have extensive knowledge and practical experience in managing company secretarial duties, corporate ...
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 ...
4 Opening(s)
3.0 Year(s) To 5.0 Year(s)
10.00 LPA TO 12.00 LPA
As an Account Executive at the company, you will own the full sales cycle and drive growth across our Recruitment (RX) and Customer Experience (CX) verticals.
You will:
Build and manage a robust sales pipeline through outbound prospecting, networking, and strategic research.
Own the entire sales process, from initial outreach and discovery to ...
3 Opening(s)
4.0 Year(s) To 6.0 Year(s)
12.00 LPA TO 15.00 LPA
We’re looking for an AI/ML Engineer with hands-on expertise in LLMs, Agentic AI, NLP and some Computer Vision. You’ll build scalable AI solutions using transformer-based models, LLM-powered chat systems, and vector databases, primarily in Python. A research-driven, proactive mindset is highly valued.What you’ll do:
o Build and optimize document classification & information extraction pipelines
o Build Agentic AI for FinTech usacases
o Train/fine-tune NLP models (Transformers/LLMs) for classification tasks
o Implement LLM ...
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