147 Job openings found

1 Opening(s)
2.0 Year(s) To 3.0 Year(s)
6.00 LPA TO 10.00 LPA
Summary: We are seeking an experienced Angular Developer to build scalable, reactive web applications. You will be responsible for implementing complex business logic using RxJS, managing application state with Store patterns, and crafting high-quality UIs using Angular Material or PrimeNG.   Core Requirements:   - Angular & TypeScript: 3+ years of experience building modern Angular ...
1 Opening(s)
1.0 Year(s) To 3.0 Year(s)
8.00 LPA TO 10.00 LPA
 About the Company A next-generation SaaS platform building advanced solutions in supply chain intelligence—covering Procurement, Distribution, Forecasting, Workflow Automation, and AI-driven copilots.The company moves fast, ships often, and prioritizes reliability. QA is treated as an engineering discipline, not a checkbox. This role is ideal for someone early in their career who wants ...
1 Opening(s)
0 To 2.0 Year(s)
2.00 LPA TO 3.00 LPA
Job OverviewWe are looking for a skilled Mobile App Developer with experience in React Native to design and build high-quality mobile applications. The ideal candidate will collaborate with cross-functional teams to deliver seamless user experiences and robust app functionality. Key ResponsibilitiesDevelop and maintain mobile applications using the React Native framework.Collaborate with ...
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 
1 Opening(s)
2.0 Year(s) To 4.0 Year(s)
7.00 LPA TO 10.00 LPA
You will own and manage all the Data, MIS, Dashboard & Automation requirements that are needed to govern day to day operations, create recons and perform data analysis for the Product team working onFinOps and Loan Management System.  What you will do: Establish a robust reconciliation framework across our Loan Management System ...
1 Opening(s)
1.0 Year(s) To 3.0 Year(s)
2.00 LPA TO 3.00 LPA
  Responsibilities Write clean, efficient, and well-structured code. Develop innovative solutions to day-to-day technical challenges. Troubleshoot, test, and maintain core product modules to ensure performance and reliability. Participate in all phases of the development lifecycle. Follow industry standards, coding best practices, and maintain documentation. Requirements Strong analytical and problem-solving skills. Proficiency in HTML5, CSS, JavaScript, jQuery, JSON. Solid understanding of ...
1 Opening(s)
4.0 Year(s) To 6.0 Year(s)
9.00 LPA TO 12.00 LPA
 Role Overview The organization is seeking a highly motivated Consultant (Education) with demonstrated experience in government-led education projects. The role involves providing technical expertise and advisory support for engagements with Central and State Government departments, education councils, academic institutions, and related stakeholders. The Consultant will contribute to reforms in curriculum development, assessments, ...
1 Opening(s)
5.0 Year(s) To 8.0 Year(s)
9.00 LPA TO 15.00 LPA
Job Description: We are seeking a Senior Full Stack Developer responsible for web applications development. This position requires sound knowledge of programming skills in core PHP, PHP Frameworks like wordpress and Laravel, JavaScript, JavaScript Frameworks Jquery and good knowledge of HTML5, CSS3. Understanding of the entire web development process, including design, ...
1 Opening(s)
5.0 Year(s) To 8.0 Year(s)
9.00 LPA TO 16.00 LPA
Skills Required:   5-7 years of experience as a Big Data Engineer or similar role 5-7 years experience programming and/or architecting a back end language (Java, J2EE, Core University degree in Computer Science, Engineering or equivalent preferred) Experience with Java oriented technologies ( ORM frameworks like Hibernate, REST/SOAP) Ability to gather accurate requirements and work closely ...

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