127 Job openings found

1 Opening(s)
2.0 Year(s) To 4.0 Year(s)
7.00 LPA TO 9.00 LPA
  What You’ll Do• Build the Brains & the Beauty: Design, develop, and maintain scalable backend systems in Python/Django and responsive frontends with React.js.• API Maestro: Create and optimize robust RESTful APIs (and possibly GraphQL) to seamlessly connect backend logic with powerful user interfaces.• Craft Amazing UIs: Develop intuitive, pixel-perfect, and ...
1 Opening(s)
2.0 Year(s) To 5.0 Year(s)
8.00 LPA TO 11.00 LPA
You will own and manage all the Data and MIS requirements that are needed to run/govern day-to-day operations and perform data analysis for the collections. What you will do: Design and implement frameworks to automate and deploy Management Information System (MIS), data integration, and manual operations workflows, streamlining processes and reducing manual ...
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)
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 ...
5 Opening(s)
3.0 Year(s) To 5.0 Year(s)
15.00 LPA TO 17.00 LPA
Key Responsibilities   Design, develop, and maintain scalable backend services and APIs using Java and Spring Boot. Strong proficiency in Java (Java 8 or above) and Spring / Spring Boot framework. Experience with SQL and NoSQL databases (MySQL, PostgreSQL, MongoDB, etc.) Exposure to cloud platforms GCP & Azure and containerization (Docker, Kubernetes) is a plus. Hands-on ...
1 Opening(s)
5.0 Year(s) To 10.0 Year(s)
8.00 LPA TO 10.00 LPA
About the Role: We are seeking a proactive, results-driven Assistant Manager – Human Resources to strengthen our people function and drive key HR initiatives across the organisation. The role involves managing the full HR spectrum—ranging from recruitment and policy implementation to employee engagement, performance management, and compliance. The ideal candidate should bring hands-on HR ...
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 ...
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 

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