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.
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
3 Opening(s)
4.0 Year(s) To 11.0 Year(s)
10.00 LPA TO 19.00 LPA
Job Description
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15.00 LPA TO 20.00 LPA
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8.00 LPA TO 12.00 LPA
Role Summary:Own and manage day-to-day HR administration, facilities, vendor relationships, and asset management across Head Office and branches to ensure a smooth, compliant, and efficient workplace experience.
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2.0 Year(s) To 5.0 Year(s)
2.40 LPA TO 3.00 LPA
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4.0 Year(s) To 6.0 Year(s)
10.00 LPA TO 12.00 LPA
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4.0 Year(s) To 6.0 Year(s)
15.00 LPA TO 22.27 LPA
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1 Opening(s)
1.0 Year(s) To 4.0 Year(s)
3.60 LPA TO 4.20 LPA
Position: Mechanical Designer
Experience: 1-4 years
Location: Gandhinagar
Skills Required:
∙Proficiency in 3D CAD software (preferably SolidWorks or Autocad).
∙Experience in plastic and metal mould design.
∙Knowledge of 3D printing design considerations.
∙Basic understanding of manufacturing processes and tolerances.
∙Ability to read and create technical drawings.
∙Exposure to BOM and document handling of systems.
Job Role:
∙Design and develop components for industrial and automation systems.
∙Create and revise 3D models and 2D manufacturing drawings.
∙Coordinate with cross-functional teams for design feasibility.
∙Support in prototyping and design documentation.