10 Opening(s)
10.0 Year(s) To 15.0 Year(s)
14.00 LPA TO 18.00 LPA
The ideal candidate will be responsible for ensuring design excellence, technical precision, and adherence to all relevant codes and client specifications — serving as both a creative visionary and a technical authority throughout the project lifecycle.
Key Responsibilities:
Lead the design and development of architectural projects from initial concept to final implementation.
Coordinate ...
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)
10.00 LPA TO 14.00 LPA
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2.40 LPA TO 3.00 LPA
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2.00 LPA TO 4.00 LPA
The MICE Executive / Assistant will support the planning, coordination, and execution of corporate events, incentive programs, meetings, and conferences. This role involves operational assistance, client coordination, vendor communication, and on-ground support to ensure each event runs smoothly and meets All4Season’s quality standards.
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0.6 Year(s) To 3.5 Year(s)
2.00 LPA TO 3.00 LPA
Qualification: BE/BE TECH—only from the Electronics and Communication System (EC) / Electrical & Electronics System (EEC) field is preferable.- Candidates should be very good in basic technical & maths
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1 Opening(s)
1.0 Year(s) To 3.0 Year(s)
2.40 LPA TO 3.00 LPA
We are looking for a reliable Office Administrator to join our team. The ideal candidate will be responsible for overseeing daily office operations, providing administrative support, and ensuring efficient workflow within the organization. This role requires strong organizational skills, attention to detail, and the ability to multitask effectively.
Key Responsibilities:
Office Coordination: Manage ...