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)
15.0 Year(s) To 25.0 Year(s)
35.00 LPA TO 50.00 LPA
Description:
The Head of HR ( VP – HR India) will sit at the intersection of execution, strategy, and people analytics, responsible for running today’s HR engine while designing and embedding people systems that work at 1,000+ and 10,000+ scale.
We are looking for candidates who have built at scale—not those who ...
1 Opening(s)
1.0 Year(s) To 3.0 Year(s)
10.00 LPA TO 18.00 LPA
About the Company
Our client is an emerging leader in AI-powered supply chain optimization. Their platform helps businesses eliminate overstocking and under-stocking by leveraging advanced analytics and forecasting models. Built by supply-chain experts, the organization focuses on enabling high-growth startups to scale seamlessly by aligning supply with demand through data-driven decisions.
Key ...
1 Opening(s)
2.0 Year(s) To 4.0 Year(s)
Not Disclosed by Recruiter
About the Company
Our client is an emerging leader in AI-powered supply chain optimization. Their platform helps businesses eliminate overstocking and under-stocking by leveraging advanced analytics and forecasting models. Built by supply-chain experts, the organization focuses on enabling high-growth startups to scale seamlessly by aligning supply with demand through data-driven decisions.
Key ...
1 Opening(s)
2.0 Year(s) To 4.0 Year(s)
5.50 LPA TO 8.00 LPA
Job Description
We are looking for a Cloud & DevOps Engineer who will mainly work on Azure and support our development and operations teams. The focus of this role is managing Azure services, automation, and CI/CD pipelines. Knowledge of Intune is a plus but not mandatory.
Key Responsibilities
1. Azure DevOps & Pipelines
Build, ...
2 Opening(s)
4.0 Year(s) To 6.0 Year(s)
15.00 LPA TO 24.00 LPA
Role Overview
We are seeking a high-calibre AI Engineer – Lead to spearhead end-to-end design, deployment, and lifecycle management of AI/ML solutions. The role is critical to driving automation, predictive analytics, and data-driven intelligence across business use cases, ensuring scalable and compliant AI deployments.
Key Responsibilities
Design, develop, and deploy AI/ML models aligned to defined business use ...
1 Opening(s)
5.0 Year(s) To 7.0 Year(s)
10.00 LPA TO 13.00 LPA
About the Role
The organization is a global leader in engineered solutions serving critical industries and large-scale infrastructure. This role is part of a high-performing finance function and involves ownership of financial reviews, taxation, compliance, and audit coordination.
As a Financial & Taxation Analyst, you will be responsible for reviewing financial transactions, ...
1 Opening(s)
2.0 Year(s) To 4.0 Year(s)
8.00 LPA TO 12.00 LPA
We are looking to hire a consultant to lead the delivery of analytics implementation and optimisation solutions. The analytics consultant will work primarily with Google Analytics (360) but will also have opportunities within Adobe Analytics. Depending on their skillset and interests, they may also work with Conversion Rate Optimisation tools ...
1 Opening(s)
2.0 Year(s) To 3.0 Year(s)
3.00 LPA TO 3.84 LPA
Role Overview: As a Social Media Marketing Executive , you will play a pivotal role in shaping our online presence and executing social media strategies for both XGC and our agency clients. You will be responsible for the end-to-end management of social media activities, from content creation and community engagement ...
1 Opening(s)
2.0 Year(s) To 4.0 Year(s)
5.00 LPA TO 7.00 LPA
We are looking for an experienced and result-driven Digital Marketing Executive to join our marketing team! As a Digital Marketing Executive at our company, you will be responsible for setting up, implementing and managing the overall company's digital marketing strategy.
Digital marketing strategies are extremely important for our company's success, so ...