141 Job openings found

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)
8.0 Year(s) To 12.0 Year(s)
9.00 LPA TO 12.00 LPA
Job Title: Senior Manager – Debt CollectionsLocation: Ahmedabad, IndiaReporting To: ManagementCompany Type: NBFC – Lending FintechProduct: Unsecured Short-Term Personal LoansRole SummaryThe Senior Manager – Debt Collections will own and scale the collections and recoveryfunction for unsecured short-term personal loans. This role requires a strong understandingof high-velocity, high-frequency repayment cycles, data-led ...
1 Opening(s)
5.0 Year(s) To 8.0 Year(s)
6.00 LPA TO 12.00 LPA
 Role Overview: We are seeking a Data Management Expert with 5+ years of experience to oversee and optimize data systems . The role involves managing large datasets, ensuring data accuracy, supporting decision-making, and integrating digital solutions to improve transparency and efficiency in public services. Key Responsibilities Data collection from concerned departments and data ...
1 Opening(s)
4.0 Year(s) To 7.0 Year(s)
10.00 LPA TO 13.00 LPA
As a sales Manager, you will be responsible for identifying, cultivating, and closing new business opportunities within your assigned territory or industry vertical. You will play a pivotal role in driving revenue growth by selling our IT products and services to prospective clients. Roles and Responsibilities: Identify and research potential clients and ...
1 Opening(s)
5.0 Year(s) To 7.0 Year(s)
10.00 LPA TO 12.00 LPA
Role Overview We are looking for a strong HR Operations–focused HR Manager who can independently manage people engagement, rapid recruitment, onboarding, statutory compliance, HR automation, and cost-controlled HR processes in a manufacturing environment. This is a hands-on role requiring close collaboration with department heads to reduce attrition, close vacancies quickly, ensure 100% ...
1 Opening(s)
3.0 Year(s) To 6.0 Year(s)
Not Disclosed by Recruiter
This role spans administration, financial analysis, cost optimization, operational efficiency, technology adoption, and executive communication. The ideal candidate is structured, tech-savvy, analytically strong, and execution-oriented, capable of bringing professional rigor to a promoter-driven environment. Key Responsibilities Business Operations & Administration Oversee day-to-day operations across group entities Bring process discipline to admin, vendor management, compliance, ...
2 Opening(s)
6.0 Year(s) To 8.0 Year(s)
7.00 LPA TO 10.00 LPA
  About the Role We are seeking a highly skilled Business Analyst with strong experience in the finance and banking domain (6–7 years) to join our FinTech organization. The role requires deep expertise in financial products, loan lifecycle management, and digital financial services along with the ability to gather requirements, design user journeys, and ...
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 ...

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