1 Opening(s)
4.0 Year(s) To 8.0 Year(s)
5.00 LPA TO 8.00 LPA
Job Description:Manage the recovery of Non-Performing Assets (NPA) and written-off cases related to Loan Against Property (LAP).Lead and motivate the collections team to achieve resolution and recovery targets.Coordinate with the legal team for recovery actions under the SARFAESI Act and Section 138 of the Negotiable Instruments Act.Negotiate settlements with borrowers ...
1 Opening(s)
4.0 Year(s) To 7.0 Year(s)
4.00 LPA TO 5.50 LPA
Sales Head/ Inside Sales Manager (Tele-Sales / Business Development)
🧠Key Responsibilities
Lead and manage the inside sales/telesales team to meet revenue goals.
Drive strategic planning and execution to expand market reach.
Monitor KPIs and ensure consistent achievement of sales targets.
Develop and refine sales processes for efficiency and scalability.
Coach, mentor, and upskill junior sales ...
1 Opening(s)
5.0 Year(s) To 7.0 Year(s)
4.90 LPA TO 5.50 LPA
TITLE: HUMAN RESOURCES EXECUTIVE
1.2 JOB SUMMARY
The primary objective of the Human Resources Executive is to support HR Manager for all aspect of Human Resource practices and processes. Most importantly ensuring all the employees in the organisation are happy and at their productive best. Also ensure a smooth channel of communication ...
2 Opening(s)
3.0 Year(s) To 6.0 Year(s)
17.00 LPA TO 21.00 LPA
We are looking for a dynamic and results-driven Financial Controller to lead the Group's financial planning, analysis, and control functions. This role will oversee the entire finance operations, including FP&A, P&L management, MIS reporting, and critically, Accounts Payable (AP) and Accounts Receivable (AR) processes. The Financial Controller will play a ...
2 Opening(s)
10.0 Year(s) To 12.0 Year(s)
11.00 LPA TO 12.00 LPA
Responsible for driving sales growth of Industrial & Architectural Screens (IAS) across Western India by managing key sectors like Starch, Sugar, Paper, Mining, and Water/ETP. The role involves lead generation, client visits, technical discussions, and closing orders. Also includes securing product approvals, handling tenders, and coordinating with internal teams for ...
2 Opening(s)
1.0 Year(s) To 5.0 Year(s)
1.80 LPA TO 2.40 LPA
Key Responsibilities:* Manage client interactions and communications effectively.* Handle mutual fund account openings, KYC processes, and other related documentation.* Coordinate with mutual fund companies, insurance providers, and financial partners regarding ongoing investments.* Track internal documents, maintain data records, and follow up with respective parties.* Manage basic social media platforms for ...
10 Opening(s)
2.0 Year(s) To 5.0 Year(s)
6.00 LPA TO 9.00 LPA
Job Description:
Sign Contracts with restaurants along and handle the inquiries from existing and new clients
Gather sales leads from the market and approach restaurants actively, from no stars to 5 stars and get them on board with the company as a partner
Maintaining a strong relationship with restaurant owners and advising them ...
3 Opening(s)
5.0 Year(s) To 9.0 Year(s)
5.00 LPA TO 8.00 LPA
Responsible for setting up the distribution network for Small Machinery Finance Dealership management: Conducting a survey of dealers in the market for a given set of products.
Liaison with the network for sourcing new business
Achieve sales targets for a given basket of products through, Machine manufacturers, OEM, and open market sourcing.
Recommend ...
1 Opening(s)
2.0 Year(s) To 5.0 Year(s)
5.00 LPA TO 7.00 LPA
Role and Responsibilities
• Outreach and Branding activities:
Manage the Org's Website with timely updates
a. Writing and editing news pieces
b. Support centers for addition and updating on their page
c. Maintaining design language on organization's website and ensuring quality.
d. Uploading in Podcast libraries
Administer various social media platforms
a. Posts on all platforms
b. Daily track ...
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