1 Opening(s)
4.0 Year(s) To 6.0 Year(s)
10.00 LPA TO 12.00 LPA
Role Overview
The organization is seeking a qualified Consultant (IT Implementation) to support technology-driven projects for Central and State Government departments. The role focuses on IT solution implementation, system integration, process automation, digital transformation, and e-governance initiatives.
The ideal candidate will have hands-on experience delivering government IT projects and will support project ...
1 Opening(s)
12.0 Year(s) To 20.0 Year(s)
40.00 LPA TO 60.00 LPA
Position Summary
We are seeking an exceptional leader to drive operational excellence, scale manufacturing capabilities, and achieve global competitiveness while ensuring compliance with CDSCO, EMA, and EU MDR requirements.
Key Responsibilities
Oversee end-to-end manufacturing operations across all sterile/aseptic product lines
Scale production capacity to support 2X revenue growth through CMO partnerships and captive expansion
Drive ...
2 Opening(s)
8.0 Year(s) To 12.0 Year(s)
4.20 LPA TO 4.80 LPA
A Logistics Marketing Manager drives B2B growth by building brand presence and generating leads for supply chain services (e.g., freight forwarding, warehousing). They design strategic campaigns, analyze market trends, and equip sales teams with tools to win corporate contracts in a highly competitive industry. [1, 2, 3, 4, 5]
Key Responsibilities
Lead ...
1 Opening(s)
3.0 Year(s) To 4.0 Year(s)
3.00 LPA TO 4.00 LPA
An ICWA Officer—now officially known as a Cost and Management Accountant (CMA) in India—is responsible for managing costs, auditing, financial planning, and improving operational efficiency within an organization. They specialize in analyzing cost structures, inventory valuation, and budgetary control to help management make informed financial decisions.
Core Responsibilities
Cost Accounting & Control: Developing, implementing, ...
1 Opening(s)
1.0 Year(s) To 3.0 Year(s)
2.16 LPA TO 2.64 LPA
An IT Engineer in a steel manufacturing plant bridges the gap between Information Technology (IT) and Operational Technology (OT). They manage plant-wide networks, ensure system uptime for heavy machinery, and support software applications that track steel production, quality, and supply chain logistics. [1, 2, 3, 4]
Key Responsibilities
OT/IT Integration: Connect and ...
1 Opening(s)
10.0 Year(s) To 25.0 Year(s)
18.00 LPA TO 27.00 LPA
Job Title:
Logistics & Supply Chain Head (Top Level) Location: On-Site | Democratic Republic of Congo (DRC)
Company Overview:
A leading retail group in the Democratic Republic of Congo (DRC) is seeking an experienced and strategic Logistics & Supply Chain Head to lead and oversee its end-to-end supply chain operations. The organization is ...
1 Opening(s)
2.0 Year(s) To 10.0 Year(s)
1.80 LPA TO 6.00 LPA
A General Manager (GM) of Marketing for a hospital drives patient acquisition and brand visibility by developing comprehensive marketing strategies, managing digital and traditional campaigns, and fostering community outreach. They oversee brand positioning, analyze market trends, build referral networks, and manage budgets to achieve organizational growth.
Key Responsibilities
Strategic Planning: Formulate brand plans and ...
1 Opening(s)
3.0 Year(s) To 5.0 Year(s)
6.00 LPA TO 7.20 LPA
Reporting To: Head of Training Work Mode: Work from Office (6 Days a Week)
Role Overview
PropertyPistol is looking for a dynamic, process-driven Sales Trainer to strengthen our Learning & Development function. Reporting to the Head of Training, this role plays a critical part in driving sales excellence by equipping teams with ...
1 Opening(s)
10.0 Year(s) To 15.0 Year(s)
45.00 LPA TO 50.00 LPA
Role Overview
The Risk Lead – Digital Lending is responsible for managing credit risk, fraud risk, and portfolio risk for digital personal loan products. The role ensures that lending decisions balance growth and profitability while minimizing defaults and fraud.
Key Responsibilities
1. Credit Risk Strategy
Develop and implement credit risk policies for personal loans.
Define ...
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