305 Job openings found

7 Opening(s)
5.0 Year(s) To 8.0 Year(s)
10.00 LPA TO 18.00 LPA
. Data Scientist – KMPL Support Services – Analytics Location: Mumbai Grade: M1 to M4 Reports to: Lead/Principal Data Scientist Role Overview: Responsible for building analytical models for the banking, NBFC, and insurance sectors. Utilize machine learning algorithms or statistical models to optimize business processes across the customer lifecycle. Key Responsibilities: Develop and deploy machine learning ...
2 Opening(s)
0 To 1.0 Year(s)
1.80 LPA TO 2.16 LPA
A Graduate Engineer Trainee (GET) - Operations in a steel manufacturing company is an entry-level position designed to train engineering graduates in the core processes of steel production. The GET works under senior engineers to learn, monitor, and improve operations within departments such as the Blast Furnace, Steel Melting Shop (SMS), ...
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 ...
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)
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)
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)
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)
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 

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