314 Job openings found

. 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 ...

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 ...

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, ...

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 ...

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 

  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 ...

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 ...

Marketing Strategy Development: Strategic Planning: Develop and implement comprehensive marketing strategies to promote the institution’s programs, courses, and events. Brand Positioning: Establish and maintain a strong brand presence across various platforms, ensuring consistent messaging that aligns with the institution’s values and mission. Audience Segmentation: Identify and segment target audiences (prospective students, parents, alumni, ...

An IT Engineer in Real Estate manages technology supporting agents and operations, handling software (CRM, listings), hardware (networks, devices, servers), user support, data security, and potentially PropTech (property technology) like AI tools or digital platforms, bridging technical needs with business goals like sales, leasing, and property management for efficiency and growth, according to ...

An ERP Computer Operator manages, updates, and validates accurate business data within systems like SAP, Oracle, or Microsoft Dynamics. They are responsible for daily data entry, monitoring system performance, generating reports, troubleshooting errors, and supporting end-users to ensure data integrity across modules like inventory, finance, and HR.    Key Responsibilities Data Entry & Maintenance: Perform ...