314 Job openings found

  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 ...

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 ...

An Operations Executive oversees daily business processes, aligning internal resources with company goals to drive efficiency. They act as the bridge between planning and execution, streamlining workflows, managing vendors, and preparing performance reports.  Key Responsibilities Process Optimization: Streamline day-to-day operations by monitoring performance metrics and identifying bottlenecks. Vendor & Client Management: Coordinate with ...

Business Data analyst responsibilities include conducting full lifecycle analysis to include requirements, activities and design. Data analysts will develop analysis and reporting capabilities. They will also monitor performance and quality control plans to identify improvements. Responsibilities Interpret data, analyze results using statistical techniques and provide ongoing reports Develop and implement databases, data collection systems, data ...

About the Role The organization is a global leader in engineered solutions serving critical industries and large-scale infrastructure. This role is part of a high-performing finance function and involves ownership of financial reviews, taxation, compliance, and audit coordination. As a Financial & Taxation Analyst, you will be responsible for reviewing financial transactions, ...