Clv Jobs – Apply to Latest Clv Job Vacancies

3.0 - 8.0 years

15 - 30 Lacs

Navi Mumbai, Pune

Work from Office

We're Hiring: Data Scientist Databricks & ML Deployment Expert Location: Mumbai/Pune Experience: 38 Years Apply Now! Are you passionate about deploying real-world machine learning solutions? We're looking for a versatile Data Scientist with deep expertise in Databricks, PySpark , and end-to-end ML deployment to drive impactful projects in the Retail and Automotive domains. What Youll Do Develop scalable ML models (Regression, Classification, Clustering) Deliver advanced use cases like CLV modeling , Predictive Maintenance , and Time Series Forecasting Design and automate ML workflows on Databricks using PySpark Build and deploy APIs to serve ML models (Flask, FastAPI, Django) Own model deployment and monitoring in production environments Work closely with Data Engineering and DevOps teams for CI/CD integration Optimize pipelines and model performance (code & infrastructure level) Must-Have Skills Strong hands-on with Databricks and PySpark Proven track record in ML model development & deployment (min. 2 production deployments) Solid grasp of Regression, Classification, Clustering & Time Series Proficiency in SQL , workflow automation, and ELT/ETL processes API development (Flask, FastAPI, Django) CI/CD, deployment automation, and ML pipeline optimization Familiarity with Medallion Architecture Domain Expertise Retail : CLV, Pricing, Demand Forecasting Automotive : Predictive Maintenance, Time Series Nice to Have MLflow, Docker, Kubernetes Cloud: Azure, AWS, or GCP If you're excited to build production-ready ML systems that create real business impact, we want to hear from you! Apply Now to chaity.mukherjee@celebaltech.com.

Posted 1 day ago

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Digital Marketing Professional Aliens Group

0.0 - 3.0 years

9 - 13 Lacs

Hyderabad

Work from Office

Roles and Responsibilities: - Develop and execute comprehensive performance marketing strategies for customer acquisition and conversion. - Conduct market research, competitor analysis, and customer segmentation to optimize campaign targeting. - Collaborate with cross-functional teams for creating compelling marketing assets. - Manage and optimize campaigns, including budget allocation, bid management, and landing page optimization. - Analyze key metrics (CPA, ROAS, CLV) for data-driven decision-making. - Utilize marketing tools (e.g., Google Ads, Facebook Ads Manager, Google Analytics) for monitoring and insights. - Prepare and present performance reports to senior management. - Stay updated on industry trends and lead a team of specialists, fostering collaboration and professional development. - Drive campaigns within allocated budgets, ensuring positive ROI. - Develop and implement strategies aligned with business goals, leveraging data-driven insights for optimization.

Posted 1 week ago

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