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10.0 - 18.0 years
16 - 30 Lacs
hyderabad
Hybrid
Experience: Minimum of 10 years in sales analytics, business intelligence, or a related analytics function, ideally within a fast-paced commercial environment. Technical Skills: Proficiency in data analysis tools such as Excel, SQL, and PowerBI using Prompt based AI to deliver results quickly Experience with CRM systems (such as Jupiter) and familiarity with sales pipeline metrics and reporting. Strong understanding of data modeling, data visualization, and dashboard creation. Ability to extract, clean, and interpret large datasets to generate actionable insights. Soft Skills: Proactive, initiative taker, and able to work independently. Keen and original thinker with an intuitively analytica...
Posted 4 days ago
18.0 - 22.0 years
35 - 55 Lacs
navi mumbai
Work from Office
Assistant Vice President - Data Science Experience: 18 - 22 years of total relevant experience. Minimum of 4 years in leadership roles in Artificial Intelligence & Machine Learning (AI/ML) Deep experience in building end to end AI/ML based applications along with big data technologies Expertise in machine learning, statistical modelling, and data mining techniques. Proficiency in Python, R, or similar programming languages, and experience with big data tools (e.g., Spark, Hadoop). Deep understanding of AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-learn. Knowledge of cloud platforms (OpenShift, AWS, GCP) and MLOps pipelines. Experience with data visualization tools (e.g., Power BI)...
Posted 1 week ago
1.0 - 4.0 years
4 - 8 Lacs
hyderabad
Work from Office
experience using analytical tools/languages, Libraries. Experience in designing and developing machine learning systems or AI products, implementing appropriate ML algorithms popular ML frameworks
Posted 1 month ago
2.0 - 6.0 years
0 Lacs
karnataka
On-site
As an AI/ML Engineer with 6+ years of experience, located in Bangalore with a hybrid work mode, you will play a crucial role in designing and implementing cutting-edge AI Agents to optimize cloud resource allocation, auto-scaling, and performance tuning. Your responsibilities will include developing predictive models for failure detection, incident management, and system health monitoring, as well as automating operational workflows using machine learning and intelligent scripting. Additionally, you will integrate AI-driven insights with existing cloud monitoring tools and collaborate with DevOps and SRE teams to deploy, monitor, and improve ML models in production environments. Conducting a...
Posted 1 month ago
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