11 Jupiter Jobs

Responsibilities: Design, develop, and maintain robust, scalable, and efficient data pipelines. Build, optimize, and scale the core MLOps infrastructure (IaaS) and data architecture that empowers Data Science and ML Engineering teams. Collaborate with data scientists, analysts, and software engineers to understand data 1 AI needs. Ensure data quality, integrity, and security across all data platforms. Monitor and troubleshoot data pipeline performance and reliability. Work with structured and unstructured data from various sources (APIs, databases, files, etc.). Technical Skills: Strong proficiency in Python, Git, and Jupyter . Solid DevOps experience with GitLab & Terraform . Experience wit...

Responsibilities: Design, develop, and maintain robust, scalable, and efficient data pipelines. Build, optimize, and scale the core MLOps infrastructure (IaaS) and data architecture that empowers Data Science and ML Engineering teams. Collaborate with data scientists, analysts, and software engineers to understand data 1 AI needs. Ensure data quality, integrity, and security across all data platforms. Monitor and troubleshoot data pipeline performance and reliability. Work with structured and unstructured data from various sources (APIs, databases, files, etc.). Technical Skills: Strong proficiency in Python, Git, and Jupyter . Solid DevOps experience with GitLab & Terraform . Experience wit...

Experience using analytical tools/languages, Libraries. Experience in designing and developing machine learning systems or AI products, implementing appropriate ML algorithms popular ML frameworks

Assistant Vice President - Data Science Experience: 20 - 24 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)...

Summary Position Summary Industry Finance Business Partner (USI Role Industry & Client Excellence) DM Level Work you'll do An Industry Finance Business Partner (USI) will have an important role in supporting the Industry and Client Excellence teams to deliver leadership support for both Industry as a whole and Client Excellence by providing insights, analysis, and reporting around industry, client portfolio and client parent accounts. The Consulting Finance organization provides specialized finance-related services in support of the business leaders of the firm.This specific role focuses on Consulting's Industries and Client Excellence.The Business Partner will provide key support of core fi...

Requirements Min. 5 to 8 years of relevant QA experience Experience in testing complex technical projects Solid knowledge of QA theory System thinking Excellent verbal, numerical and written skills Technical background - basic knowledge of sql/linux Nice to have : Experience in finance business domain Basic programming skills Production/UAT support experience Hands on experience with Exploratory testing

Experience using analytical tools/languages, Libraries. Experience in designing and developing machine learning systems or AI products, implementing appropriate ML algorithms popular ML frameworks

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...

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)...

experience using analytical tools/languages, Libraries. Experience in designing and developing machine learning systems or AI products, implementing appropriate ML algorithms popular ML frameworks

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...