10 Largescale Datasets Jobs

As a Data Scientist at our company, you will play a crucial role in transforming raw metering data into actionable insights to support decision-making across the organization. Your responsibilities will include: - Analyzing large volumes of smart metering data from MDM and HES systems, including interval consumption, events, read quality, and exceptions. - Identifying and interpreting consumption patterns, anomalies, and trends to provide actionable insights for business and product teams. - Designing and building dashboards, visualizations, and reports using various tools. - Collaborating with cross-functional teams to define data requirements and create meaningful analytics views. - Develo...

Role Overview: As a Machine Learning Engineer at Mercari, you will play a crucial role in developing and maintaining machine learning systems, particularly in the Recommendation domain. Your main responsibility will be to enhance the functions and services of the marketplace app by optimizing machine learning algorithms and models to improve the recommendation system. This will ultimately enhance the discovery experience for users. Key Responsibilities: - Collaborate with cross-functional teams and product stakeholders to gather requirements, design solutions, and implement features to boost user engagement - Conduct data analysis and experimentation with large-scale datasets to identify pat...

As a Senior AI Consultant at G+D, your role involves enabling RAG-based use cases through fine-tuning and prompt engineering expertise. You will be responsible for translating business requirements into actionable RAG solutions, designing tailored workflows, and driving user training to ensure optimal performance and scalability of AI applications. **Key Responsibilities:** - Interpret business needs for structured RAG use cases - Advise on RAG workflows - Configure the SaaS platform - Optimize LLMs for chatbots and text analytics - Lead user training sessions for continuous improvement **Qualifications Required:** - Strong background in AI/ML with hands-on experience in generative AI and RA...

In this role, you will provide strategic leadership for the AI Alignment division, focusing on Trust & Safety, interpretability, and pricing-related information integrity. Your responsibilities will include developing and implementing strategies for AI alignment, driving integration of advanced alignment and safety methods, designing new algorithms and model architectures, building and optimizing large-scale ML/AI models, creating evaluation benchmarks, collaborating with engineering teams, overseeing cloud infrastructure usage, promoting open-source contributions, working with product and research teams, leading cross-functional initiatives, representing the organization in industry forums,...

Role Overview: As a Data Scientist-II at Microsoft Security, you will be part of the Defender Experts (DEX) Research team, working on cutting-edge technologies to protect customers from advanced cyberattacks. Your role will involve exploring attacker behavior, operationalizing entity graphs, and developing statistical and ML-driven models to enhance DEX's detection efficacy. Your work will directly contribute to real-time protections used by enterprises and shape the future of Microsoft Security. Key Responsibilities: - Understand complex cybersecurity and business problems, translate them into well-defined data science problems, and build scalable solutions. - Design and build robust, large...

As a technical leader in the Digital Video Audio (DVA) team at Adobe, you will play a crucial role in shaping the future of powerful Video and Audio Products. Your responsibilities will include: - Leading the design, implementation, and optimization of deep learning models for production applications. - Applying innovative algorithms in areas such as computer vision, image/video processing, and generative models to solve complex business problems. - Collaborating with Product Teams and Researchers to align machine learning projects with business goals. - Guiding technical decision-making and defining standard approaches for model development and training pipelines to achieve business goals. ...

As a Data Scientist at our company, your main role will involve transforming raw metering data into actionable insights and delivering high-quality dashboards and analytics to support operational and strategic decision-making across the organization. Key Responsibilities: - Analyze large volumes of smart metering data such as interval consumption, events, read quality, and exceptions from MDM and HES systems. - Identify and interpret consumption patterns, anomalies, and trends to drive actionable insights for business and product teams. - Design and build dashboards, visualizations, and reports using relevant tools. - Collaborate with product managers, operations, and engineering teams to de...

As a Senior AI Consultant at G+D, your role involves enabling RAG-based use cases through fine-tuning and prompt engineering expertise. You will be responsible for translating business requirements into actionable RAG solutions, designing tailored workflows, and driving user training to ensure optimal performance and scalability of AI applications. Your key responsibilities will include: - Interpreting business needs for structured RAG use cases - Advising on RAG workflows - Configuring the SaaS platform - Optimizing LLMs for chatbots and text analytics - Leading user training sessions for continuous improvement Required skills for this role include: - Strong background in AI/ML with hands-o...

Role Overview: As a Machine Learning Engineer at Mercari, you will be responsible for developing and maintaining machine learning systems, with a focus on the Recommendation domain. Your role will involve optimizing machine learning algorithms and models to enhance the marketplace app's recommendation system, improving the overall user experience. Key Responsibilities: - Collaborate with cross-functional teams and product stakeholders to gather requirements, design solutions, and implement features that enhance user engagement. - Conduct data analysis and experimentation with large-scale datasets to identify patterns, trends, and insights that drive the refinement of recommendation algorithm...

You will be working as a Machine Learning Intern for a duration of 6 months with a stipend of 20k per month. The internship involves a hybrid mode of working, with 3 days in the office and 2 days working from home. Your primary responsibilities will include designing and implementing cutting-edge machine learning models for complex tabular and time series data problems. Additionally, you will be tasked with developing innovative feature engineering techniques to maximize the value extracted from datasets. Researching and applying state-of-the-art algorithms in areas like automated machine learning (AutoML) and neural architecture search will also be part of your role. Furthermore, you will o...