68 Recommender Systems Jobs

Role Overview: You will be part of the team at Oracle Health & AI that focuses on product development and strategy for Oracle Health, while contributing to the building of a platform for modernized, automated healthcare. This entrepreneurial environment promotes creativity and energy, aiming to establish a world-class engineering center with a focus on excellence. As a member of the Oracle Digital Assistant (ODA) team, you will work on creating skills and digital assistants using Conversational AI and Generative AI capabilities in a low-code paradigm. Your role will involve developing industry-leading solutions in the Healthcare domain, which will be productized as features in end products. ...

• Proficiency with Python (Pandas, NumPy), SQL, and Java. • Experience with LLMs, Lang Chain, and Generative AI technologies. • Familiarity with ML frameworks (TensorFlow, PyTorch) and data engineering tools (Spark, Kafka). • Microservices, CI CD, ML Required Candidate profile • Machine Learning, NLP, Recommender system, personalization, Segmentation, microservice architecture & API development • Data engineering concepts like data lakes, columnar formats, ETL & BI tools

Role Overview: As a Senior Data Scientist specializing in Natural Language Processing (NLP), recommendation engines, and neural search technologies, you will be pivotal in the development and deployment of advanced data-driven models and systems. Your expertise and experience, along with a focus on shaping data products and services, will be instrumental in driving the future of our organization. Key Responsibilities: - Develop Machine Learning (ML) models tailored to meet diverse product requirements. - Analyze client data comprehensively to gain insights into data patterns and challenges. - Manage data modifications and monitor model performance consistently. - Enhance embedding and large ...

Role Overview: At ZS, you will work as a Data Science Consultant, designing and executing high-impact analytics solutions for large, complex data sets. You will collaborate with engineering teams to deploy optimization-based solutions efficiently and effectively. Your role will involve leading the development of data science capabilities, engaging with clients to communicate analysis findings, evaluating emerging datasets and technologies, and contributing to thought leadership through research and publications. Additionally, you will guide and manage project teams of Associates/Associate Consultants. Key Responsibilities: - Execute and lead application of numerical optimization techniques o...

Role Summary: Designs and deploys advanced machine learning models and systems to solve complex business problems and drive data-driven decision-making. Roles & Responsibilities: Develop and optimize machine learning models for production. Collaborate with data scientists and engineers to deploy scalable solutions. Conduct research and implement state-of-the-art algorithms. Monitor model performance and retrain as needed. Ensure data integrity and compliance with privacy standards. Qualifications: Masters or PhD in Computer Science, AI, or related field. 5+ years of experience in machine learning and data science. Key Skills: Python, R TensorFlow, PyTorch, Scikit-learn Data preprocessing and...

As a Software Engineer III at JPMorganChase within the AI/ML & Data Platform team, you will be a seasoned member of an agile team responsible for designing and delivering trusted market-leading technology products in a secure, stable, and scalable manner. Your role involves executing software solutions, design, development, and technical troubleshooting with the ability to think innovatively to build solutions and address technical challenges. You will create secure and high-quality production code while maintaining algorithms synchronously with relevant systems. Additionally, you will produce architecture and design artifacts for complex applications, ensuring design constraints are met by ...

Key Responsibilities 1. Contribute to data preprocessing, model training, and evaluation. 2. NLP, Computer Vision, Recommender Systems, or GenAI. 3.Explore new research papers, tools, 4.Python & SQL skills with knowledge of DS & algorithms.

Role Overview: As a Machine Learning Engineer / Data Scientist at our company, your role as a Team Manager involves managing client expectations and collaborating with stakeholders to meet customer requirements effectively. Key Responsibilities: - Develop machine learning models to support recommendation systems and NLP projects. - Provide actionable insights for product and service optimization. - Build and maintain scalable ETL pipelines and optimize data storage solutions (data lakes, columnar formats). - Ensure data accuracy and reliability for analytics. - Analyze complex datasets to uncover trends and patterns. - Generate and present insights that drive strategic decisions and enhance ...

• Proficiency with Python (Pandas, NumPy), SQL, and Java. • Experience with LLMs, Lang Chain, and Generative AI technologies. • Familiarity with ML frameworks (TensorFlow, PyTorch) and data engineering tools (Spark, Kafka). • Microservices, CI CD, ML Required Candidate profile • Machine Learning, NLP, Recommender system, personalization, Segmentation, microservice architecture & API development • Data engineering concepts like data lakes, columnar formats, ETL & BI tools

Data Science Associate Consultant Data Science Associate Consultant (DSA) design, develop and execute high-impact analytics solutions for large, complex, structured and unstructured data sets (including big data) to help clients make better fact-based decisions. What Youll D o : Stay updated with the latest developments in Deep Learning and AI research. Implement and fine-tune advanced models in deep learning, with a focus on Transformers for sequential data (e.g., time series, text, and vision). Apply knowledge of large language model (LLM) fine-tuning and alignment approaches to improve model performance. Utilize active learning techniques to train models more efficiently and effectively. ...

Data Science Consultants design, develop and execute high-impact analytics solutions for large, complex, structured, and unstructured data sets (including big data) to help clients make better fact-based decisions. What Youll Do Execute and lead application of numerical optimization techniques on large, unstructured data sets to solve problems Collaborate with engineering teams to deploy optimization based solutions on datasets of large dimensionality to create practical solutions that achieve desired results in a computationally efficient and statistically effective manner; Play a key role in development of data science capabilities for solving problems and offerings that create scale and a...

You will be working as a core member of a specialist team at Clari5.ai, defining, prototyping, and implementing data science models and algorithms as part of the product. Your responsibilities will include taking ownership of the data science model from data collection to model building to monitoring the model in production. You will collaborate with product managers and domain experts to drive business outcomes and metrics through data science solutions. Additionally, you will work with the product managers and engineering team to establish best practices and conduct internal workshops. Mentoring junior colleagues and integrating data-driven decision making into the organization's culture w...

About the Role In this role you will work closely with product, engineering and sales teams to drive the use of Data Science across the Verve Group, collaborate with our audience-focused Data Science team and with the Machine Learning Engineers to engineer prototypes into solutions. What You Will Do DOMAIN In this role your main focus would be on our Ad-Exchange Optimization projects Win Price Prediction in various auctions setups - 1st price, 2nd price, Waterfall Supply forecasting Modeling time dependent supply availability Demand forecasting — Modeling time dependent demand interest Inventory valuation — Assessing true value of inventory in open market Traffic Shaping — Time dependent sup...

About the Role In this role you will work closely with product, engineering and sales teams to drive the use of Data Science across the Verve Group, collaborate with our audience-focused Data Science team and with the Machine Learning Engineers to engineer prototypes into solutions. What You Will Do DOMAIN In this role your main focus would be on our Ad-Exchange Optimization projects Win Price Prediction in various auctions setups - 1st price, 2nd price, Waterfall Supply forecasting Modeling time dependent supply availability Demand forecasting — Modeling time dependent demand interest Inventory valuation — Assessing true value of inventory in open market Traffic Shaping — Time dependent sup...

About the Role In this role you will work closely with product, engineering and sales teams to drive the use of Data Science across the Verve Group, collaborate with our audience-focused Data Science team and with the Machine Learning Engineers to engineer prototypes into solutions. What You Will Do DOMAIN In this role your main focus would be on our Ad-Exchange Optimization projects Win Price Prediction in various auctions setups - 1st price, 2nd price, Waterfall Supply forecasting Modeling time dependent supply availability Demand forecasting — Modeling time dependent demand interest Inventory valuation — Assessing true value of inventory in open market Traffic Shaping — Time dependent sup...

You will be joining Target's Data Science & Engineering team in Bengaluru, India, as a part of a global team of over 4,000 professionals. Your role will involve developing and managing predictive algorithms to automate and optimize decisions at scale. You will work on creating solutions for Marketing, Supply Chain Optimization, Network Security, and Personalization using Target's vast data resources. Key Responsibilities: - Develop and manage state-of-the-art predictive algorithms - Harness Target's data breadth to build algorithms for Marketing, Supply Chain Optimization, Network Security, and Personalization - Work on 1-1 personalization of Marketing content, including creation, personaliz...

As a passionate individual excited by the potential of Real-World Data (RWD) and AI, you have the opportunity to join the data42 team at Novartis and contribute to the discovery of groundbreaking medical insights. At Novartis, the data42 platform provides access to high-quality preclinical and clinical data, along with RWD, enabling the development of advanced AI/ML models and health insights by a global team of data scientists and engineers. **Role Overview:** As an RWD SME / RWE Execution Data Scientist at Novartis, your focus will be on executing innovative methodologies and AI models to mine RWD on the data42 platform. You will play a crucial role in understanding patient populations, bi...

Role Overview: Join us as a Machine Learning/Artificial Intelligence Engineer, responsible for supporting the successful delivery of Location Strategy projects to plan, budget, agreed quality and governance standards. You'll spearhead the evolution of our digital landscape, driving innovation and excellence. You will harness cutting-edge technology to revolutionize our digital offerings, ensuring unparalleled customer experiences. Key Responsibilities: - Good years of experience in IT with a background in Development, Machine Learning, and/or Data analysis. - Hands-on experience of NLP/AI/ML tools & technologies such as GPT, BERT, or other language models. - Experience in building GenAI appl...

As a Senior Machine Learning/AI Manager at CDK, you will lead and mentor a team of scientists and engineers to deliver high-quality ML/AI solutions. You will own the full ML lifecycle from data exploration and feature engineering to model deployment and monitoring. Your role will involve architecting and implementing models for recommendation systems, classification, forecasting, and generative AI use-cases. Collaborating cross-functionally with product, engineering, and MLOps teams will be crucial to translate business needs into scalable ML solutions. Utilizing LLMs and Retrieval-Augmented Generation (RAG) to build intelligent customer experiences will be a key aspect of your responsibilit...

• Proficiency with Python (Pandas, NumPy), SQL, and Java. • Experience with LLMs, Lang Chain, and Generative AI technologies. • Familiarity with ML frameworks (TensorFlow, PyTorch) and data engineering tools (Spark, Kafka). • Microservices, CI CD, ML Required Candidate profile • Machine Learning, NLP, Recommender system, personalization, Segmentation, microservice architecture & API development • Data engineering concepts like data lakes, columnar formats, ETL & BI tools

As a Software Engineer III at JPMorganChase within the AI/ML & Data Platform team, you will play a critical role in designing and delivering market-leading technology products. Here's a summary of what you can expect in this role: **Role Overview:** You will be a seasoned member of an agile team, responsible for executing software solutions, design, development, and technical troubleshooting. Your role involves creating secure and high-quality production code, maintaining algorithms, and producing architecture and design artifacts for complex applications. Additionally, you will gather, analyze, synthesize, and develop visualizations and reporting from large data sets to drive continuous imp...

As a Software Engineer III at JPMorganChase within the AI/ML & Data Platform team, you will play a crucial role in designing and delivering trusted technology products in a secure, stable, and scalable manner. Your responsibilities will involve executing software solutions, troubleshooting technical issues, and creating secure production code that aligns with design constraints. Additionally, you will be involved in analyzing and synthesizing data sets to drive continuous improvement in software applications. **Key Responsibilities:** - Execute software solutions, design, development, and technical troubleshooting with innovative approaches - Create secure and high-quality production code, m...

As an AI Model Validation Engineer at Leadsoc Technologies in Hyderabad, you will be responsible for validating AI models with a strong background in machine learning fundamentals. Your expertise in deep learning, large language models, and recommender systems within the embedded domain will be essential for this role. To excel in this position, you must possess a solid understanding of validation processes, defects, and the software development life cycle. Proficiency in Ubuntu/Yocto Linux is crucial, along with experience working with open-source frameworks such as PyTorch, TensorFlow, and ONNX-Runtime. Your role will also involve profiling ML workloads and executing validation plans for A...

As a Machine Learning Engineer at Mercari, you will play a crucial role in developing and enhancing the functions and services of the Mercari marketplace app by working on machine learning systems, specifically in the Recommendation domain. Your responsibilities will include developing and optimizing machine learning algorithms and models to improve the recommendation system, collaborating with cross-functional teams to implement features that enhance user engagement, conducting data analysis to refine recommendation algorithms, and deploying scalable recommendation solutions using machine learning frameworks and libraries. Mercari, a Japan-based C2C marketplace company with a global presenc...

What Youll Do? Within the Sharechat AI team, we are looking for an experienced Staff ML engineer to lead the ML efforts around improving personalization models, leading efforts across 10+ MLEs and decision scientists working on feed ranking and candidate generation systems that power Sharechats recommender systems. In this role you will help us further improve our recommendation systems, and act as a subject matter expert in the recommender systems and ML ranking domains. You would be joining us at an exciting time! The science behind recommendation systems is rapidly changing, and were making big progress at a rapid pace. Who are you? * Design and help develop systems that serve recommendat...