89 Recommender Systems Jobs

Lead the transformation of our self-serve analytics platform by introducing new metrics and drill downs to assist with self-serve diagnostics at scale. Utilize technology to address new problem areas with segmentation analysis, recommender systems, and GenAI applications. Build self-serve tooling and dashboarding to enable data-driven decision making across the organization at scale. Collaborate on in-depth analytical projects, uncover insights, and evaluate headroom to drive product enhancements which improve our developer experience. Design, execute, and analyze experiments to evaluate growth levers and regional launches. Surface insights around emerging markets (India and other APAC count...

As a Machine Learning Engineer / Data Scientist specializing in Generative AI & Data Engineering, your role involves managing client expectations and collaborating with stakeholders to strategize and meet customer requirements. Here is a breakdown of your responsibilities, required skills, and qualifications: **Role Overview:** You will be responsible for developing machine learning models to support recommendation systems and NLP projects. Additionally, you will provide actionable insights for product and service optimization. In terms of data engineering, you will build and maintain scalable ETL pipelines, optimize data storage solutions, and ensure data accuracy and reliability for analyt...

Role Overview: You will be working as a data scientist at a company focusing on developing AI/ML based Enterprise Software Products. Your main responsibility will be to discover valuable information from large datasets and utilize machine learning, natural language processing, and deep learning techniques to address business needs. Additionally, you will be involved in developing high-quality prediction systems and applying Language/Vision techniques. Key Responsibilities: - Collaborate with cross-functional teams to understand data requirements and identify relevant data sources. - Analyze and preprocess data to extract valuable insights and ensure data quality. - Evaluate model performance...

As a Lead ML/AI Scientist at CDK, you will be responsible for mentoring a team to deliver high-quality ML/AI solutions. You will own the full ML lifecycle from data exploration to model deployment. Your role will involve architecting and implementing models for recommendation systems, classification, forecasting, and generative AI use-cases. Collaboration with product, engineering, and MLOps teams to translate business needs into scalable ML solutions will be a key aspect. You will utilize LLMs and Retrieval-Augmented Generation (RAG) for building intelligent customer experiences. Championing model performance, interpretability, and reproducibility across varied domains will be part of your ...

In this role at Bank of America, you will be responsible for developing, retraining, and maintaining AI and machine learning models that adhere to the Banks model governance and compliance standards. You will work with large datasets using Oracle SQL for model input and analysis, apply advanced algorithms such as recommender systems, NLP, and clustering, and collaborate with cross-functional teams to deliver data-driven solutions. Your role will also involve staying current with the latest applied AI innovations and best practices, continuously learning, and improving technical and applied skills. **Key Responsibilities:** - Develop, retrain, and maintain AI and machine learning models. - En...

We are looking for a talented Software Development Engineer (SDE) with strong expertise in Python, Django , and machine learning integration to join our product engineering team. In this role, you will work closely with data scientists to deploy and operationalize ML models into scalable production systems. You will be responsible for developing backend services and APIs, implementing model inference pipelines, ensuring performance optimization, and maintaining reliability and security standards. Key Responsibilities Design and develop backend features and REST APIs in Django for ML-driven applications. Integrate machine learning models built using TensorFlow, PyTorch, Scikit-Learn, etc., in...

• 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: You will be joining the data42 team at Novartis, where you will play a crucial role in leveraging Real-World Data (RWD) and AI to contribute to the discovery of groundbreaking medical insights. Your primary focus will be on executing innovative methodologies and AI models to mine RWD on the data42 platform, ultimately accelerating the development of life-changing medicines. Key Responsibilities: - Collaborate with R&D stakeholders to implement scalable data and technology solutions aligned with the data42 strategy. - Serve as a Subject Matter Expert (SME) in Real World Data (RWD), understanding various modalities, vocabularies, and non-traditional RWD sources. - Contribute to ...

Role & responsibilities Looking for Immediate Joiner or 30days notice period. Skills - Development, AI, ML, Deep Learning, LLM, Gen AI, Agentic Ai, RAG, Recommendation Systems, Predictive Modelling, Regression, Classification, Data Science, EDA, Python, TensorFlow, Pytorch, Scikit-Learn, Cloud, Vertex Ai, Data Scientist, AI & Machine Learning Design, develop, and implement machine learning models for predictive analytics, natural language processing (NLP), computer vision, or recommendation systems. Lead end-to-end AI project lifecycles, including validation, productionization, and optimization using frameworks such as TensorFlow, PyTorch, and scikit-learn. Stay updated with the latest advan...

Role Overview: You will be responsible for leveraging your educational background in Math, Computer Science, Information Systems, Machine Learning, Statistics, Econometrics, Applied Mathematics, Operations Research, or related technical degree to build predictive analytics solutions for various business problems. With over 7 years of experience as a data scientist or statistician, you will utilize advanced knowledge of statistical techniques, machine learning algorithms, and data mining to handle big datasets and convert business problems into optimal data strategies. Your role will involve converting analytical outputs into clear, concise, and persuasive insights for both technical and non-...

As part of our growing global team at Clari5.ai, you will have the opportunity to work for a category leader in Financial Crime Risk Management Systems with a market presence in 15 countries. Your role will involve collaborating with leading financial institutions globally to combat the $4 trillion problem of financial fraud through innovative product solutions. We focus on creating customer-centric predictable enterprises by integrating intelligence into every customer interaction in real-time. **Key Responsibilities:** - Define, prototype, and implement data science models/algorithms as part of the product. - Take ownership of the data science model lifecycle from data collection to monito...

Role Overview: For over 20 years, Smartsheet has been dedicated to helping individuals and teams achieve their goals by providing seamless work management and smart, scalable solutions. The company is currently seeking a Senior Data Scientist to join their Data Science & Business Intelligence team. In this role, you will drive growth and customer retention through Applied AI and advanced analytics, working closely with Sales, Customer Success, and Monetization teams. As a Senior Data Scientist at Smartsheet, you will have the opportunity to make a meaningful impact by leveraging data science to develop predictive models, drive strategies, and integrate data solutions into business processes....

As a Data Scientist, your role involves enhancing interactions across user gaming experiences and systems by designing, coding, training, documenting, deploying, and evaluating large-scale machine learning systems in a cost-effective manner. You will work in an agile environment, collaborating seamlessly with other teams and contributing to the advancement of technical objectives and architectural initiatives with cutting-edge ML technologies, tools, and processes. **Key Responsibilities**: - Develop, implement, and optimize machine learning models for various applications such as predictive safety, content personalization, search, virtual assistant, time series forecasting, and clustering. ...

Role Overview: As a Data Science Associate Consultant at ZS, you will design, develop, and execute high-impact analytics solutions for large, complex structured and unstructured data sets, including big data. Your focus will be on helping clients make better fact-based decisions by staying updated with the latest developments in Deep Learning and AI research, implementing advanced models in deep learning, and collaborating with cross-functional teams to develop and deploy machine learning models in production. Your role will also involve contributing to research projects aimed at advancing the field of AI and machine learning, developing advanced algorithms, and integrating engineering princ...

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 Machine Learning Engineer at Mercari, your role will involve developing functions and services of the marketplace app through the creation and maintenance of machine learning systems, particularly in the Recommendation domain. This includes leveraging necessary infrastructure and companywide platform tools to enhance the marketplace experience for users. You will actively apply advanced machine learning technology to provide a more convenient, safer, and enjoyable marketplace for users. Key Responsibilities: - Develop and optimize machine learning algorithms and models to enhance the recommendation system, improving the discovery experience of users. - Collaborate with cross-functional ...

As a Data Science Manager in Supply Chain & Manufacturing at ZS, you will be part of a passionate team dedicated to transforming ideas into impact by leveraging data, science, technology, and human ingenuity to deliver better outcomes worldwide. You will work side-by-side with experts to develop custom solutions and technology products that drive value and results for clients. **Role Overview:** - Drive client engagements and lead the development and deployment of AI/ML/data science solutions - Lead large scale client delivery engagements in AI projects for the Supply Chain & Manufacturing Industry - Architect and develop predictive models, optimization algorithms, and statistical analyses -...

As a Gen AI/ ML Data Scientist at Quadratyx, you will play a crucial role in developing machine learning models to support recommendation systems and NLP projects. Your insights will drive product and service optimization, contributing to better and faster decision-making for organizations worldwide. Here is a breakdown of your key responsibilities: - Develop machine learning models for recommendation systems and NLP projects - Provide actionable insights for product and service optimization - Build and maintain scalable ETL pipelines - Optimize data storage solutions (data lakes, columnar formats) - Ensure data accuracy for analytics - Analyze complex datasets to uncover trends and patterns...

About the role : You are a fit for the role of Lead Machine Learning Engineer if you meet all or most of these criteria: Provide technical direction for projects. Break down business requirements into work for the team to execute on. Spearhead the development and technical implementation of machine learning solutions, including configuration and integration, to fulfill business,product, and recommender system objectives Lead routine projects with manageable risks and resource requirements Deliver AI/ML solutions using emerging technologies for multiple products or complex projects with minimal guidance Train and mentor colleagues Explain difficult concepts and influence others to adopt a poi...

Primary Responsibilities: Develop and run pipelines for data ingress and model output egress Develop and run scripts for ML model inference Design, implement, and maintain CI/CD pipelines for MLOps and DevOps functions Identify technical problems and develop software updates and fixes Develop scripts or tools to automate repetitive tasks Automate the provisioning and configuration of infrastructure resources Provide guidance on the best use of specific tools or technologies to achieve desired results Create documentation for infrastructure design and deployment procedures Utilize AI/ML frameworks and tools such as MLFlow, TensorFlow, PyTorch, Keras, Scikit-learn, etc. Lead and manage AI/ML t...

Primary Responsibilities: Develop and run pipelines for data ingress and model output egress Develop and run scripts for ML model inference Design, implement, and maintain CI/CD pipelines for MLOps and DevOps functions Identify technical problems and develop software updates and fixes Develop scripts or tools to automate repetitive tasks Automate the provisioning and configuration of infrastructure resources Provide guidance on the best use of specific tools or technologies to achieve desired results Create documentation for infrastructure design and deployment procedures Utilize AI/ML frameworks and tools such as MLFlow, TensorFlow, PyTorch, Keras, Scikit-learn, etc. Lead and manage AI/ML t...

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...