30 Recommendation Systems Jobs - Page 2

Agoda is an online travel booking platform that connects travelers worldwide with a vast network of 4.7M hotels, holiday properties, flights, activities, and more. As part of Booking Holdings and with 7,100+ employees from 95+ nationalities, Agoda fosters a diverse, creative, and collaborative work environment. Through a culture of experimentation and ownership, we strive to enhance our customers" ability to experience the world. At Agoda, our purpose is to bridge the world through travel, allowing people to enjoy, learn, and experience the amazing world we live in. Travel brings individuals and cultures closer, fostering empathy, understanding, and happiness. Our team consists of skilled, driven individuals from across the globe, united by a passion to make a meaningful impact. By leveraging innovative technologies and strong partnerships, we aim to make travel easy and rewarding for everyone. The Data department at Agoda is responsible for managing all data-related requirements for the company. We strive to enable and enhance the use of data through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology. We recruit top talent globally to tackle this challenge, providing them with the necessary knowledge and tools for personal growth and success while upholding our culture of diversity and experimentation. The role of the Data team is crucial as various stakeholders depend on us to empower their decision-making processes and improve the customer search experience. We are committed to enhancing customer experience, accelerating search results, and safeguarding against fraudulent activities. We are currently seeking ambitious and agile data scientists to join our Data Science and Machine Learning (AI/ML) team. In this role, you will work on challenging machine learning and big data platforms, processing 600B events daily and making 5B predictions. You will tackle real-world challenges such as dynamic pricing, real-time customer intent prediction, search result ranking optimization, content classification, personalized recommendations, and more. You will have the opportunity to work with one of the world's largest ML infrastructure, utilizing GPUs, CPU cores, and memory to drive innovations and improve user experiences. As a Data Scientist at Agoda, you will design, code, experiment, and implement models and algorithms to enhance customer experience, business outcomes, and infrastructure readiness. You will analyze vast amounts of customer data, user-generated events, supplier data, and pricing information to derive actionable insights for continuous improvements and innovation. Collaboration with developers and various business stakeholders is crucial for delivering high-quality results on a daily basis. Additionally, you will be tasked with researching, discovering, and implementing new ideas that can make a significant difference. To succeed in this role, you should have at least 4 years of hands-on data science experience, a strong understanding of AI/ML/DL and Statistics, proficiency in coding using open-source libraries and frameworks, and excellent skills in SQL, Python, PySpark, or Scala. The ability to lead, work independently, and collaborate in a multicultural environment is essential. A background in Computer Science, Operations Research, Statistics, or other quantitative fields is preferred, along with experience in NLP, image processing, recommendation systems, and data engineering. We welcome both local and international applications for this role, with full visa sponsorship and relocation assistance available for eligible candidates. Agoda is an equal opportunity employer committed to creating a diverse and inclusive workplace.,

Agoda is an online travel booking platform that connects travelers with a vast global network of 4.7M hotels, holiday properties, flights, activities, and more. As part of Booking Holdings and based in Asia, Agoda's diverse team of 7,100+ employees from 95+ nationalities in 27 markets fosters an environment rich in diversity, creativity, and collaboration. At Agoda, innovation is driven by a culture of experimentation and ownership to enhance the customer experience of exploring the world. The Data department at Agoda, headquartered in Bangkok, is responsible for overseeing all data-related requirements within the company. The primary objective is to enable and enhance the use of data through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology. The Data team at Agoda consists of bright minds from around the world who are equipped with the necessary knowledge and tools to support the company's culture of diversity and experimentation. The team plays a critical role in empowering decision-making processes for business users, product managers, engineers, and other stakeholders, while also focusing on improving the search experience for customers and safeguarding against fraudulent activities. Agoda is seeking ambitious and agile data scientists to join the Data Science and Machine Learning (AI/ML) team in Bangkok. The role involves working on challenging machine learning and big data platforms, processing approximately 600B events daily and making 5B predictions. As part of this team, you will tackle real-world challenges such as dynamic pricing, customer intent prediction, personalized recommendations, and more. The role offers the opportunity to work with one of the world's largest ML infrastructure, employing advanced technologies like GPUs, CPU cores, and memory for innovation and user experience enhancement. In this role, you will have the opportunity to design, code, experiment, and implement models and algorithms to maximize customer experience, business outcomes, and infrastructure readiness. You will analyze vast amounts of data to derive actionable insights for driving improvements and innovation, collaborating with developers and various business owners to deliver high-quality results. Successful candidates will have hands-on data science experience, a strong understanding of AI/ML/DL and Statistics, proficiency in coding languages like Python, PySpark, and SQL, and excellent communication skills for multicultural teamwork. Preferred qualifications include a PhD or MSc in relevant fields, experience in NLP, image processing, recommendation systems, data engineering, and data science for e-commerce or OTA. Agoda welcomes applications from both local and international candidates, offering full visa sponsorship and relocation assistance for eligible individuals. Agoda is an Equal Opportunity Employer and keeps applications on file for future vacancies. For further information, please refer to the privacy policy on our website. Agoda does not accept third-party resumes and is not responsible for any fees related to unsolicited resumes.,

As an Engineering Lead at Bolo AI, a company dedicated to utilizing AI to optimize Energy processes, you will play a crucial role in expanding the engineering team and overseeing the delivery of cutting-edge products focused on Generative AI systems. Your responsibilities will encompass managing a talented group of applied scientists, MLOps engineers, and backend developers who are dedicated to developing high-performance platforms for LLM training, RAG, LLM agent orchestration, and enterprise deployments. Your primary objective will be to ensure that the team collaborates effectively to deliver top-tier products within set timelines and with exceptional quality standards. You will be instrumental in driving product excellence, facilitating the swift introduction of new features, functionalities, and AI-driven solutions for our valued customers. Moreover, you will be tasked with defining the technical roadmap, establishing operational frameworks, and upholding engineering standards. Reporting to the CTO and closely working with the CEO, you will engage with research and product teams to shape the company's trajectory and achieve tangible outcomes through state-of-the-art AI technologies. Key Responsibilities: - Architecting scalable and high-performance systems to support LLM pipelines, RAG infrastructure, and agentic workflows - Building, nurturing, and expanding a top-tier engineering team spanning platform engineering, ML infra, and backend systems - Overseeing the end-to-end delivery process of mission-critical AI products from conceptualization to deployment - Collaborating effectively with founders, research scientists, and product managers to align on technical strategies and business objectives - Establishing best practices in software development, MLOps, DevSecOps, and system design to ensure code quality and architectural integrity - Spearheading initiatives to enhance system performance, optimize LLM inference efficiency, and drive cost efficiencies across cloud environments - Engaging with enterprise clients and partners to comprehend requirements, solicit feedback, and facilitate solution delivery Qualifications: - Over 10 years of engineering experience with a minimum of 5 years in building and leading engineering teams, ideally in dynamic startup environments - Profound expertise in constructing production ML systems, encompassing model training, optimization, and large-scale deployment (LLM, RAG, agents, classification, etc.) - Strong background in backend and systems engineering with proficiency in Python and microservice architecture - Prior exposure to hybrid deployments (on-prem, VPC) and cloud-native infrastructure (AWS, GCP, Azure) - Demonstrated ability to scale engineering organizations, implement processes, and drive cross-functional collaborations - Passion for addressing real-world challenges using innovative ML and AI solutions - Educational background in Computer Science or related field (M.Tech/MS/PhD), with preference for candidates from esteemed institutions like IIT/NIT/BITS Desirable Skills: - Familiarity with CPU- and GPU-optimized ML inference frameworks such as BOLT, TorchScript, Triton, ONNX, or vLLM - Proficiency in LLM training methodologies (e.g., LoRA, QLoRA, RLHF, MoE), LLM Agents, multilingual NLP, or recommendation systems - Track record of publications in renowned ML/NLP conferences or patents in the AI/ML domain - Previous involvement in startup environments, particularly within the enterprise or SaaS sectors Join us at Bolo AI for: - Competitive Compensation: A competitive base salary - Ownership & Impact: Equity options to participate in our growth and success - Hybrid Work Environment: Flexibility to collaborate in-person and work remotely to ensure work-life balance - Growth & Opportunity: Engage in a pivotal stage where your contributions will shape our journey and unlock new opportunities - Culture of Respect & Collaboration: Join a team that values humility, respect, and teamwork, celebrating collective achievements.,

Key Responsibilities Extract and analyze data from company databases to drive the optimization and enhancement of product development and marketing strategies. Analyze large datasets to uncover trends, patterns, and insights that can influence business decisions. Leverage predictive and AI/ML modeling techniques to enhance and optimize customer experience, boost revenue generation, improve ad targeting, and more. Design, implement, and optimize machine learning models for a wide range of applications such as predictive analytics, natural language processing, recommendation systems, and more. Conduct experiments to fine-tune machine learning models and evaluate their performance using appropriate metrics. Deploy machine learning models into production environments, ensuring scalability Qualifications Bachelor's, Master's or Ph.D in Computer Science, Data Science, Mathematics, Statistics, or a related field. 2+ years of experience in Analytics, Machine learning, Deep learning. Proficiency in programming languages such as Python, and familiarity with machine learning libraries (e.g., Numpy, Pandas, TensorFlow, Keras, PyTorch, Scikit-learn). Strong experience with data wrangling, cleaning, and transforming raw data into structured, usable formats. Hands-on experience in developing, training, and deploying machine learning models for various applications (e.g., predictive analytics, recommendation systems, anomaly detection). In-depth understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning) and their appropriate use cases. Experience with model evaluation techniques (e.g., cross-validation, A/B testing, performance metrics). Experience with cloud platforms (AWS, GCP, Azure) for model deployment and scalal Proficiency in data processing and manipulation techniques. Excellent problem-solving skills and the ability to work effectively in a collabor environment. Strong communication skills to convey complex technical concepts to non-tech stakeholders. Good To Have Experience in the [banking/financial services/industry-specific] sector. Familiarity with cloud-based machine learning platforms such as Azure, AWS, or GCP. Skills: recommendation systems,pytorch,cloud,anomaly detection,numpy,python,data cleaning,deep learning,predictive analytics,a/b testing,machine learning,pandas,tensorflow,scikit-learn,data wrangling,cloud platforms (aws, gcp, azure),model evaluation techniques,cross-validation,keras,machine learning models,

Uber is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing . --- What the Candidate Will Do ---- Build GenAI powered customer support assistants through prompt engineering 3P LLMs or fine-tuning custom LLMs. Work with stakeholders across engineering, product and data science to understand product requirements, prototype, iterate and launch GenAI assistants in production. Explore novel ideas and innovative solutions that can lead to a step change in our products. ---- Basic Qualifications ---- Master's degree in Computer Science or closely related field. Knowledge of latest ML algorithms such as GenAI, NLP, CV, recommendation systems. Coding chops, clean, elegant, bug-free code in languages like Java, GO Strong desire to learn and grow, while building the best-in-class systems ---- Preferred Qualifications ---- Deep knowledge of NLP theory and an understanding of the latest innovations in Generative AI Contributed to the broader technical community through tech talks, publications, open source projects, or other ways. Have a proven track record working across an organization not just across teams. We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let's move the world forward, together. Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role. .Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to .