5 Collaborative Filtering Jobs

The role of Manager - Data Scientist requires a minimum of 6+ years of experience in NLP/GenAI/Recommender Systems, with a significant focus on developing enterprise-grade solutions. You should have expertise in handling large datasets and performing data preprocessing on cloud platforms. Your responsibilities will include developing generative AI applications, such as prompt engineering and Retrieval-Augmented Generation (RAG) applications. You should possess a strong understanding of LLM concepts and hands-on experience in utilizing LLMs for POCs and problem-solving, integrating them into the solution workflow. Additionally, you should have practical experience in building various types of recommender systems, such as content-based, collaborative filtering, or hybrid approaches. Proficiency in Python programming is essential for this role, and experience with PySpark is considered a plus. Knowledge of Azure Cloud is mandatory. Effective communication skills are crucial, as you will be required to clearly articulate data science outcomes. Experience with version control systems like Git and familiarity with CI/CD practices, as well as developing/consuming RESTful API, would be advantageous. Preferred qualifications for this role include familiarity with popular recommender system-related algorithms like ALS, KNN, and LightFM. Knowledge of transformer architecture and different types of LLMs (encoder-only, encoder-decoder, and decoder-only) is desirable. Having some hands-on experience in solving NLP problems with or without GenAI would be a beneficial addition to your profile.,

As an ML Engineer at an early-stage, US-based venture-backed technology company in Gurgaon, you will be responsible for designing and deploying the core recommendation and personalization systems that power the matchmaking experience. Your role will involve engineering the full lifecycle - from design, R&D, to deployment - while laying the foundation for scalable, real-time ranking infrastructure. You will be developing match-making, recommendation, ranking, and personalization systems. Specifically, you will work on creating a novel real-time adaptive matchmaking engine that learns from user interactions and other signals. Your tasks will also include designing ranking and recommendation algorithms that make each user feed feel curated for them. Additionally, you will build user embedding systems, similarity models, and graph-based match scoring frameworks, and deploy models to production using fast iteration loops, model registries, and observability tooling. The ideal candidate for this role is an ML engineer with 3-6 years of experience working on ML Engineering or Data Science. You should have prior experience working in personalization, recommendations, search, or ranking at scale. Exposure to a variety of popular recommendation and personalization techniques, including collaborative filtering, deep retrieval models, learning-to-rank, embeddings with ANN search, and LLM approaches for sparse data personalization is desirable. Experience with end-to-end ML pipelines, vector search, graph-based algorithms, and LLM based approaches would be a significant advantage. Joining this company's founding team will allow you to play a core role in shaping the future of how humans connect in the AI era. The compensation offered includes a range of 30-50 LPA along with ESOPs, providing an opportunity for wealth creation.,

As a Python Machine Learning Engineer at our organization, you will be responsible for designing, developing, and deploying scalable recommender systems using various machine learning algorithms. Your primary focus will be on leveraging machine learning techniques to personalize user experiences, enhance engagement, and drive business outcomes. You will collaborate closely with cross-functional teams to understand business requirements and translate them into actionable machine learning solutions. Conducting thorough exploratory data analysis to identify relevant features and patterns in large-scale datasets will be a crucial part of your role. Additionally, you will implement and optimize machine learning models for performance, scalability, and efficiency while continuously monitoring and evaluating model performance using relevant metrics. To qualify for this role, you should have a Bachelor's or Master's degree in Computer Science, Engineering, Statistics, or a related field, along with 2 to 3 years of hands-on experience in developing machine learning models, specifically focusing on recommender systems. Proficiency in Python programming and popular machine learning libraries/frameworks such as TensorFlow, PyTorch, or Scikit-learn is required. A solid understanding of fundamental machine learning concepts like supervised and unsupervised learning, feature engineering, and model evaluation is essential. Experience working with large-scale datasets, strong analytical and problem-solving skills, and excellent communication abilities are also necessary for this role. You should be able to work with SQL and NoSQL databases to store and retrieve training data, as well as write efficient ETL pipelines to feed real-time and batch ML models using Apache Airflow. Preferred qualifications include experience with cloud computing platforms such as AWS, familiarity with recommendation system evaluation techniques, knowledge of natural language processing techniques, and contributions to open-source machine learning projects or participation in relevant competitions like Kaggle. Experience in MLOps & Deployment (Docker, Airflow) and Cloud Platforms (AWS, GCP, Azure, SageMaker) would be beneficial. This is a full-time position located in Bangalore, Karnataka, and requires in-person work. If you are a talented Python Machine Learning Engineer with a passion for developing and maintaining recommender systems using cutting-edge machine learning algorithms, we encourage you to apply for this exciting opportunity.,

We are seeking engineers or applied scientists who have expertise in implementing data mining and machine learning systems to contribute to the development of an innovative online education platform that is tailored to the unique needs of each student. Your responsibilities will include: - Demonstrating a strong passion and enthusiasm for constructing scalable systems that can analyze extensive datasets and provide actionable insights. - Showcasing a proven track record of identifying connections within vast and seemingly unrelated datasets. - Displaying the ability to work with incomplete or imperfect data sets effectively. - Possessing knowledge of linear algebra and proficiency in manipulating data through matrix algorithms. - Having the capability to develop and interpret probabilistic models of intricate, multi-dimensional systems. - Demonstrating experience in quantitative analysis using Python. - Having familiarity with database technologies like SQL. - Showcasing solid programming skills in Java, C, C++, or Python. Preferred experience with the following technologies: - Collaborative filtering. - Decision trees and automatic tree generation. - Bayesian methods. - Clustering techniques including principal components analysis, k-means, etc. Desired qualifications include: - Proficiency in Hadoop or other MapReduce implementations. - Experience in semantic text mining or natural language processing. - Prior involvement in high-stakes information retrieval and statistical analysis, such as Bioinformatics or Fraud Detection. If you believe you meet these qualifications and are excited about this opportunity, please send your resume to info@zunopy.com.,

Role Details: Department: Growth Designation: RM Employment Type: Full Time Role Summary: We are seeking a highly motivated and results-driven Relationship Manager to join our dynamic team. As a key player in our organization, you will be responsible for activating & farming partnerships and driving revenue growth. If you're proactive with a passion for exceeding targets and delivering exceptional experiences, we want to hear from you. Key Responsibilities: 1. Activation & farming: Activating newly onboard partners and driving higher share of wallet from the CAs/Brokers. 2. Revenue Achievement: Consistently achieve revenue targets as per Annual Operating Plan (AOP) by cultivating and managing relationships within the partners sales teams. 3. Partner Relationship & Engagement: Develop and maintain excellent working level relationships with the teams that belong to the partner. Drive Bandhan Life's initiatives to ensure partners sell multiple products from our portfolio. 4. Collaborative Approach: Collaborate effectively with the issuance teams to deliver superlative login & issuance experience for mapped partners. 5. Market Feedback and Sales Input: Gather and provide regular market and environmental feedback to enable decision-making. Skills required: 1. Assertive [High] 2. Communication skills [High] (should be able to connect with and motivate partner frontline to drive higher share of wallet) Qualifications & Competencies: 1. 2-5 years of experience in Insurance (preferred)/ Financial services sector 2. Bachelor's degree 3. Proven track record of exceeding revenue targets and driving business growth in a similar role. 4. Strong understanding of sales dynamics and experience managing relationships. 5. Excellent communication and interpersonal skills. 6. Self-motivated with a high level of initiative and a results-driven approach