4 Recommendation Engines Jobs

The role of a member in the New Analytics Team based in Hyderabad involves understanding business processes and data to model requirements for creating analytics solutions. You will be responsible for building predictive models and recommendation engines using cutting-edge machine learning techniques to enhance the efficiency and effectiveness of business processes. Your tasks will include churning and analyzing data to identify actionable insights and patterns for business use. Additionally, you will assist the Function Head in data preparation and modeling tasks as required. Collaboration with both business and IT teams is essential for understanding and collecting data. Your responsibilities will also include collecting, collating, cleaning, processing, and transforming large volumes of primarily tabular data comprising numerical, categorical, and some textual information. Applying data preparation techniques such as data filtering, joining, cleaning, missing value imputation, feature extraction, feature engineering, feature selection, dimensionality reduction, feature scaling, and variable transformation will be a part of your routine tasks. You will be expected to apply basic algorithms like linear regression, logistic regression, ANOVA, KNN, various clustering methods, SVM, Naive Bayes, decision trees, principal components, and association rule mining. Additionally, ensemble modeling algorithms like bagging (Random Forest), boosting (GBM, LGBM, XGBoost, CatBoost), time-series modeling, and other state-of-the-art algorithms will also be utilized as required. Your role will involve employing modeling concepts such as hyperparameter optimization, feature selection, stacking, blending, K-fold cross-validation, bias and variance, and combating overfitting. Building predictive models using state-of-the-art machine learning techniques for regression, classification, clustering, recommendation engines, etc., will be a key part of your responsibilities. Furthermore, you will analyze business data to uncover hidden patterns and insights, identify explanatory causes, and make strategic recommendations based on your findings. To excel in this role, you should hold a BE/B. Tech degree in any stream and possess strong expertise in Python libraries like Pandas and Scikit Learn. Proficiency in coding according to the outlined requirements is essential. Experience with Python editors such as PyCharm and/or Jupyter Notebooks is a must, along with the ability to organize code into modules, functions, and/or objects. Knowledge of using ChatGPT for machine learning will be advantageous, while familiarity with basic SQL for querying and Excel for data analysis is necessary. Understanding basics of statistics, including distributions, hypothesis testing, and sampling techniques, is a prerequisite. Experience with Kaggle and familiarity with R are desirable. Ideal candidates will have a minimum of 4 years of experience solving business problems through data analytics, data science, and modeling, with at least 2 years of full-time experience as a data scientist. They should have worked on at least 3 projects involving ML model building that were utilized in production by businesses or other clients. Your primary responsibilities will include spending 35% of your time on data preparation for modeling, 35% on building ML/AI models for various business requirements, 20% on performing custom analytics to provide actionable insights to the business, and 10% on assisting the Function Head in data preparation and modeling tasks as needed. Candidates without familiarity with deep learning algorithms, image processing and classification, and text modeling using NLP techniques will not be considered for selection. For applying to this position, please email your application to careers@isb.edu.,

Abhinandan Ventures is a collective of high-growth new-age businesses that support ambitious ideas to create disruptive businesses. The company provides patient capital for value creation and fosters a culture of performance-driven leadership. They specialize in cultivating consumer-centric brands at the forefront of innovation, shaping industries with sound business practices. The House of Abhinandan Lodha, a consumer tech brand under Abhinandan Ventures, disrupts traditional land ownership by leveraging technology to make land more accessible, flexible, and secure. Their mission is to create intergenerational wealth for consumers by reinventing the land buying process and promoting sustainable development practices. As part of the corporate philosophy, The House of Abhinandan Lodha emphasizes transparency, sustainability, and social responsibility in all dealings. They use technology to digitize land ownership, simplify investments, and enhance lifestyle amenities, aiming to make land ownership a younger, nimbler, and more viable asset for all. The role of a Performance Enhancement Lead at The House of Abhinandan Lodha involves driving data-driven marketing transformation by integrating MarTech capabilities with robust data analytics. The selected candidate will be responsible for managing the marketing technology stack, enhancing marketing efficiency, and leveraging data insights to drive growth, customer engagement, and ROI. Key Responsibilities: - Define and lead the integrated MarTech and data analytics roadmap aligned with business goals - Drive performance marketing efficiency by integrating Salesforce platforms and tools - Implement and optimize Salesforce Marketing Cloud and Salesforce Data Cloud - Develop and manage marketing automation frameworks using CRM and customer data platforms - Utilize analytics tools like Tableau and Google Analytics for actionable insights - Implement predictive analytics for lead scoring, customer segmentation, and churn prediction - Oversee personalization engines, recommendation systems, and ML models - Ensure seamless integration of AdTech, CMS, and DXP platforms for unified marketing operations - Collaborate with cross-functional teams for data-driven marketing strategy - Monitor and report on marketing performance metrics, leading performance enhancement initiatives Key Requirements: - 8-12 years of experience in MarTech, CRM, and Data Analytics roles - Expertise in Salesforce Marketing Cloud, Salesforce Data Cloud, and CDP platforms - Hands-on knowledge of marketing automation, web analytics, Tableau, and data storytelling - Experience with ML models in marketing contexts and understanding of AdTech integrations - Ability to drive measurable outcomes through partnership with business and tech teams Key Attributes: - Strategic and analytical thinker with strong execution capability - Ownership and ability to work across functions in a fast-paced environment - Excellent communication and stakeholder management skills - Passion for marketing innovation and data-driven growth The Performance Enhancement Lead at The House of Abhinandan Lodha plays a crucial role in driving marketing transformation and accelerating business growth through technology and data-driven strategies.,

As a member of the R&A COE team at EY, you will be part of a dynamic group working on various Data Science and Machine Learning projects. Your role will involve utilizing your experience in data science projects and demonstrating advanced programming skills in SAS, R, or Python. You will be expected to independently understand and address data science problems using techniques such as linear regression, logistic regression, random forest, support vector machines, ANOVA/ANCOVA, time series modeling, segmentation, decision tree, clustering, recommendation engines, and forecasting. In this position, you will collaborate with a diverse team to contribute to Decision Sciences implementation projects. Your responsibilities will include developing analytical strategies for businesses, communicating with onsite coordinators, and presenting model results to clients. Timely completion of assigned tasks and regular status reporting will be essential components of your role. To be successful in this role, you should hold a degree in BE/BTech/MCA/MBA/CA with 0-3 years of experience in Information Management/Analytics. Having an understanding of Business Intelligence & Data Visualization concepts and experience with BI/Visualization tools will be advantageous. Additionally, you should possess excellent communication skills, a collaborative mindset, and a familiarity with software development best practices. If you have a background in the Banking/Finance domain, prior experience in client-facing roles, and strong written and verbal communication skills, it will be considered as additional assets. By joining EY, you will be part of a global organization dedicated to building a better working world through innovation, collaboration, and a commitment to creating value for clients, society, and the planet.,

What Youll Own As Backend Product Lead, you will be at the intersection of business logic, platform strategy, and backend system capabilities, managing products that fuel: Recommendation & Personalization Systems Universal Search Feeds (XML, MRSS, JSON) for content syndication CMS & Content Workflow Management AI & Automation Initiatives aligned with streaming workflows Reporting, Metadata Enrichment, and Internal APIs Key Responsibilities Define the vision, roadmap, and KPIs for backend-driven product features. Translate complex business needs into scalable, developer-friendly product requirements. Lead the development and launch of backend systems powering recommendation, search, CMS, and partner integrations. Collaborate with Engineering, Data, Editorial, and Distribution teams to ensure high performance and reliability. Drive API product design across internal and third-party use cases. Champion backend product initiatives that directly impact viewer engagement, content discovery, and operational efficiency . Leverage AI and automation to streamline content ingestion, metadata handling, and personalization. What You Bring 6+ years in product management, with 3+ focused on backend or platform products . Deep understanding of APIs, feeds (XML/MRSS/JSON), microservices , and cloud architecture. Experience working with OTT platforms, AVOD/FAST channel ecosystems . Experience working with recommendation engines, search systems, CMS , or similar infrastructure in content/media tech. Strong collaboration with tech leads, engineers, and cross-functional teams. Excellent problem-solving, prioritization, and stakeholder communication skills. Familiarity with AI/ML applications in media/streaming is a strong plus. Why Join Us Lead backend products at the core of our streaming experience. Be a part of transformative AI, personalization, and automation initiatives. Join a collaborative, fast-paced culture driving innovation in entertainment tech. Enjoy strong learning opportunities, career growth, and visible impact