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A Senior Applied ML/AI Scientist at Faire will design and optimize real-time search and recommendation systems for personalized product discovery, leveraging deep learning (transformers, GNNs) and multimodal signals (text, visual) to enhance retailer and user experiences on a global e-commerce wholesale platform.
Build and enhance Marketing Mix Optimization models in Python to maximize marketing ROI and guide budget allocation across channels using statistical modeling and machine learning.
Build and ship agentic AI prototypes (RAG, LLM inference, agents) from notebook to production, then partner with engineers to deploy them for revenue teams.
Leads a machine learning team building scoring models (e.g., click and conversion prediction) for Sponsored Offers using deep learning and GCP tools, while managing engineers and aligning tech with business KPIs.
Experience – 5 to 10 years Work Location - Chennai Work Mode- Work from Office About the Role We are looking for an experienced Data Scientist to join our team and help build the next generation of data-driven…
Senior Data Scientist designs, trains, and deploys neural network and deep learning models on Google Cloud Platform, mentors junior team members, and owns the full ML lifecycle from problem analysis to production monitoring.
About Meesho Meesho is India's fastest-growing internet commerce company, on a mission to democratize e-commerce for everyone. We serve millions of customers and over 1.75 million sellers through technology-driven…
Bitdefender is a cybersecurity leader delivering best-in-class threat prevention, detection, and response solutions worldwide. Guardian over millions of consumer, enterprise, and government environments, Bitdefender is…
Lead Data Scientist Location: Remote within the US Department: Data Science Location Type: REMOTE Employment Type: FULL_TIME The Opportunity Apartment List is looking for a Lead Data Scientist to build, deploy, and…
Data Scientist, Mid Location: Springfield, VA Time Type: Full time Job Description Data Scientist, Mid The Opportunity: As a mid-level data scientist supporting a Space Force program, you will contribute to analytic…
AI/ML Engineer Location: Arlington, VA Department: WDP 540 is seeking an AI/ML Engineer to support a mission-critical technology modernization effort for the Department of War. You will design, build, and maintain…
Data Scientist, GTM Intelligence Department: Data Science Location: San Francisco Compensation: $290K – $340K • Offers Equity Employment Type: FullTime About the Team The GTM Intelligence Solutions team builds the data…
Senior Data Scientist, People Analytics Location: Sydney CBD Area, Melbourne, VIC - 435 Bourke Street Time Type: Full time Job Description Senior Data Scientist, People Analytics (Human Resources) **Multiple Roles**…
Senior Manager - Fraud Analytics Location: Sydney CBD Area Time Type: Full time Job Description Senior Manager – Fraud Analytics Do work that matters Business Banking manages relationships with small-to-medium…
Designs, builds, and maintains AI/ML-powered software and cloud systems to support housing finance, using Python, AWS, and GenAI tooling in a Reston, VA office.
Designs and maintains cloud data pipelines and warehouses (Snowflake, BigQuery) to power analytics and AI features for global consumer brands, using Python, SQL, and orchestration tools.
Design, build, train, and deploy predictive models using machine learning and deep learning to solve business problems, with a focus on regression, classification, NLP, and computer vision using Python, TensorFlow/PyTorch, and SQL.
Own the analytics partnership for a key Business Banking stakeholder group, helping shape priorities and translate business challenges into a clear delivery roadmap Build advanced analytical solutions using Python,…
Staff Software Engineer at Visa in Bengaluru building AI-native features (RAG, generative AI) and full-stack Java/Python applications for the Value-Added Services platform.
Senior/Manager Data Scientist builds and deploys AI and machine learning models to optimize productivity and personalize health interventions using real-world health data and cloud platforms.
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