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  •  ...P-1439 As Applied ML/AI Engineer at Databricks, you will define and create the Agentic Machine Learning revolution. You will help world’s largest companies build and deploy massive classical machine learning solutions (such as personalized recommendations, fraud detection,... 
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  •  ...About the role We’re looking for a highly autonomous Senior Data & ML Engineer who wants to be the true owner of how data works for the teams they support, delivering solutions completely end-to-end, from initial scoping and design through to delivery, implementation, and... 
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  •  ...collaborate with experts across data, engineering, product, and marketing to ensure robust, efficient, and future-proof data pipelines and ML models. Specifically, you will: Build data tools used across the company and across different data domains. Design and develop... 
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    SMG Swiss Marketplace Group D.O.O. Beograd (Serbia)

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  •  ...brainstorm with you, not just hand you tasks. ~ First-time-right quality: numbers you ship are trusted without a second verification pass; Nice-to-have You now how Uplift modeling and causal ML works and can create MVP version Propensity / churn / LTV modeling... 
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  •  ...Engineering contributions you might make to Altium 365: Building new cloud-native applications and scalable infrastructure Utilizing AI and ML to power advanced search capabilities Large-scale data processing; data modelling; holistic, intent-based API design Stateful and... 
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  •  ...consultant for a life sciences client to define the end-to-end MLOps and Databricks delivery approach. The role covers assessing current ML implementations, setting standards and the operating model, and turning architecture into playbooks for engineering teams. The... 
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  •  ...P-1415 Our mission at Databricks is to radically simplify the whole data lifecycle from ingestion to ETL, BI, and all the way up to ML/AI with a unified platform. To achieve this goal, we believe the data warehouse architecture as we know it today will be replaced by a new... 
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  •  ...financial crime prevention sits right at the heart of that promise. As a Senior Machine Learning Engineer, you'll take over DRS: a production ML product that scores our whole client base daily and drives our quarantine, alert suppression, and soon our credit decisions. This is... 
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  •  ...Data, and Product teams to bring new capabilities into production. Qualifications A strong track record of building and shipping ML systems, with deep experience in one or more of LLM post-training, reinforcement learning, search and retrieval, or agent systems. Strong... 
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  •  ...Designing metrics from scratch (not just analyzing existing A/B experiments) ~ Building labeling pipelines using LLM-as-a-judge ~ Training ML models that shipped to production with measurable metric improvements ~ Designing evals with known ground truth (e.g. SimpleQA,... 
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  •  ...Bachelor’s degree in IT ~+ 3 years of experience in SAP CO Consulting ~ Strong SAP CO knowledge (ECC/S4) incl. CCA, CO‑PC, CO‑PA, PCA, ML, PS, IM ~ Understanding of CO integration with FI, MM, SD, PP ~ Experience in at least one full SAP CO implementation cycle ~... 
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  •  ...Cosmos DB, Event Hub, PowerBI, ..) or AWS (Glue, EC2, EMR, RDS, Redshift, Sagemaker, …) cloud services Understanding of Data Science (ML) concepts from both business and technical perspective Experience with ERP solutions like SAP, NetSuite Experience with Marketing,... 
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  •  ...for indexing Design and analyze experiments to validate improvements Qualifications ~4+ years of experience as a data analyst, ML engineer, or in a related role ~ Strong coding skills: you should be able to write production-grade code at the level of a mid-level backend... 
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  •  ..., this role will provide ongoing support for broader analytics requirements, develop robust data models, and leverage Machine Learning (ML)/Artificial Intelligence (AI) to proactively pinpoint areas for improvement within the Service Parts Organization. Responsibilities... 
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  •  ...internal data sources using retrieval techniques, embeddings, vector search, and search infrastructure. Build reliable and maintainable ML / GenAI pipelines, including data ingestion, model orchestration, evaluation, deployment, observability, and alerting. Apply LLMOps... 
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  •  ...robust, scalable financial infrastructure. You'll be part of a domain team where various engineering crafts (Backend, Frontend, Mobile, ML/AI engineers, and QA) work together to own and evolve a shared product area that delivers real value to hundreds of thousands of businesses... 
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  •  ...Engineering contributions you might make to Altium 365: Building new cloud-native applications and scalable infrastructure Utilizing AI and ML to power advanced search capabilities Large-scale data processing; data modelling; holistic, intent-based API design Stateful and... 
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  •  ...~ Collaborate with Data, AI, Infrastructure and Product teams to deliver improvements quickly and learn best practices in production ML. Qualifications: Strong foundation in machine learning and statistics, with coursework or projects related to information retrieval... 
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  •  ...развој, одрживост решења и посвећеност тима . За AI категорију додатно ће се вредновати методологија развоја и тестирања, примењени AI/ML приступ и квалитет развијеног доказа концепта (POC). Циљ програма InnovNation Competition Serbia је подстицање иновативног и предузетничког... 
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  •  ...and more. Modern digital tools for seamless collaboration. REQUIREMENTS ~5+ years of recent professional experience in applied AI/ML, data, AI automation, or a related field, including hands-on experience with LLMs. ~ A master’s degree or PhD in a relevant field, or... 
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