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OneStream unleashes organizational value by unifying data management, financial close and consolidation, planning, reporting, analytics, and machine learning. PREFERRED EDUCATION AND EXPERIENCE Customer Success Manager within the Financial Services or Banking Sectors for SaaS company.
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We are actively seeking a Senior Machine Learning Engineer to contribute to innovative projects for a prestigious Global Financial Services organization. - Conduct ongoing research to stay abreast of the latest developments in machine learning, deep learning, and data science, and apply this knowledge to enhance project outcomes.
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What Additional Experience Makes A Strong Candidate: 4+ years of production experience with Scala 4+ years of production experience with Micro Services / Streaming Services Experience addressing ML problems, particularly in domains such as Time Series, Computer Vision (CV), Natural Language Processing (NLP), and data mining Proficiency with popular ML frameworks (Xgboost, TensorFlow, PyTorch, etc.
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About You:We are looking for a passionate Machine Learning Engineer to build and scale the DTC personalization systems and services for our new global streaming app, Max, as well as any future DTC streaming apps.
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As a Machine Learning Engineer at Nelnet, you'll be at the intersection of data science and software engineering. Feature Engineering: Collaborate with Data Scientists to engineer features for machine learning models.
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How you’ll make an impact: As a Staff ML Ops Engineer at SiriusXM, you will be a key player in our Data Platform Team. Your role will be pivotal in deploying, managing, and optimizing machine learning (ML) models, leveraging advanced tools like Databricks and MLFlow.
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Digital Core Tech@Lilly is actively looking for an AI Machine Learning Engineer to spearhead our efforts in the development and deployment of machine learning models that enhance predictive analytics and decision-making across multiple processes and systems in pharma.
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Preferred qualification participating in large-scale online machine learning platforms are preferred Good programming skills and a deep understanding of data structures and algorithms Good communication and teamwork skills, be passionate about learning new techniques and taking on challenging problems Experience in anomaly detection area is a plus.
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FM Global is seeking a Machine Learning Operations Data Engineer II to join our AI/ML team to support Machine Learning Engineering, working very closely with Data Science, Data Engineering, Subject Matter Experts and Solution Architecture teams.
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Projects in Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing, Audio Processing, Computer Vision, or other related fields. Our solution is built off of proprietary machine learning models trained on 10M+ documents to determine if text was generated by ChatGPT or other public LLM tools.
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Technical Proficiency: Combine your deep understanding of machine learning, statistics, and data science with practical experience in programming languages such as Python or R. Adaptive Learning: Stay abreast of the latest advancements in machine learning, data science, and related technologies, continuously adapting to new tools and methodologies to maintain competitive and technological edge.
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Then we bring our expertise across several AI domains including Generative AI, Conversational AI / Virtual Assistant, Data Science, Machine Learning Engineering, Document AI, and Robotic Process Automation.
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We are on the forefront of CBRN defense and we are looking for talented Data Scientists that have applied experience in the fields of artificial intelligence, machine learning and/or natural language processing to join our team.
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PhD in Computational Biology, Computational Bioengineering, Machine Learning, Statistics, Computer Science, Mathematics, or a related field. Significant experience and advanced knowledge of developing and applying algorithms in one or more of the following machine learning areas/tasks: deep learning, unsupervised feature learning, zero- or few-shot learning, active learning, transformer-based language modeling, multimodal learning, ensemble methods, scalable online estimation, and probabilistic graphical models.
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What you’ll bring to Circle: 5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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machine learning financial services jobs Title: data engineer Company: Kraft Heinz
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