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Under this program, we will make you stand out from the rest of the jobseekers by offering Skill enhancement training on the technologies in-demand including time management skills, study skills, test-taking skills, and learning strategies after which we can assist candidates in getting jobs as software programmers / Java Programmers / Data scientists / Machine learning engineers / Data analysts.
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This role focuses on developing, deploying, and managing scalable machine learning solutions within our tech stack that includes Snowflake, dbt, Python, Kubernetes, and Java. The ideal candidate will have a strong foundation in software engineering and data infrastructure, as well as a proven ability to implement efficient, scalable, and robust decisioning platforms.
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Mathematics, physics, statistics, stochastic calculus, scientific computing, econometrics, machine learning algorithms, financial modeling. How you will fulfill your potential: Develop software and analytics to progress Corporate Treasury’s mandates: interest rate pricing & risk management, trade execution, funding optimization & liquidity risk management and cash & collateral management Optimize the firm’s liability stack by developing balance sheet analytics and hedging strategies Actively engage with Corporate Treasury Trading, supporting valuation and risk/P&L reporting.
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We utilize cutting-edge machine learning and contract software, enhancing traditional legal services and bringing together experts in engineering, AI, and law. With our ambitious product vision, you will have ample opportunities to grow your career as an Engineering Manager, scaling our engineering team and shaping the future of our engineering processes.
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Experience building loan-level credit/prepayment models from data preparation, data analysis, and model estimation through deployment into productionExperience with generalized regression models as well as machine learning frameworksVery strong programming and software design skills (Python, C.
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As a Staff Machine Learning Engineering Manager, you will work with cross-functional leads to design solutions in a highly ambiguous, impactful, and interesting problem space with a high degree of autonomy.
$189,600 - $284,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Collaborate closely with other engineering guilds to integrate machine learning components into larger software systems and develop end-to-end solutions. At least 2 years of experience in machine learning engineering or related roles.
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Demonstrated expertise in machine learning, deep learning, and NLP, with a strong portfolio in large language models like GPT-3, BERT, and RAG.Advanced proficiency in Python, with hands-on experience in ML libraries and frameworks such as TensorFlow and PyTorch.
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As machine learning engineer, you’ll contribute to our ML research and development in areas including data collection, data curation, continued pre-training, ablation studies, evals, creation of hand-crafted supervised fine-tuning data, preference optimization, and state-of-the-art reinforcement learning research.
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Machine Learning Scientist – Quant AI - Vice PresidentThe Machine Learning Center of Excellence invites the successful candidate to apply sophisticated machine learning methods to a wide variety of complex tasks including natural language processing, speech analytics, time series, reinforcement learning and recommendation systems.
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Working closely with NVIDIA Research, Developer Technology, and Product Management teams in the areas of quantum computing, programming systems, and machine learning. In this role, you will be part of an engineering team designing, developing, and optimizing software to accelerate Quantum Computing frameworks.
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Job DescriptionGen AI Solution Architect/Delivery Lead -DescriptionJob Title: Databricks Generative AI Solution Architect / Delivery LeadJob Location: Hybrid (preferred base cities: Atlanta, NYC, Chicago, NYC, Dallas, Houston, and Seattle)Job description: The AI Architect will leverage expertise in data science, specifically in artificial intelligence, machine learning, and software architecture to address complex business challenges.
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A Software development firm in NYC is looking for a VP of Engineering. VP Of Software Engineering. Designing and developing applications using full stack engineering architecture leveraging frontend, middleware and backend technologies such as Java, Spring Boot, Python and enterprise SQL / No SQL databases.
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Coursework at the graduate or undergraduate level in artificial intelligence, virtual reality, machine learning, natural language processing, blockchain, and/or bioinformatics. Coursework at the graduate or undergraduate level in artificial intelligence, virtual reality, machine learning, natural language processing, blockchain, and/or bioinformatics is required.
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Attract and retain the high-caliber Software Engineering talent needed to deliver against SiriusXM’s Product Roadmap through high-performance, on-time and on-budget development programs.
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machine learning software engineering jobs Company: Icapital in New York, Bentonville, Kansas
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