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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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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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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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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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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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Growth stipend: We believe learning is the key to winning, so we offer an annual learning budget of $1,200 per person to spend on courses, conferences, coaching, or whatever you think will help you improve and grow as a software engineer.
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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 Yesterday - UpvoteDownvoteShare Job
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Collaborate with cross-functional teams including data scientists and product managers to align machine learning solutions with business objectives. 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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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.
$176,000 - $333,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Ability work with stakeholders to drive project ideas and turn them into rigorous solutionsExpert knowledge of Python and SQLDesired CharacteristicsWorking experience with product teams to deploy prescriptive machine learning models to drive one or more KPIs. Knowledge of enterprise-level digital analytics platforms (e.g. Adobe Analytics, Google Analytics, etc.
$185,000 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Backed by artificial intelligence and machine learning, Jerry simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. After the overwhelming success of our chatbot/voicebot technology, we decided to invest in Propelix as a B2B GenAI prompt engineering platform provider to allow other companies to leverage our highly customizable AI-based virtual agent framework to help scale their business.
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A software engineering industry certification, including but not limited to: Certified Scrum Developer (CSD), Certified Scrum Master (CSM), Certified Software Development Professional (CSDP), Certified Secure Software Lifecycle Professional (CSSLP), Amazon Certified: AWS Certified Developer, Microsoft Certified: Azure Developer, Certified Software Test Professional (CSTP.
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machine learning software engineering jobs Title: product management in New York, Bentonville, Kansas
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