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Job responsibilities Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Use an innovative, business -focused approach to engineer a variety of product features and solutions on the Neovest PorfolioOne platform.
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8+ years of professional data engineering or software engineering experience, with a focus on heterogeneous, large-scale data processing for machine learning pipelines. As a Staff Data Engineer at Prime, you will be solving problems around data modeling, scale, integrity, denormalization, availability, warehousing, analytics, machine learning infrastructure, and the list goes on.
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Hands-on practical experience in Terraform or any other IAC tool. As a Lead Software Engineer at JPMorgan Chase within the Corporate & Investment Bank, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way.
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2+ years of hands-on, post-grad, non-internship professional experience with Machine Learning in a production-based environment. Collaborate on projects with other Ranking Foundation and Core Experience engineers where you’ll apply Machine Learning to personalization, discovery and recommendation problems.
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Proficiency in Big Data and streaming platforms, such as Storm, Hadoop, and Cosmos, coupled with hands-on experience in machine learning. Spearheaded innovative initiatives utilising big data, machine learning (ML) techniques, and distributed systems to achieve tangible business outcomes.
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Hands on experience with technologies such as CI/CD utilizing tools such as Github, Jenkins, Terraform etc Strong experience in using industry standard monitoring tools e.g., Dynatrace, Splunk, AWS Cloud watch, Datadog, Grafana, etc Preferred qualifications, capabilities, and skills Familiarity of financial services industry and their IT systems Familiarity in software applications and technical processes (e.g., cloud, artificial intelligence, machine learning, etc.
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We are a cross-functional group of engineers, product managers, and we work closely with Applied Machine Learning (ML) Scientists working on cutting-edge foundational tools and software that accelerate model prototyping, scale up access to data, and create flexible solutions that increase the velocity of our applied scientists.
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As a Senior Software Engineer, you will be the co-owner with someone from the machine Learning side of the organization to one or more of the following services. We are currently seeking a highly experienced Senior Software Engineer with a minimum of 5 years of hands-on experience designing scalable solutions to join our fortune 500 healthcare client.
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Our mission and team expertise spans beyond software to advanced sensor systems, algorithms, embedded systems, signal processing, and machine learning. Hands-on experience with at least one main stream deep learning framework such as PyTorch, TensorFlow, and ONNX.
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You have in-depth understanding of applied machine learning algorithms, especially NLP, and statistics. You have hands-on experience with data analytics and data engineering.
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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. You should have hands on experience with building out data stacks from scratch (e.g. dbt, Snowflake, Airflow, Fivetran) - particularly bringing data into a data warehouse and building robust data pipelines that are well documented and tested.
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You have hands-on experience implementing production machine learning systems at scale in Java, Scala, Python, or similar languages. You routinely survey research publications in the machine learning and software engineering communities.
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You will be a Principal Engineer within Data Platform, both leading/guiding design and development as well as contributing in a quite hands-on capacity with Spark/Flink data processing and Java/Scala microservices development, owning much of the launch of a new platform which is driving industry-leading innovation on a hyper scale security data lake that helps find bad actors and stop breaches.
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The Sr. Software Engineer designs, develops, and tests solutions based on the functional and technical specifications to meet quality & performance requirements. Hands-on experience with AWS and it’s services (e.g. VPC, EC2, S3, Lambda, Redshift, etc.
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Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action.
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machine learning software engineer hands on jobs in New York, NY
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