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Transform your career to the next level with GDIT as a Solutions Architect where you can elevate your skills in Data Science, Machine Learning, or leading AI techniques and technology expertise into solutions in support of our Government customers.
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Job Description Support GDIT's FedCiv business areas by developing solutions to deliver capabilities, focusing on Data Science, Machine Learning, and emerging artificial intelligence (AI) capabilities.
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Provide technical excellence to apply state-of-the-art machine learning / artificial intelligence utilizing technologies such as Spark, R, Hadoop, Scala, SQL to real world infrastructure business problems.
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Senior Machine Learning Engineer (Python, Spark, MLOPS, Cloud) New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Machine Learning Engineer. As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.
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New York City (Hybrid On-Site): $201,400 - $229,900 for Lead Machine Learning Engineer. Lead Machine Learning Engineer, Bank Tech. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications.
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We are a multidisciplinary team with expertise in machine learning, data engineering, and software development. New York City (Hybrid On-Site): $234,700 - $267,900 for Sr. Mgr, Machine Learning Engineering.
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The RolePalantir has been selected as the prime contractor for the development and delivery of the Tactical Intelligence Targeting Access Node (TITAN) ground station system, the Army’s next-generation deep-sensing capability enabled by artificial intelligence and machine learning (AI/ML.
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Technical Skills : Outstanding skillsin programming in Python, SQL/Spark; statistics, machine learning, and optimization tools. Optimization and Machine Learning : Employ optimization and machine learning techniques ininventory placement to improve efficiency and reduce costs across the network.
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Basic knowledge of developing big data applications on cloud platforms (Spark, EMR, Glue ETL, Machine Learning. 3+ years of development experience with AWS cloud services utilizing various support tools (e.g. EC2, ECS, S3, Kinesis, VMs, CloudWatch, Route53, ALB, EFS, EMR.
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LMI is seeking a seasoned Lead Data Scientist to spearhead the development, testing, and deployment of machine learning (ML) models. Deep knowledge and practical experience with delivering sophisticated data analysis and machine learning solutions using Python.
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PhD Computer Science, Mathematics, Statistics, Physics, Linguistics or a related field with a dissertation, thesis or final project centered in Machine Learning and Deep Learning) with 2+ years relevant experience is preferred but not a must; OR Masters or Bachelor’s in related field with 3+ years relevant experience.
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As a Senior Reliability Engineer, you will play a critical role in ensuring the robustness, availability, and performance of our cutting-edge Data Engineering and Machine Learning Platforms.
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Build end-to-end machine learning workflow, from data pipeline, modeling, tuning, evaluation, to continuous improvement, etc. Provide technical guidance to team members on machine learning, distributed systems, cloud computing, etc.
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As a data scientist, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence.
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Experienced Data Analyst/Machine Learning Engineer. Data Analyst/Machine Learning Engineer. 5+ years related experience with a focus on Data Mining and Machine Learning.
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