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Extensive Python/React hands-on experience. This role incorporates both hands-on, and Team/People Management elements, roughly on a 60/40 split. Play a key hands-on role in a product-focused squad.
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Technical Skills: Extensive hands-on experience with Fortinet products: FortiGate (firewalls and SD-WAN) FortiSwitch FortiAP FortiManager FortiAnalyzer Proficiency with other networking and security technologies: Palo Alto Networks Cisco Systems Aruba Networks Strong understanding of networking protocols, firewall policies, VPNs, IDS/IPS, and network segmentation.
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MLOps and Deployment: Hands-on experience in deploying machine learning models using CI/CD pipelines, containers (Docker, Kubernetes), and APIs for serving LLM/NLP models at scale. The role:SoFi’s Senior AI Specialist - GenAI, NLP (Banking/Financial Services) is a critical hands-on engineer position in SoFi’s growing independent risk organization focussed on applying data processing/reporting and practical artificial intelligence techniques to solve real world problems.
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10+ years in pharmaceutical or biotechnology Sales & Marketing Analytics, with hands-on experience in programming (Python, R, SQL) and using tools like AWS SageMaker. Extensive hands-on experience working with large datasets using tools like AWS SageMaker, Python, R, and SQL. Strong knowledge of various pharmaceutical data sources, including patient claims data from IQVIA/SHA, sales force activity data, physician prescription data, and real-world evidence data such as MarketScan and Optum claims.
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P Position Summary Hands-on Working knowledge of Azure-native technology stack like Azure AD, Defender for cloud (CSPM) & Identity, PIM, Conditional Access, Defender for Identity, AIP, Azure Log Analytics, Azure Monitoring, Azure Key Vault, Hands-on Working knowledge of Microsoft 365 security suite (Defender for Endpoint, Information Protection, Purview, DLP, EOP, Intune (MDM/MAM) and Defender for cloud Apps.
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Hands-on knowledge and expertise in building and/or securing technology, including operating systems, databases, virtualization, cloud computing environments, and networks. 2+ years of hands-on JIRA experience.
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Hands on experience in data engineering desired with extensive knowledge of SQL and PySpark, on Databricks Platform. Hands on experience designing, building, and optimizing data pipelines, architecture for large scale data warehousing projects.
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3+ years of hands-on experience as a quantitative developer developing financial models and software solutions. This is a hands-on development role where you will be 'embedded' within the quantitative research team and will partner with the investment teams on various projects including portfolio construction, risk management, and alpha research.
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Oversee assistants' work and ensure accuracy Collaborate with other internal departments (integrated media team, analytics team and creatives), external agency partners and clients What We're Looking For: Social Media Expert : 3-5 years of experience in Hands-On keyboard media buying and digital media strategy, with in-depth knowledge of Meta, TikTok, Snapchat, Pinterest, and LinkedIn. Google Analytics a plus.
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5+ years hands-on experience with related/complementary open source software platforms and languages (e.g. Java, Linux, Apache, Perl/Python/PHP, Chef, Scala) 5+ years hands-on experience with the Big Data stack (HDFS, SPARK, MapReduce, Hadoop, Sqoop, Pig, Hive, Hbase, Flume, Kafka.
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You have hands on experience with data visualization and reporting tools such as Tableau, R Shiny, and/or Looker. Collaborate on roadmaps with the Product, Data Science, and other Analytics teams to understand growth and risk factors of new and future product releases.
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Hands-on experience using IaC software tools (CloudFormation, Terraform, Azure Resource Manager, GCP Cloud Deployment Manager etc) and CI/CD tools (IDEs, GitLab, GitHuB, Jenkins, CircleCI, etc.
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Hands-on experience with data warehousing, data lakes, and analytics platforms (e.g., Snowflake, Redshift, BigQuery). If you are passionate about leveraging data to drive meaningful insights and have a proven track record in data engineering, analytics, and leadership we invite you to join us on this exciting journey.
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While the team only works for crypto and blockchain clients, the crypto associates at MWE gain hands-on experience in a wide range of practices areas, including crypto litigation, crypto bankruptcy litigation, regulatory advice, state licensing and trust charters, and enforcement defense.
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Hands-on experience with ETL/ELT tools (e.g., Informatica , DBT , Fivetran ) for data extraction, transformation, and loading. Required Skills & Qualifications : 5+ years of hands-on experience in data modeling , data architecture , and Snowflake development.
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hands on jobs Company: Carpenter Technology in Staten Island, NY
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