Skillset Requirements : - Experience : 5 to 10 years in data science- Programming : Minimum 5 years in Python- Machine Learning/NLP : At least 4 years- LLM & GenAI : Minimum 1.5 years with large language models and generative AI- Database Management : At least 2 years with any database- Cloud Deployment : 1+ years deploying ...
... Lead multiple data engineering teams across complex enterprise projects and cloud transformation initiatives. Design, build, and optimize scalable cloud-native data platforms and modern data ecosystems. Architect and implement Lakehouse solutions using industry best practices. Drive enterprise-wide data governance, data quality, ...
... outputs, partners with engineering and product teams on data design decisions, and proactively identifies opportunities to improve business outcomes through data. Own end-to-end analysis, including problem framing, data sourcing, methodology, validation, and insight delivery. Build and maintain complex datasets, data models, ...
... Future of Security at Netskope Netskope (NASDAQ: NTSK) is a leader in modern security and networking for the cloud and AI era. We secure and accelerate cloud, data, and AI in real time, everywhere. Thousands of customers, including more than 30 of the Fortune 100, trust the Netskope One platform, its Zero Trust Engine, and ...
... Python LLM / NLP EDA (Exploratory Data Analysis) Cloud Platforms (AWS, Azure, GCP) Explainable AI At least 4+ years of relevant experience and track record in Data Science: Machine Learning, Deep Learning and Statistical Data Analysis. MSc or PhD degree in CS or Mathematics, Bioinformatics, Statistics, Engineering, Physics ...
... frameworks and data validation processes. Collaborate with IT, Product, and Analytics teams to align data quality initiatives. Develop, monitor and maintain data processes in AWS environments. Assist in automating data workflows and troubleshooting cloud-based data issues Bachelor's degree in computer science, data science, ...
... High Availability environments. - Perform and validate database backups, restores, and recovery. - Support disaster recovery and data recoverability. - Analyze database performance and improve stability and scalability. - Troubleshoot business-critical production database incidents. - Maintain database security, configuration, ...
... the company's Application, Database and Infrastructure Architecture. Planning & implementing for backup and recovery of database. Manages the implementation of database consolidations. Backing up and restoring databases. Ensuring availability of system storage and planning future storage requirements for the database system. ...
... data preprocessing, feature engineering, and model evaluation. Familiarity with cloud platforms (AWS, Azure, GCP) for scalable AI solutions. Experience with data visualization tools and techniques. Knowledge of databases and data management. Experience & Qualifications Experience Range: 8+ years in IT, data science, AI/ML, ...
... skills; Experience as a Data Engineer or in a similar role, with a strong understanding of data engineering concepts and methodologies, including data modeling and database design to support scalable data solutions. Strong knowledge of writing and optimizing SQL queries to retrieve, manipulate, and analyze data efficiently. Experience ...
... other business intelligence tools and data technologies across Unix, mainframe, or Windows platforms. - Knowledge of cloud computing on Google Cloud Platform, data modelling, Adobe Analytics, and exposure to data quality assessment and control, including delivery on data and information management projects of varying complexity. ...
... Collaborate with Smart Manufacturing Strategy Leads to align data science efforts with business goals across Micron sites. Provide mentorship and coaching to data scientists and engineers to nurture their technical skills. Perform exploratory data analysis and feature engineering on structured and unstructured data. Fluency ...
... experience with Postgres DBA with Greenplum + Az Provide consultation/support to application development gro Maintain day to day support of mission critical database plant and ensure plant stability/modernization using industry standard devops pract Showcase expertise to regularly improve and enhance the plant functionality ...
... AI, AI safety, data privacy, and data security best practices. Experience with vector databases, embeddings, prompt engineering, and LLM evaluation frameworks. Data Science Leadership Machine Learning Generative AI & LLMs Natural Language Processing (NLP) MLOps & Model Deployment AI Strategy & Innovation Data-Driven Decision ...
... improving and maintaining new and existing databases to help users retrieve data https://jobeax.com/link/bpUDbLzR6pBwS6XN : - Design stable, reliable and effective databases- Optimize and maintain legacy systems- Modify databases according to requests and perform tests- Solve database usage issues and malfunctions- Liaise with ...
... Have :- SAP Business Data Cloud data products / BTP administration.- SAP Databricks / Databricks (PySpark, Delta Lake, Unity Catalog).- Git-based workflows, CI/CD for data artefacts (abapGit, gCTS).- Microsoft Fabric / Power BI exposure.- SAP certification (Datasphere, HANA Cloud Modeling, or BW/4HANA). (ref:hirist.tech)
Summary :We are looking for an experienced Oracle DBA L3 with 7 -10 years of hands-on experience in Oracle Database Administration. The ideal candidate should have strong expertise in Oracle RAC installation, RAC architecture, Oracle Database 19c, backup & recovery, database patching, and security best practices. Experience ...
... logically sound, reasonably challenging, and easily communicable to non-technical teams. Data Engineering & EDA: Clean, preprocess, and validate large, complex datasets (structured/unstructured). Perform deep-dive Exploratory Data Analysis (EDA) to identify patterns, ensure data integrity, and set the initial strategic direction ...
... Experience : 6 to 8 years Skill Sets and capabilities : Technical Lead SQL 2012, 2019 replication, clustering, mirroring query optimization Create, test and execute data management languages Analyze and sustain capacity and performance requirements Analyze, consolidate and tune database for optimal efficiency Monitor, analyze ...
... many founders of their own companies. Overview We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of ...