... purpose of this role is to develop, sustain and enhance technical architecture of Smith's cloud (and on-premise) based Platform and its applications. - The Senior Data Scientist is part of the overall Platform and Application Architecture group, working closely with Sales, Products & Technology, Program Management, Service and ...
... analysing, designing, configuring, testing, and deploying Workday HR solutions to meet the business requirements of clients. Skills and Qualific ation - 2-4 years of Workday Functional experience. - Expertise in Absence, Time tracking, Data conversion ,Learning, Advance Compensation, Payroll , Security and other complex HCM solutions. ...
... technical and non-technical audiences. Requirements: - 8–10 years of experience in data science or related fields. - At least 4 years of hands-on experience as a Data Scientist in real-world production environments. - Minimum of 2 years' experience working with Azure Cloud, including Databricks, Azure Data Factory (ADF), and ...
Try new things, learn new skills and discover what you excel at—all from Day One. The Data Analyst leads complex analytical work from problem definition through insight delivery. This role translates business needs into analytical approaches, builds and maintains complex data models and dashboards, applies advanced analytical ...
... 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, ...
... Engineer to design, build, and optimize scalable data solutions. The role involves working across data engineering, ETL/ELT, cloud platforms, big data technologies, data warehousing, and production data https://jobeax.com/link/Hs9HFpL9CgnoXDpa Future Employer :A leading global AI and analytics organization working on data engineering, ...
... Experience with MLOps tools and frameworks for CI/CD, model deployment, and monitoring. Knowledge of Agentic AI systems and autonomous agents. Strong understanding of data preprocessing, feature engineering, and model evaluation. Familiarity with cloud platforms (AWS, Azure, GCP) for scalable AI solutions. Experience with data visualization ...
... technical concepts to business audiences. - Experience in leading project teams and providing technical direction. Extensive experience working in the data science, data engineering, or analytics profession. Hands-on experience working with extremely large data sets and building scalable models. Experience in data visualization ...
... experience in designing end-to-end product features from discovery to delivery (user flows, wireframes, high-fidelity UI, and interaction design).- Experience working on complex dashboards, multi-role systems, or workflow-heavy products (e.g., producer tools, admin panels, or data-heavy interfaces).- Strong proficiency in ...
... ahead of evolving market https://jobeax.com/link/bHP32fTLsKnWIqIn Skillset : - Demonstrated expertise in building and deploying LLM-based applications using frameworks such as LangChain, LlamaIndex, or Haystack, with a deep understanding of prompt engineering and vector database management.- Proficiency in Python and deep learning ...
... project team to understand the functional and technical needs of the customer and develop technical solutions to meet those needs. - Design and develop platform workflow/ user interface, integration scripts, Data mapping, data modeling and loading of data. - Provide a variety of technical support to the project team, including ...
... and Product teams to build scalable, secure, and reliable database platforms for mission-critical workloads. 8-12 years of experience as a Database Engineer, Database Administrator, or Database Architect. - Strong hands-on expertise in PostgreSQL, and Amazon Aurora . - Strong experience in database schema design, data modeling, ...
... and maintain high-throughput, low latency systems that process 100s of millions of events per day to enable detection to identify notable events. - Establish data pipelines that ensure our data is updated regularly and reliably - Enhance our frameworks to allow us to make changes to our APIs and datasets in an agile manner ...
... https://jobeax.com/link/hgZXWGbivT1rywct Stack & Qualifications:- Bachelors degree in computer science, Data Analytics, Engineering, or a related discipline.- Strong grasp of core data engineering principles, including data lake architectures, columnar storage formats, ETL/ELT frameworks, and BI ecosystems.- Ability to operate effectively in ...
Join the 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 ...
... 5+ years in data or backend engineering. - Language-flexible: we work across TypeScript / Node and Python, and you're strong in at least one. - Strong SQL and data modeling across relational and analytical stores. - Solid grasp of ingestion, ETL, and pipeline architecture. - Experience designing data validation and quality ...
... 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 infrastructure, engineering, and research work. We are looking for a skilled Software Engineer ...
Job Description : Hexaware is urgently looking for Immediate joiners for Data Scientist + Gen AI Lead position. If interested, please share your updated profile on View email address on https://jobeax.com/link/vqHYNEElkLeMxovm Role : We are seeking a highly skilled Lead Data scientist with strong expertise in Generative ...
... large-scale data pipelines. Experience working with large datasets and optimizing complex SQL queries and data processing workloads. Experience with distributed data technologies such as Kafka, Spark, Flink, Trino/Presto, BigQuery, Snowflake, or similar systems. Strong experience with data quality, observability, monitoring, ...