... using Amazon Web Services Develop and optimize data workflows using Python, PySpark, and Structured Query Language to deliver reliable performance Partner with data scientists, analysts, and stakeholders to gather data requirements and deliver effective technical solutions Apply data governance, quality, and security best ...
... application and data engineering initiatives and build end-to-end data solutions that are highly available, scalable, stable, secure, and cost-effective. You deliver data & reporting solutions that are customer focused, easy to consume and create business impact. You are passionate about working with huge datasets and have experience ...
... optimization, and production-grade AI systems. We are looking for a highly technical Data Scientist who is passionate about developing and improving AI/ML models, working on transformer architectures, and contributing to advanced NLP research and development. As a Data Scientist, you will work on the training, fine-tuning, evaluation, ...
... solutions. Bachelor's degree or equivalent in Computer Science, MIS, Mathematics, Statistics, or similar discipline. Master's degree or PhD preferred. Relevant work experience in data engineering based on the following number of years: Fluency in English Planning & Organizing Skills Data Modeling and Database Design ETL (Extract, ...
... and analysis, as directed. Run and modify SQL queries to generate list reports from data sources. Generate data, identify problems within datasets, and resolve data discrepancies. Create dashboards and interactive custom visualizations using business intelligence tools. Assist in the development of processes and data pipelines ...
... understanding of data modelling concepts and analytical techniques; familiarity with scenario modelling or analytics would be an advantage. - Demonstrable experience of working in a Full Stack development or similar hybrid role, combining software development, data analysis and visualization. - Proficiency in data manipulation tools, ...
... responsibilities will include working closely with data modelers, data engineers, analysts, cross-functional teams, and other stakeholders to ensure that our data platform meets the needs of our organization and supports our data-driven initiatives. It also includes building a new data platform, integrating data from various ...
... solutioning for RFPs, pre-sales, and client workshops - Drive AI innovation and roadmap contributions within Newgen's product suite - Mentor and lead a team of data scientists Skills & Experience: - Strong exposure to LLMs, RAG, agent frameworks, orchestration patterns - Solid foundation in machine learning and data science ...
Mindrift is looking for highly skilled Vibecode specialists to join the Tendem project () and drive specialized data scraping workflows for real-world use cases. Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world ...
... optimize deep learning architectures for Computer Vision and NLP tasks. - Prompt Engineering/Tuning, RAG, RAFT, LLM finetuning such as PEFT(LoRA, QLoRA ..) - Vector databases like Pincone, Qdrant etc.· - Experience working with Text Data using transformer-based model· - Expertise with the following scripting languages:o - Python, ...
... Foster a High Performance Collaborative Workplace. Data Engineer II Will Support the design, implementation, and maintenance of enterprise ETL processes for data platforms, for a global client base. Assist in the data delivery process, working alongside Data Engineers and Analysts to support on-time, accurate, high-value, ...
... Discuss with stakeholders at various stages of the project, for data, to select an appropriate model form, and to set up an appropriate A/B experimentation framework. Opportunity to work with high-volume click-stream e-commerce data. Build and own robust model infrastructure pipelines and API meeting 99% SLA at very high RPS. ...
... Intelligence Platform team, you will: Build out performant APIs to serve consistent data that serve as sources of truth for many systems in Abnormal. 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 ...
... of critical data https://jobeax.com/link/boDgS4SCBwnLKaXL and maintain scalable data pipeline and database architectures to support operational and analytical workloads. Develop and optimize data solutions using relational and NoSQL databases while ensuring data quality, consistency, and performance. Build and support data ...
... inference, optimization, and advanced econometric modeling. As a Senior Data Scientist, you will develop production-grade Bayesian models, design optimization frameworks, evaluate marketing effectiveness, and translate complex statistical methodologies into actionable business recommendations. You will work closely with data ...
... control environment. - Proficiency in Microsoft Office suite (Excel, Access, PowerPoint, Word, Visio), advance levels of Excel (pivot tables, formulas, excel workbook maintenance best practices) - Knowledge of Essbase, Oracle Financials - Knowledge of Spotfire, Tableau, data analytics, Macros and visualization (or similar) ...
... of experience in Data Science / AI / Machine Learning - Strong proficiency in Python, SQL, and ML frameworks (Scikit-learn, TensorFlow, etc.) - Experience in data modeling, predictive analytics, and experimentation - Ability to work with unstructured and early-stage datasets - Strong problem-solving and systems thinking ...
... and real time data pipelines Build and maintain robust ETL ELT processes for ingesting transforming and loading data from multiple sources Develop and manage data lakes data warehouses and metadata frameworks Collaborate with cross functional teams to understand data requirements and deliver data solutions Ensure data quality ...
... growing data team. In this role, you will lead the design and implementation of scalable, high-performance data pipelines using Snowflake, dbt, and Matillion Data Productivity Cloud, define architectural best practices, and drive data transformation at scale. You will work closely with clients to translate business needs ...