... learning systems Research and implement appropriate ML algorithms and tools Develop machine learning applications according to requirements Select appropriate datasets and data representation methods • Run machine learning tests and experiments Perform statistical analysis and fine-tuning using test results Train and retrain ...
... is a GUI-driven tool that extends Excel capabilities to optimize outcome time, minimize user errors, and enhance reliability and accuracy with diverse source data types. NET core architecture, XL++ works on all Excel versions and processes large datasets efficiently. It features customized add-ons for data import, transformation, ...
... for structured and unstructured data. Ingest data from diverse sources such as APIs, streaming, and batch systems. Data Modeling & Warehousing Design efficient data models to support analytics and AI workloads. Develop and optimize data warehouses/lakes using Redshift, BigQuery, Snowflake, or Delta Lake. Big Data & Streaming ...
... and track Provider Credentialing documents and data in processing systems and shared spreadsheets. Monitor faxes, files and other sources of incoming Provider data notifications to ensure that Provider credentialing data is processed in a timely manner. Communicate with providers to obtain updated documents as needed during ...
... Python,Scala,SQL. Good to Have Skills: - Any of these add-on skills - Graph Database Modelling, Ontology, Semantic Data Modeling - Preferred understanding of Data Analytics on Cloud landscape and Data Lake knowledge. - Cloud Data Engineering, Cloud Data Integration - Must be familiar with Data Architecture Principles. Professional ...
About Klay: We are a boutique financial services firm providing unbiased expertise, tailored financial solutions and best-in-breed technology to clients around the world. We are seasoned experts across the full suite of wealth management, multi-family office, asset management and corporate advisory services.
Project Role : Infrastructure Engineer Project Role Description : Assist in defining requirements, designing and building data center technology components and testing efforts. Must have skills : Google Cloud Platform Architecture Good to have skills : Google Cloud Security Services Minimum 7.5 Year(s) Of Experience Is ...
... (Onsite) Experience: 2-4 years Employment Type: Full-time Notice Period: Immediate joiners preferred Working Days: 5 Days Role Overview We are looking for a Data Analyst to support business and product decision-making through data-driven insights. This role involves working with datasets, building dashboards, managing data pipelines, ...
... 18 LPA) Min Experience: 3+ years Location: Gurugram, Haryana, India JobType: full-time We are looking for a highly analytical and business-focused Business Analyst with 3–6 years of experience to support strategic decision-making, business planning, performance analysis, and data-driven initiatives. The ideal candidate ...
... pipelines, and developer tooling entirely on-premise. You'll build the core data infrastructure, tools, and internal products that enable hundreds of engineers, analysts, data scientists, and business teams to move faster. What You'll Do: Own product strategy, specs, and roadmaps for data platform components, APIs, and developer ...
Job Title: Senior Business Analyst (Presales) Job Type: Full Time Department: Pre-sales BA Simform is a premier digital engineering company specializing in Cloud, Data, AI/ML, and Experience Engineering to create seamless digital experiences and scalable products. Simform is a strong partner for Microsoft, AWS, Google Cloud, ...
... LangChain, LlamaIndex, and Hugging Face. Orchestration: LangGraph and Multi-Agent Systems (MAS). Development: Python, FastAPI, and Asynchronous Programming. RAG & Data: PostgreSQL, Vector Databases, and Advanced Retrieval strategies. ML/DL: PyTorch, TensorFlow, and Model Fine-tuning. Deployment: Docker, Production API management, ...
... generative AI and LLM-based solutions using enterprise business data, knowledge graphs, business process intelligence, and other structured and unstructured data assets. - Leverage SAP's deep data and process context including SAP data models, metadata structures, and business process semantics across Order-to-Cash, Procure-to-Pay, ...
... supervised, unsupervised, and reinforcement learning methods where relevant.- Time Series Analysis : Conduct forecasting and trend analysis for marketing and sales data.- Leadership : Mentor junior data scientists, set modeling standards, and ensure delivery excellence.- Collaboration : Work closely with marketing, product, and ...
... airports, infrastructure and border checkpoints. It brings all security operation information together onto a single, integrated and secure platform to achieve 100% data inspection of all cases. Using insights produced through machine learning, artificial intelligence (AI) and data science, our platform enables people to make ...
About Position: This role requires a strong background in data analytics and BI development, with a primary focus on Power BI and Snowflake. The candidate will work on building, managing, and optimizing data pipelines, reports, and dashboards while collaborating with clients and internal teams. Role: Data Analyst Location: ...
... sources (APIs, databases, files, streaming) Implement data transformation logic using modern data processing frameworks Build monitoring and alerting systems for data pipeline health Optimize pipeline performance and cost-efficiency Work closely with data scientists, analysts, and business stakeholders Collaborate with DevOps ...
... US product and analytics team. Build statistical and ML models to create, expand, and score audience segments from survey, panel, purchase, and media-exposure data Lead data fusion work, combining deterministic and probabilistic sources into one representative consumer view while correcting for bias Partner with ML Engineering ...
... techniques, and perform data mining using state-of-the-art methods. Extend the company's data infrastructure with third-party sources of information and enhance data collection procedures to include all data relevant for building robust analytic systems. Data Quality Assurance: Analysis & Automation: Perform ad-hoc analysis, ...