... solutions for the new requirements. - Coding independently and with other team members with proper software industry standard best practices. - Collaborate with data analysts/ product managers in understanding the data. - Work closely with Data Analysts and QA (Quality Assurance) teams and deliver the product end to end. Qualifications: ...
... factual accuracy, or comparing responses — when projects are available. While each project involves unique tasks, contributors may: - Carefully review provided data (text, images, or videos); - Label or classify content based on project guidelines; - Identify and flag factually incorrect, sensitive, inappropriate, or unclear ...
... industry leader. Work with data and analytics experts to strive for greater functionality in our data systems. Mandatory Skills Description: - Bachelor's or Master's degree in Computer Science, Data Engineering, or a related technical field - 8+ years of experience in data engineering (or equivalent hands on experience ...
... Install, configure, and update database software and tools - Monitor and optimize database performance and capacity - Perform backup and recovery operations- Ensure database security and compliance with policies and standards - Diagnose and resolve database issues and errors - Support database development and testing activities ...
... Mathematics, or a related technical field; Strong communication and collaboration skills, with the ability to influence across global teams and mentor junior data scientists or analysts Own one or more data science projects end-to-end — from problem definition through deployment — in a key product or platform area Establish ...
... SAP's AI. While generic AI agents operate on surface-level patterns, SAP agents are accurate because they understand the real semantics of enterprise business master data, process flows, and domain relationships. You'll work alongside senior scientists and engineers to build and scale the layer that makes that possible. - ...
... governance principles, data quality checks on each data layer. - A successful history of manipulating, processing and extracting value from large disconnected datasets. - Working knowledge of message queuing, stream processing, and highly scalable big data data stores. - Strong project management and organizational skills. ...
... and mitigate data risks throughout the data lifecycle, including protection, retention, storage, use, and quality l Partner with technology teams to capture data sources, formats, and data flows so that data can be validated for downstream analytics and reporting l Investigate and document potential data quality issues, ...
... vector-based data pipelines for AI and GenAI use cases Develop scalable batch and streaming data pipelines using cloud-based data platforms (e.g., Snowflake or Databricks) Create and evolve semantic data models that transform raw data into analytics-ready, trustworthy datasets Build data preprocessing, validation, and quality-assurance ...
Job Summary :We are seeking an experienced SAP FICO Analyst with 4 - 6 years of hands-on experience in SAP ECC and S/4HANA environments. The ideal candidate will possess strong expertise in Financial Accounting (FI) and Controlling (CO) modules, including New GL, Accounts Payable, Accounts Receivable, Asset Accounting, ...
Overview Sr Data Engineer Position Summary We are looking for a self-sufficient BI Analyst / Data Engineer to join a small, high-impact analytics team. In this role you will own the full lifecycle of business intelligence delivery—from building and maintaining ETL pipelines in AWS to designing interactive dashboards in ...
... Install, configure, and update database software and tools - Monitor and optimize database performance and capacity - Perform backup and recovery operations- Ensure database security and compliance with policies and standards - Diagnose and resolve database issues and errors - Support database development and testing activities ...
... with LangChain , RAG , and agent workflows Translate business goals into production-ready AI applications Work with prompt engineering , embeddings, and vector databases Collaborate with engineering, product, and data teams on performance optimization Deploy AI solutions on AWS, Azure, or GCP and ensure cloud efficiency Requirements: ...
... and internal partners to develop, test and operationalize data science and analytical solutions as well as ensure its adoption by businesses. Work toleveragedata (Transactional / Big Data, External/ Internal Data, Structured/ Unstructured Data) and analytics methodsto develop analytics solutions 6 - 8 years of experience, ...
... multi-project delivery portfolios. - Strong understanding of Agile methodologies. - Experience working directly with international clients. Preferred: PMP, Scrum Master, SAFe, or Agile certifications. Exposure to Manufacturing, Logistics, Healthcare, and Digital Transformation initiatives. Experience leading distributed teams ...
... 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, ...
... 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 ...
... degree in data science, Mathematics, Statistics, Computer Science, or related field AND 5+ years related experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR master's degree in data science, Mathematics, Statistics, Computer Science, or related field AND 4+ ...
Principal Data Scientist with GenAI - 8+ years - BangaloreSummary :We are looking for an experienced Principal Data Scientist / GenAI professional who can independently develop, implement, and deploy Machine Learning and Generative AI use cases across functions. The role involves working closely with internal teams and ...