... field - 8+ years of experience in data engineering (or equivalent hands on experience with large scale data platforms) - Strong programming skills in Python for data processing, automation, and tooling - Hands on experience with Minio, Iceberg and DuckDB for large scale data processing - Advanced SQL skills, including complex ...
Flam is building the next generation of AI-native content formats that transform passive customer touchpoints into human-like visual interactions. We power enterprises to create immersive, interactive experiences across marketing, communication, and commerce using cutting-edge generative AI.
... 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 ...
... including generative AI and LLM-based approaches — using enterprise business data, knowledge graphs, business process intelligence, and structured and unstructured data assets. - Learn SAP's deep data and process context — data models, metadata structures, and business process semantics across Order-to-Cash, Procure-to-Pay, Record-to-Report, ...
... statistical modelling, and explainability libraries. Data Platforms & Engineering: Experience working with Snowflake, Snowpark, Spark/PySpark, MLflow, cloud-based data platforms, and scalable analytical environments. Healthcare Data Expertise: Experience working with de-identified patient-level data including claims, specialty ...
... diverse range of products and features. Drive user research, create detailed user journeys and take appropriate design decisions backed by user-behavior and data. Define design strategies by analyzing data models and derive best practices within the https://jobeax.com/link/ly8oVNJ1pU6Z16zi closely with cross-disciplinary ...
... workbooks or Excel-based reports into another BI platform. Knowledge of EventBridge-driven architectures and SQS/SNS messaging patterns. AWS certifications (e.g., Data Analytics Specialty, Solutions Architect Associate) are a plus. What We Offer The opportunity to work on a greenfield BI platform with modern cloud-native tooling. ...
... 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, ...
... problem-solving skills. Demonstrate excellent communication skills and the ability to work effectively in a team environment. Technical Skills Natural Language Processing (NLP): Hands-on experience in use case classification, topic modeling, Q&A and chatbots, search, Document AI, summarization, and content generation. Computer ...
... 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 ...
... ownership, OR - 2-3 years as Data/Backend Engineer with PM work (PRDs, roadmaps, user research) Technical Stack Depth Deep understanding: ETL/ELT pipelines, data warehousing, data lakes/lakehouses Advanced SQL (query optimization, not just SELECT statements) Hands-on with ONE of: Hive/Spark/Hadoop/HDFS, Snowflake/Databricks/BigQuery, ...
... process, with other functions or agencies handling the remainder, are not suited to this position. The workflow, owned end to end, includes the following. - Data sourcing. Building target lists from a defined ICP rather than inherited or purchased lists. - Data enrichment and hygiene. Verifying, deduplicating, and completing ...
... that transforms how people move through the digital world, putting Identity at the heart of business security and growth. Role Overview: Senior Product Manager, Data Platform As the Architect of Okta’s data-driven future, the Senior Product Manager for Data Platform orchestrates the evolution of our core data infrastructure, ...
... at the data which would result in new product Requirements What you’ll do - Formulating hypotheses and developing proof-of-concept ML models for NLP, Image Processing, - Supervised/Unsupervised Learning tasks - Translating Industry specific knowledge into proper models - Monitoring and ensuring data quality - Communicating ...
... - Closed source LLMs such as Open AI GPT, Azure Open AI, Claude, Gemini etc - Understand business problems and translate them into AI/ML solutions. - Perform data collection, preprocessing, feature engineering, and exploratory data analysis. - Develop supervised and unsupervised machine learning models. - Design and optimize ...
Front face customer to understand data requirements and analyse data Build solutions and systems to manage data and analytics workload Improve reliability, quality, and time-to-market of our suite of software solutions. Responsibilities: Using SQL/Python to extract data from primary and secondary sources Performing analysis ...
... hands-on experience in ML libraries (scikit-learn, XGBoost, TensorFlow, etc.). Expert knowledge of SQL and working with relational databases. Proven experience with data wrangling, data pipelines, and ETL processes. Deep Understanding of AI Tools for Data Analytics (Experience with several of the following is required): Data Preparation ...
... veteran status, etc., We consider all applications based on merit and suitability to the role.” Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website. ***Issued By HSBC Electronic Data Processing (India) Private LTD***