... detection, and personalized financial services. You will collaborate closely with product managers, software engineers, and business stakeholders to translate ambiguous financial data into scalable, production-grade models. By deploying high-impact algorithms, you will directly influence our core business metrics, ensuring ...
... reporting & analytics capability to reshape the business of Commercial Real Estate using the power of data and we are just getting started on that journey! Senior Data Engineer is self-starter to work in a diverse and fast-paced environment that can join our Enterprise Data team. This is an individual contributor role that is ...
... 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, or ...
... vision, or deep learning. Certifications or courses in data science, analytics, or related fields. Should exhibit diligence and meticulousness in working with data 7+ years of Software Development experience - 4+ years of experience in the Data Science and Machine Learning techniques - Proven track record of getting ML models ...
... 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 ...
... shape. Senior Data Scientist We have an opportunity for a Senior Data Scientist to join our Data Science team in Bangalore, reporting to the Senior Director, Data Science. In this pivotal role, you will drive advanced analytics and machine learning solutions that power our security, networking, and cloud data products. ...
... deploying ML models in production environments (APIs, batch jobs, streaming).- Hands-on experience with big-data and lakehouse platforms such as Apache Spark, Databricks, and https://jobeax.com/link/suIRUaVEUax239mJ QUALIFICATIONS : - Experience with feature stores (Feast, Tecton) and data versioning tools (DVC).- Experience ...
... Behavior, Supply Chain, etc. - Exceptional SQL skills. - Experience with modern visualization tools like Tableau, Power BI, Domo, etc. - Knowledge of open-source, big data, and cloud infrastructure such as AWS, Hive, Snowflake, Presto, etc. - Experience with agile development methodologies. - Experience in retail or e-commerce ...
About Euromonitor Euromonitor International leads the world in data analytics and research into markets, industries, economies and consumers. We provide truly global insight and data on thousands of products and services; we are the first destination for organisations seeking growth. With our guidance, our clients can make ...
... working on platforms in past like CDP, Marketing automation, Google Analytics etc. - Experience with cloud platforms such as AWS, Azure, or Google Cloud for data storage and analysis. - Hands-on experience with data quality tools (e.g., Talend, Informatica Data Quality, Trifacta, Data Flux, ice DQ). - Hands-on experience ...
... Cloud services, and report development skills. - Hands-on experience with Azure cloud services including Azure Data Factory, Azure SQL, Azure Blob Storage, Azure Dataflow, Logic Apps, Azure Synapse Analytics, Function Apps, and Key Vaults for building and orchestrating data pipelines, serverless integrations, and secure secrets ...
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 ...
... 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: ...
... areas through data. Experience / Qualifications - Bachelor's degree in data science, statistics, computer science, mathematics, information systems, business analytics, finance, economics, or related field; master's degree preferred. - 8+ years of data analytics, BI, statistical analysis, or related experience; Advanced SQL ...
... compliance. Production Support & Data Operations Provide L2/L3 support for critical enterprise data platforms and reporting applications. 8+ years of experience in Data Engineering, Data Analytics, Data Warehousing, and BI Reporting environments. - Strong hands-on expertise in DataIKU, MicroStrategy, Oracle, SQL, ODI,TWS and ...
... 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, ...
... 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+ ...
... of open and proprietary sources. Ensure the integrity, confidentiality, and security of all datasets. Collaborate with key stakeholders to ingest volumes of data, policy, and program points. All other duties, as assigned. Qualifications Bachelor's degree with five years of experience in data analytics, information systems, ...
... as Azure, AWS, or GCP—including their AI/ML services such as Azure OpenAI, AWS Bedrock, or Vertex AI—as well as container orchestration (Kubernetes, Docker), Big Data, Databricks, CI/CD at platform scale, and distributed systems. Prior experience with AI control-plane and agent-runtime patterns: model/LLM gateway, A2A ...