... will move between a consumer experiment measured in days, a multi-system operational workflow where the edge cases are the actual work, and a problem that needs data engineering and data science support before a line of UI gets built. Each demands a different mode of thinking and the same https://jobeax.com/link/0mv38lEsHNQkQXvn ...
... storage. Build and maintain medical imaging data repositories, ensuring seamless access, query optimization, and compliance with healthcare regulations. Implement data processing workflows for clinical imaging data (CT, MRI) to extract, standardize, and structure metadata. Develop scalable solutions for medical imaging data ...
Experience: 3 -5 Years (In Data Analytics) Mode: Hybrid - Fulltime Location: Bangalore Must Have Skills: Advanced SQL, Complex queries, Business Analysis, Experimentation Prefer: Immediate Joiners/Serving Notice Key Skills & Qualifications: Advanced SQL expertise with strong proficiency in writing and optimizing complex ...
... Machine Learning, Scikit-learn, XgBoost, SQL GeoIQ (a Lenskart subsidiary) is India's leading hyperlocal location AI platform, helping businesses make precise, data-driven decisions using street-level intelligence across demographics, income, infrastructure, and commercial activity. As a Data Scientist, you will be a core ...
... 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, ...
... Kinesis, FireHose, Lambda, and IAM roles and permissions Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases) Experience with dbt (data build tool) for transformation layer management and semantic modeling. Familiarity with data lakehouse ...
... indoor & outdoor illumination, earthing and lightning protection etc. - Hands on experience on using ETAP & SKM software. - Prepare technical specifications, data sheets for electrical equipment’s like transformers, DG sets, switchgear, UPS, Battery & Battery charger, Distribution boards etc. - Vendor drawing review of ...
... Algorithms.- Strong knowledge of Machine Learning and Deep Learning.- Practical understanding of LLMs / Generative AI.- Experience handling structured and unstructured data, including Text and Image data.- Strong experience in data loading, validation, cleaning and preprocessing.- Ability to develop, evaluate and optimize Data Science ...
... https://jobeax.com/link/mByBsG1n8QDvMkTk about the role? What your typical day would look like? : We are looking for a Machine Learning Engineer who will work on a broad range of cutting-edge data analytics and machine learning problems across a variety of https://jobeax.com/link/3ximr3pRxou0baO8 specifically, you will : - Engage with clients to understand ...
... Engineering. You will possess deep technical expertise as a AI engineer and a strong commitment to participate in the entire AI development lifecycle, including data collection, preprocessing, model training, evaluation, and deployment. This role works on multiple technologies and databases to make sure the product development ...
... with significant exposure to eCommerce, digital marketing, loyalty programs, or omnichannel retail. - Expert SQL skills and significant experience with large datasets in Snowflake, Databricks, or similar platforms. - Strong proficiency in Python (pandas, scikit-learn, stats models) for modeling, feature engineering, and ...
We are seeking a Senior Data Scientist / Gen AI Developer who is passionate about transforming raw data into intelligent business insights and building AI models that solve real-world problems. In this role, you'll work across the entire data science lifecycle from exploratory analysis and statistical modelling to deploying ...
... secure and high performance data platforms and architectures Lead the development of batch and real time data processing solutions using modern cloud and big data technologies Define data engineering standards best practices and governance frameworks Drive architectural decisions for data lakes lakehouses data warehouses ...
... and processing - Experience with big data and real-time processing technologies, including Apache Spark, Hadoop, Kafka, and Amazon Kinesis - Experience with data modelling and database design across Structured Query Language and NoSQL platforms - Understanding of data governance, data quality, and security best practices ...
... help them make faster and smart decisions using science solutions across Amazon fly wheel on all inputs (Selection, Pricing and Speed). 2+ years of processing data with a massively parallel technology (such as Redshift, Teradata, Netezza, Spark or Hadoop based big data solution) experience 2+ years of relational database ...
... 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 ...
... Design Operations: Design, develop, and support data pipelines to extract, transform, and load (ETL/ELT) data into the new harmonized data platform. Utilize Azure Data Factory (ADF) for orchestration (scheduling, workflow management) and Azure Databricks (Spark) for large-scale data transformation and processing. Ensure pipelines ...
... degree in Computer Science, AI, Electronics, Electrical Engineering, or related field. Strong Python programming with TensorFlow and PyTorch. - Experience with data preprocessing, augmentation, and large-scale image/video datasets. - Hands-on experience with Transformers, RNNs, Vision Transformers (ViT), Transfer Learning, ...
... compelling and clear business focused insights. Can work with multiple databases and big data solutions. Work with the data engineering team to develop & maintain data pipelines. Identify, design, and implement internal process improvements and tools to automate data processing and ensure data integrity while meeting data security ...
... compliant data usage (e.g. KYC, AML, transaction monitoring), Support cross-border data transfer mechanisms Data Subject Rights & Governance - Oversee handling of Data Subject Access Requests (DSARs), consent management, and data lifecycle policies, Maintain Records of Processing Activities (ROPA) across all entities Deep understanding ...