... Python packages for serverless applications. - Hands-on experience with AWS services including Lambda, EC2, EMR, S3, Athena, Batch, Textract, and Comprehend. - Work seamlessly across Data Science, Engineering, Product, DevOps, and Data Engineering teams to align technical decisions with business goals, ensuring smooth integration ...
... workflows, and structured output pipelines for LLM applications. Fine-tune, evaluate, and optimize LLM-powered applications for accuracy, latency, and cost. Implement data preprocessing, feature engineering, and ML model training workflows. Work with structured and unstructured datasets to solve business problems. Collaborate with ...
... Databricks Platform: Practical experience with Databricks workspace, cluster management, notebooks, and job orchestration - Workspace AI Agent: Knowledge of Databricks Workspace AI Agent capabilities and integration - Data Modelling: Experience implementing data models including dimensional modeling, data vault, or lakehouse ...
... the next few years and continue for much longer as models take on new domains. Handshake AI supports all of the frontier AI labs, working on their most complex data at the largest scale. We are looking for a Data Analyst to support the Finance and Central Operations organization and help build the data infrastructure, reporting, ...
... pipelines Automate workflows for data ingestion, preprocessing, training, validation, and deployment Establish monitoring and alerting systems for model performance, data drift, and infrastructure health Ensure reproducibility, traceability, and compliance with regulatory standards Work closely with data scientists, data engineers, ...
... store. You will be responsible for designing scalable data models, optimizing query performance, and ensuring the platform remains reliable and cost-efficient as data volumes and workloads https://jobeax.com/link/6P8s6hBOPJeiA62U will work closely with data scientists, analysts, product engineers, and other engineering teams ...
Senior Data Engineer – Graph Database & Data Intelligence Position: Senior Data Engineer Experience Required: 6+ Years Location: Remote Employment Type: Contract We are seeking a highly skilled Senior Data Engineer with expertise in Graph Databases, Data Modeling, and modern backend frameworks. The ideal candidate should ...
... manage databases and data warehouses and optimise database performance and storage across multipul platforms, e.g. Snowflake, PostgreSQL RDS & Aurora. Ensure data quality, integrity, and reliability, whilst adhering to data security best practices. Work closely with data analysts, and other stakeholders to understand data ...
... correspondence standards. - Exceptional attention to detail and accuracy. - Ability to coordinate workflows across multiple digital tools and platforms. - Comfortable working with different data formats, including CSVs, PDFs, spreadsheets, and technical documents. - Strong written judgment and ability to evaluate different workflow ...
... scalable ETL/ELT data pipelines.- Build and manage distributed and event-driven architectures for large-scale data processing.- Develop backend services and data infrastructure using Python.- Implement DAG-based workflow orchestration using Airflow, Prefect, or Dagster.- Work with AWS services including Lambda, S3, ECS/EKS, ...
... using Pandas, SQLAlchemy, and database drivers.- Work with YAML-driven configurations and integrate with APIs where required.- Own CI/CD processes using Git workflows.- Document data models, pipeline logic, data lineage, and operational processes.Must-Have Skills : - 6+ years of experience in Data Engineering.- Strong ...
... jobs and recurring data pipelines.- Implement data quality checks, control totals, exception handling, and reconciliation processes.- Work with stakeholders, data owners, and vendor teams to validate source data, file formats, mappings, and integration requirements.- Support SIT, UAT, production deployment, and data-output ...
... research and data-science stakeholders make informed decisions. AI Workflow Automation Identify high-value opportunities to automate repetitive data and research workflows using generative AI, machine learning and rules-based orchestration. Design and implement AI-assisted workflows such as document and data extraction, semantic ...
... continuously building the company we all want to work for and our customers want to work with. Serves as a Clinical Data Reviewer and identify any errors in data by performing data review per DRP and issuing/closing queries. Performs ongoing review of clinical/medical aspects of the study participant data and documents ...
Exp: 6+ years Work Mode: Hybrid (3 days work from office) or Remote can also be provided. Key Responsibilities Design, develop, and maintain robust data pipelines in Hadoop and related ecosystems, ensuring data reliability, scalability, and performance. Implement data ETL processes for batch and streaming analytics requirements. ...
... explain the basis for your conclusions. - Translate complex legal concepts into clear, accessible language for non-lawyer audiences. - Follow confidentiality, data-handling, and conflict-of-interest requirements throughout the engagement. - Work exclusively with public or synthetic data provided for the project. Requirements ...
... a highly capable Data & Reporting Analyst to join our Finance function. It is a precision-driven position responsible for producing reliable, decision-grade data outputs that underpin business performance reporting across multiple jurisdictions. The role involves working with large, complex datasets extracted from systems ...
... democratizing Generative AI for everyone. Example Projects Create a python library on top of AWS services to enable GenAI for large enterprises. Implement neural network architecture from newly published papers. Work on tools which work with fine-tuned models, vector databases, embeddings etc. Develop more realistic simulations ...
... trees, ensemble methods, deep learning, neural networks, causal analysis). Practical experience in the full machine learning lifecycle from problem formulation, data acquisition, data cleaning to model building and deployment at enterprise https://jobeax.com/link/AsTDTp6i8kJTEE83 in Python or R, ML frameworks (PyTorch, TensorFlow, ...
... secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This is an opportunity to do career-defining work. As a Senior Data Analyst, you will play a crucial role in our data-driven decision-making process. You will be responsible for turning raw data into actionable ...