... etc). Create visualizations to help us deeply understand what our networks learn and why. Very comfortable writing Python. Atleast 3-6 years of experience in Data Science Strong data structures, algorithms, and engineering mathematics background. Familiar with PyTorch and training deep neural networks is preferred but not ...
... arrangements (remote and/or office-based) - Dynamic and inclusive work culture within a globally renowned group - Private Health Insurance - Pension Plan - Paid Time Off - Training & Development Note: Benefits differ based on employee level. About Capgemini Capgemini is a global leader in partnering with companies to transform ...
... formats. This includes tasks such as typing data into spreadsheets or databases, verifying accuracy, and ensuring that information is organized and accessible. Data entry services are often outsourced to specialized providers for efficiency and accuracy in handling large volumes of data. Services clients, drives best practices, ...
... direct financial and regulatory consequences. Agentic AI safety: ensuring autonomous agents operating on live financial data remain within sanctioned boundaries — particularly for high-stakes decisions such as credit line adjustments, fraud flags, and collections prioritisation. Scale and latency: serving real-time inference ...
... Data Engineer to drive our mission to unlock potential of data assets by consistently innovating, eliminating friction in how users access data from its Big Data repositories and enforce standards and principles in the Big Data space. The candidate will be part of an exciting, fast paced environment developing Data Engineering ...
... 7+ years of experience in an administrative / executive assistant role, ideally within financial services. - High attention to detail and accuracy, including data entry and record keeping. - Proficiency in Microsoft Office Suite (Word, Excel and Outlook). - Experience with Concur or similar expense systems beneficial. - ...
... batch jobs, database replication & Kafka- Set up and maintain monitoring/observability for data pipelines- Support ML pipelines, Airflow workflows and production data science infrastructureIDEAL PROFILE:Looking for candidates with strong hands-on experience in:- Data Operations- Production Data Engineering- Data Platform Support- ...
... dimensions, materials, fabrication feasibility and execution requirements. Ability to handle multiple projects and deliver high-quality designs within strict timelines. Strong creative visualization and attention to detail. IMPORTANT: This is a full-time, work-from-office position and is strictly open to candidates currently ...
... the Intern: - Assist in automation of monitoring and operational workflows through basic scripting. - Support infrastructure and network change monitoring as part of CI/CD pipelines. - Work with monitoring and observability tools (e.g. Grafana) - Contribute to infrastructure improvements using automation/orchestration principles. ...
... years of experience • Minimum 3 years of experience in design, build and deployment of Ab Initio-based applications • Expertise in handling complex large-scale Data Lake and Warehouse environments • Hands-on experience writing complex SQL queries, exporting and importing large amounts of data using utilities • Excellent verbal ...
... focus on reusable data pipelines, data schemas & products, and modern data engineering practices. This role requires an AI-first mindset in data engineering and data modeling activities that enable the business to use data effectively and consistently across domains. You will partner closely with product owners, data engineers, ...
Carries necessary calculations and payroll data entry payments and adjustments efficiently ensuring timely processing. Assists in delivering a smooth running of payroll process from entry to end of service with focus on confidentiality, accuracy, customer satisfaction and in accordance to Air Arabia policies and procedures. ...
... ensuring that data pipelines are robust, efficient, and scalable Part of a cross-disciplinary team, working closely with other data engineers, software engineers, data scientists, data managers and business partners. Implements and maintains reliable and scalable data infrastructure to move, process and serve data. Writes, deploys ...
... affordable healthcare. Build and manage digital analytics datasets and reporting solutions Develop data pipelines and analytical reporting frameworks Support data validation, UAT, process improvements, and analytics initiatives. Experience & Qualification: Python Power BI & Dashboard Development Data Modeling & Data Validation ...
... application development to join our team. The role involves managing development of FastAPI based applications to run large data modeling, and leveraging the Databricks platform. The ideal candidate will have a robust background in backend development, Data science model basics, and cloud-based solutions to drive data-driven ...
Senior Data Engineer – Data Pipelines & Cloud Databases Location: Pune | Experience: 4+ years | Type: Full-Time Role Overview Design, build, manage enterprise data pipelines on Azure and Databricks. Own schema design, API development, and data infrastructure for analytics and intelligence products. Key Responsibilities ...
Note: This job role is part of MetLife's Hack4Job India (a hiring hackathon). Only shortlisted candidates will be invited. Department: Global Technology Role Overview MetLife is seeking an experienced Data Engineer to drive our digital and AI transformation journey. This role focuses on building modern data platforms, enhancing ...
... disparate sources.- Optimize Snowflake database performance by managing compute resources, clustering keys, and materialized views to reduce latency for end-users.- Partner with business stakeholders to define data requirements, ensuring that the data warehouse architecture aligns with long-term strategic business objectives.- ...
... https://jobeax.com/link/TvfOgTReNTFVgNXo Skills:- Experience working with AWS Data Lake architectures.- Knowledge of data partitioning, file formats such as Parquet/Avro, and data optimization techniques.- Experience with CI/CD and DevOps practices for data pipelines.- Understanding of data security, IAM, monitoring, and governance on AWS.- ...