科技職缺
職缺列表
Financial Analyst - Senior
We are looking for a talented Financial Analyst – Senior to join our team in Eaton Cummins Joint Venture (ECJV): Eaton Cummins Automated Transmission Technologies in Galesburg, MI. This role is an employee of the Eaton…
Supply Chain Manager
At Cummins, we believe your passion is your power. Supercharge your career with the support of a global team that empowers you to do your best work. We are looking for a talented Supply Chain Manager to join our team…
Data Analyst – Business & Data Mapping (Teradata FSLDM)
Data analyst focused on business and data mapping using Teradata FSLDM, collaborating with stakeholders to gather requirements, develop mapping documentation, and validate data for accurate reporting. Core stack: Teradata FSLDM, SQL, Tableau, Power BI, Excel.
Azure Architect
Azure Architect designing and managing secure, scalable cloud solutions on Microsoft Azure, including migration, infrastructure, IaC, and CI/CD pipelines, while driving technical innovation and evaluating AI/ML and Gen AI adoption across cross-functional teams.
Project Manager
Project Manager driving engineering excellence: defines multi-year technical strategy, oversees system architecture for millions of users, leads platform modernization/migration projects, and partners with C-level execs. Onsite in Bangalore using Agile/Scrum, microservices, JIRA, Azure DevOps, CI/CD, and Gen AI.
Data Engineer
Remote Data Engineer designing, implementing, and maintaining scalable data pipelines and architectures while collaborating with data scientists and analysts on data modeling, storage optimization, and data quality across cross-functional teams.
Snowflake Data Engineer
Remote Snowflake Data Engineer designing scalable data pipelines and optimizing Snowflake-based data solutions to drive analytics and business insights. Core stack: Snowflake, SQL, Python, ETL, and cloud data warehousing.
DATA Engineer
Data Engineer building and maintaining ETL data pipelines with SQL and Python, integrating ML models and working with Spark, Kafka, and cloud services (Azure, GCP) in Pune.
AI/ML Engineer
Build and deploy intelligent AI/ML applications using Snowflake Cortex, LLM APIs, and Python frameworks. Responsibilities include developing ML pipelines, RAG/agentic AI systems, vector search with FAISS, Streamlit apps, and real-time streaming data integrations.
Azure Data Engineer ( Arabic Language)
Data Engineer crafting and maintaining data pipelines using Python and SQL with Azure/GCP, Spark, and Kafka for ETL processes, database management, and integrating machine learning models into data workflows.
Data Analyst
Data analyst role bridging business requirements and data architecture within banking/financial services projects built on the Teradata FSLDM. Day-to-day work centers on stakeholder workshops, source-to-target mapping, SQL-based data profiling, and ETL collaboration using Informatica, DataStage, or Talend.
Data Analyst
Analytics Consultant supporting global pharmaceutical clients by delivering strategic, data-driven insights on sales, marketing, and customer strategies while leading cross-functional project teams in Gurugram.
Solution Architect
Lead the design and architecture of a scalable eCommerce platform, including data modeling, customer profiling, API design, and integration with CMS, CRM, and payment gateways. Core technologies include eCommerce platforms (Shopify, Magento, WooCommerce), AWS/Azure, and web technologies (HTML, CSS, JavaScript).
Senior Implementation Engineer
Title: Senior Implementation Engineer Industry: Information Technology | Work Mode: Onsite | Location: Washington, D.C., USA Role Summary Embark on a rewarding career in the Information Technology industry as a Senior…
Ai/ml Engineer
A freelance remote AI/ML engineer develops and deploys large-scale systems for intelligent automation, predictive analytics, NLP, and generative AI, using Python, deep-learning frameworks, data engineering, and MLOps across AWS and other cloud platforms.
Ai/ml Engineer
Freelance AI/ML Engineer role focused on building a large-scale AI/ML platform with LLM, RAG, NLP, and generative AI capabilities. Day-to-day work involves data engineering, model development, deployment, MLOps, and system optimization using Python, TensorFlow, Scikit-learn, and AWS in a remote setting.