... graph compilers to improve performance, reduce latency, and maximize hardware utilization. Work closely with ML researchers, hardware engineers, and software developers to design and deploy AI models, understanding and addressing hardware-specific challenges. Work on performance optimizations for neural network models, such ...
... improvements across our data engineering practices. 4+ years of data engineering experience, building and managing large-scale data pipelines - Strong proficiency in Python, PySpark, Spark, Databricks, Delta Lake, PowerBI and SQL, with hands-on experience using - Azure Data Factory, Azure Pipelines, Azure DevOps, and Git for version ...
... platforms. - Familiarity with API integrations, REST APIs, and webhooks used for integrating collaboration tools. - Exposure to scripting or automation (Shell, Python, or similar) to improve operational efficiency. - Experience working with ticketing and service management tools such as ServiceNow and Jira. - Exposure to cloud ...
... field.- 8+ years of experience in data engineering and architecture, with a proven track record of leading large-scale data initiatives.- Deep expertise in Python, PySpark.- Strong hands-on experience with Databricks (Spark, Delta Lake, Workflows).- Strong experience with AWS (S3, IAM, Textract, Bedrock or equivalent).- ...
... identifying commercial levers and drivers of value. Proficient in data analysis and modelling (e.g., regression, clustering, forecasting) using tools like SQL, Python, R, or Power BI/Tableau. Comfortable with data pipelines, ETL processes, and cloud environments (GCP, AWS, or Azure). Communication, Leadership & Influence • ...
... join our diverse team and see how you can make a lasting impact on the world! The NVIDIA Architecture Modelling group is looking for architects and software developers to join our various architecture efforts. A key part of NVIDIA's strength is to innovate in the graphics and parallel computing fields, delivering the highest ...
... Server). - Hands-on experience with core AWS cloud tools, specifically S3, Glue, and basic exposure to Redshift or Lambda. - Practical working knowledge of Python for data processing and ETL scripting. - Strong problem-solving skills and the ability to thrive in a fast-paced environment. - Clear communication and technical ...
... to ensure the project delivers high quality products to customers. The Data Engineer Lead also spends time developing data pipelines and/or data integrations stack. Job Duties/Essential Functions ● Leads DE team with one offshore member but can ramp-up sooner. This includes providing guidelines for team members, reviewing ...
... gaps. - Support strategic projects in partnership with Product, Tech, and Change partners, facilitating seamless change adoption with a key focus on strategic stack adoption. - Know the front to back Operations process (including the key elements such as confirmations, settlements, regulatory reporting) and facilitate issue ...
... architecture standards, design patterns, and best practices across data ingestion, processing, storage, and consumption layers - Drive adoption of modern data stack (e.g., cloud data platforms, data lakes/lakehouse, orchestration, APIs, AI/ML enablement) - Work with the DevOps team closely to create and own CI, CD , release ...
... available. You will develop data models by selecting from a variety of modeling techniques and implementing the chosen data model using the appropriate technology stack. You will be responsible for data governance, data security and data privacy to support business and compliance requirements. You will define the strategy for ...
... problem solving methods (such as DMAIC) Experiencee in standard data science and machine learning packages Have good understanding of the machine learning model stack (regression, classification, neural networks, time series) and packages (Scikit learn, Xgboost, Keras, Pytorch, Tensorflow, statsmodels) Working knowledge of ...
... and scalability, including profiling tools and techniques for both code and infrastructure. - Hands-on experience with data analytics or logging tools like ELK Stack (Elasticsearch, Logstash, Kibana) or Splunk for monitoring and troubleshooting application performance. Infor is a global leader in business cloud software products ...
... compliance. How You’ll Make an Impact: Credit Risk Model Development & Delivery - Develop and review credit risk models using Excel-based rating agency frameworks, Python and statistical techniques including logistic regression, decision trees and ensemble methods. - Build and enhance IFRS 9 expected credit loss models, including ...
... navigate their next in their digital transformation journey this is the place for you Technology AI Generative AI Generative AI for Data Analytics Technology Full stack Net Full stack Technology Reactive Programming react JS A b i l i t y t o w r i t e t e s t c a s e s a n d s c e n a r i o s b a s e d o n t h e s p e ...
... AI, automation, and emerging technologies, with an ability to identify practical business applications. Desirable Skills · Exposure to Tableau, Power BI, SQL, Python, Power Automate, or similar technologies. · Experience using AI tools such as Claude, Microsoft Copilot, or comparable platforms. · Demonstrated track record ...
... high-performing team. 12+ years of professional software development experience, with a proven track record of leading complex, multi-quarter initiatives. - Python (backend services, APIs), React/TypeScript (frontend), and AWS cloud infrastructure. - Deep, hands-on fluency with modern AI development tools (AI coding assistants, ...