Automatic Data Processing jobs

Artificial Intelligence Engineer Bengaluru, Karnataka, India

Class 3 Driver- Automatic Side Load Edmonton, Alberta, Canada Embrace the opportunity to become an Automatic Side Load Truck Driver in Edmonton! Operate state-of-the-art vehicles, ensure safe waste and recycling collection, and enjoy a stable, rewarding career with great pay and benefits. If you have a valid Class 3F/3A/DZ/AZ license and 2+ years of local driving experience, we want to hear from you!

Data Engineer 2 Locations posted: Posted 30+ Days Ago

Controls Technician, Data Center Capacity Delivery, Amazon Data Services, Inc New Albany, Ohio, USA As a member of the Global Controls Team, you will collaborate with highly motivated operators, engineers and technicians in the data center industry to maintain and optimize critical infrastructure systems. You will be responsible for troubleshooting and maintaining the Building Management System (BMS) and Electrical Power Monitoring System (EPMS) while developing new processes and standards that drive innovation in the controls space. AWS data centers utilize sophisticated industrial control systems to automatically operate mechanical equipment, maintaining optimal temperature and pressure conditions throughout the facilities. These systems integrate and monitor multiple critical components, including generators, uninterruptible power sources, diesel generators, electrical switchgear, power distribution units, variable frequency drives, automatic and static transfer switches, air-cooled and water-cooled chillers, pumps, cooling towers, heat exchangers, Computer Room Air Handlers (CRAHs), and air economizers. Within this industrial control system infrastructure, the BMS serves as the primary control platform for all mechanical systems within the data center, while the EPMS functions as the primary monitoring platform for all electrical systems. This position offers the opportunity to work with cutting-edge technology in mission-critical environments while contributing to the reliability and efficiency of AWS's global infrastructure. Key job responsibilities Primarily work in and support multiple data centers by deploying, servicing, and upgrading BMS and EPMS systems. Mentor and train Facilities team members on the operation and control of BMS and EPMS systems. Audit, maintain, and manage computer enterprise asset management systems for BMS and

Data Warehouse Engineer San Francisco About the Role Together AI is building high-performance inference compute and the software platform around it. We're looking for an early-career Data Warehouse Engineer with strong fundamentals and high growth potential to grow into a technical lead over time. You'll contribute to designing and operating our data warehouse, ETL pipelines and orchestration, work on core data models and metrics, and help raise the bar on data quality and governance across the org - with mentorship and support from experienced engineers. Requirements - 0-4 years of professional experience (or strong internships/projects) working with data warehouses, pipelines, or analytics engineering. - Solid SQL fundamentals - you're comfortable writing queries and have some exposure to window functions or dimensional modeling concepts. - Some hands-on experience with dbt or Airflow, or strong eagerness to learn - coursework and personal projects count. - Basic Python for scripting and data tooling; any exposure to Spark (PySpark/SQL) is a plus. - Familiarity with data modeling concepts like SCD2 or star schemas - even if only from coursework. - Good communication skills: you can ask clarifying questions, explain your reasoning, and work with stakeholders to understand their needs. - High standards for data quality, reliability, and maintainability - you care about getting things right. Responsibilities - Contribute to building and maintaining a medallion/curated data warehouse stack (bronze/silver/gold) for product, usage, billing, and operational data. - Build and maintain Airflow orchestrated pipelines and dbt transformation projects (modular, tested, documented). - Help design analytics-ready models:

Senior Data Engineers Chicago (Green St), IL posted: Posted Today

CDL B Driver (Automatic Sideload) Eden Prairie, MN, USA posted: Posted 10 Days Ago

AI Lab - Junior Machine Learning Engineer Sant Cugat del Valles, Barcelona, Spain

Automatic Door Service Technician – Stanley Access Technologies, Pennsylvania Remote, Pennsylvania posted: Posted 30+ Days Ago

Ceramic Blade Maker Auburn, Massachusetts Overview This position will set up and operate a precision automatic ceramic grinding machine. They will produce items from various materials to blue print, sketches and work instructions. They will perform all blade processing operations in ceramic and other blade departments. Responsibilities Exemplary Duties/Responsibilities: Work independently in planning, layout, setting up and operating the precision automatic ceramic blade grinder. Responsible for producing product with specification and applicable procedures/work instructions. Perform basic machine maintenance. Perform all processing operations in ceramic and other blade departments, including but not limited to beveling, honing, grinding, punching, cutoff, packaging and assembly of product. Participate in development of processes to enable production of unique and undocumented processes. Maintain a clean, organized and efficient work area. Fully responsible for the quality of their own work. Comply with all company safety policies, procedures and practices. Must be a team player and participate in efforts to achieve departmental and company goals. Work overtime as required. Perform other duties as assigned. *** This position includes the opportunity to travel to Germany with other company employees to receive hands on training from the original equipment manufacturer on newly purchased equipment. This company paid trip will provide valuable experience and technical knowledge essential to the role*** Who is Kadant Solutions Division? Kadant Solutions, based in Auburn, Massachusetts, develops, manufactures, and markets a wide range of doctoring, cleaning, filtration, and forming systems and related consumables used in process industries worldwide including construction roofing materials, food processing, metals processing,

Machine Learning Engineer Bogotá,Colombia

Data Center Controls Technician, North Carolina Charlotte, North Carolina, USA As a member of the Global Controls Team, you will collaborate with highly motivated operators, engineers and technicians in the data center industry to maintain and optimize critical infrastructure systems. You will be responsible for troubleshooting and maintaining the Building Management System (BMS) and Electrical Power Monitoring System (EPMS) while developing new processes and standards that drive innovation in the controls space. AWS data centers utilize sophisticated industrial control systems to automatically operate mechanical equipment, maintaining optimal temperature and pressure conditions throughout the facilities. These systems integrate and monitor multiple critical components, including generators, uninterruptible power sources, diesel generators, electrical switchgear, power distribution units, variable frequency drives, automatic and static transfer switches, air-cooled and water-cooled chillers, pumps, cooling towers, heat exchangers, Computer Room Air Handlers (CRAHs), and air economizers. Within this industrial control system infrastructure, the BMS serves as the primary control platform for all mechanical systems within the data center, while the EPMS functions as the primary monitoring platform for all electrical systems. This position offers the opportunity to work with industry leading technology in mission-critical environments while contributing to the reliability and efficiency of AWS's global infrastructure. Key job responsibilities * Primarily work in and support multiple data centers by deploying, servicing, and upgrading BMS and EPMS systems. * Mentor and train Facilities team members on the operation and control of BMS and EPMS systems. * Audit, maintain, and manage computer enterprise asset management systems for BMS and

Data Engineer Cyprus- Limassol (Amdocs Site)

Principal Data Scientist 2 Locations posted: Posted 17 Days Ago

Sales Development Representative San Francisco | OnSite SDR @ AUTOMAT: Automat AI is hiring a Sales Development Representative to join our fast-growing team. As an SDR, you will help generate new business and expand current customer accounts. You'll be the voice of Automat to potential customers, contributing to our mission of making the simplest, most affordable tool for businesses to automate their work. Traditional automation software is slow and expensive, so we built Automat. We use AI to make building automations 10X faster and 1/10th the price. It lets companies automate their work without a massive team or budget. WE HAVE THE PLEASURE OF COLLABORATING WITH A WIDE VARIETY OF COMPANIES, INCLUDING LARGE ENTERPRISES AND SMALL BUSINESSES, TO CREATE AUTOMATIONS. THIS PRESENTS AN EXCITING OPPORTUNITY FOR INDIVIDUALS WITH AN ENTREPRENEURIAL SPIRIT WHO THRIVE ON INTERACTING WITH CUSTOMERS AND ASPIRE TO MAKE A MEANINGFUL IMPACT AT A RAPIDLY GROWING STARTUP. WHAT YOU'LL DO: - Drive full sales cycle, including prospecting, follow-ups, and closing deals. - Represent Automat professionally and develop relationships with existing and new clients. - Conduct sales presentations to cultivate customer relationships and drive long-term account growth. - Plan and execute sales strategy, provide forward-looking analysis, and contribute to document creation. - Provide feedback on customer/prospect needs, industry trends, and market intelligence. - Achieve sales quota and maintain a healthy pipeline through cold emailing and calling target accounts. WHO YOU ARE: - Have closed deals and ran full sales cycles - 1+ years of outbound SDR/BDR experience - 1+

Architect, Applied Scientist (Reasoning Platform, AI Lead) United States, US Invent, implement and deploy state-of-the-art machine learning and/or specific domain industry algorithms and systems. Build prototypes and explore conceptually new solutions. Work collaboratively with science, engineering, and product teams to identify customer needs in order to create and implement solutions, promote innovation and drive model implementations. Applies data science capabilities and research findings to create and implement solutions to scale. Responsible for developing new intelligence around core products and services through applied research on behalf of our customers. Develops models, prototypes, and experiments that pave the way for innovative products and services. Build cloud services that work out of the box for enterprises, e.g. decision support, anomaly detection, forecasting and recommendations), natural language processing (NLP), Natural Language Understanding (NLU),Time Series, Automatic Speech Recognition (ASR), Machine Learning (ML), and Computer Vision (CV). Design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. Conversant on ethical problems in consideration of sciences. Drives Data & AI Platform applied science execution. Leads integration, alignment, and execution of strategies and plans at the highest level. Provides scientific and technical leadership and guidance to implement research direction to production. Works on issues that impact design/selling success or address future concepts, products or technologies. Focus on review, design, technical vision, and science practices for the entire organization. Influence spans across multiple lines of businesses. Work with engineering, product management and senior management to set direction for Oracle's AI efforts.

Data Engineering Lima, Peru posted: Posted Today

Opérateur de ligne d'ensachage automatisé / Automatic Bagging Operator St Bonaventure, QC posted: Posted 30+ Days Ago

Data Scientist, Performance and Reliability San Francisco, CA, United States, New York Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truth-seeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code. About the role Cursor is building the best way to develop software with AI. As an early member of our data science team, you'll help define the way the company uses data to make decisions and deliver a high quality experience to millions of users across billions of user<>AI interactions. What you'll do - Design and operationalize metrics that measure the stability of product surfaces and the agent harness - Build a measurement and rollout framework to prevent, detect, and root cause performance regressions - Partner with engineers on data tooling that enables self-serve analysis - Identify performance and reliability experiences that disproportionately cause user frustration You may be a fit if - You have 5+ years of experience as a data scientist at a high growth company - You've operationalized a north star performance metric across a pillar - You have experience building and operationalizing data tooling for non-data users - You enjoy working directly with engineering on measurement and strategy - You're experienced in experimentation and causal inference - You're happy to work across

Full Stack Data Engineer PUNE, Mahārāshtra, India

Data Engineer San Francisco THE ROLE We're seeking a Data Engineer to transform large-scale geospatial datasets into structured, reliable, and accessible formats that power Mach9's ML and product pipelines. You'll work with high-volume data sources - laser scan point clouds, imagery, and a long tail of geospatial formats - and own the systems that get them ingested, standardized, stored, and made available for training, perception, and production use in a consistent and efficient way. This role sits at the front of everything we do: our models are only as good as the data feeding them, and you'll be the one making that data trustworthy at scale. RESPONSIBILITIES - Develop and maintain scalable, reproducible workflows for ingesting and processing large volumes of point cloud, imagery, and geospatial data. - Convert datasets from various sensor providers into Mach9's standardized internal formats. - Build CI/CD pipelines and automated checks that guarantee the correctness and consistency of data pipelines, including regression detection on dataset processing. - Optimize processing performance, query speed, and storage efficiency across large geospatial datasets. - Work closely with the customer success team to efficiently resolve issues and unblock customer projects. - Build and maintain agentic harness for automated dataset triage and code patching. Automatically propose or apply fixes, and escalate when human judgment is needed. - Work closely with ML and product teams to make data readily usable for training, inference and visualization. - Work closely with customers and data-provider partners to facilitate data integration (with occasional travels). - Puzzle-hunting:

Controls Technician, DCC Communities Aldie, Virginia, USA As a member of the Global Controls Team, you will collaborate with highly motivated operators, engineers and technicians in the data center industry to maintain and optimize critical infrastructure systems. You will be responsible for troubleshooting and maintaining the Building Management System (BMS) and Electrical Power Monitoring System (EPMS) while developing new processes and standards that drive innovation in the controls space. AWS data centers utilize sophisticated industrial control systems to automatically operate mechanical equipment, maintaining optimal temperature and pressure conditions throughout the facilities. These systems integrate and monitor multiple critical components, including generators, uninterruptible power sources, diesel generators, electrical switchgear, power distribution units, variable frequency drives, automatic and static transfer switches, air-cooled and water-cooled chillers, pumps, cooling towers, heat exchangers, Computer Room Air Handlers (CRAHs), and air economizers. Within this industrial control system infrastructure, the BMS serves as the primary control platform for all mechanical systems within the data center, while the EPMS functions as the primary monitoring platform for all electrical systems. This position offers the opportunity to work with cutting-edge technology in mission-critical environments while contributing to the reliability and efficiency of AWS's global infrastructure. Key job responsibilities Primarily work in and support multiple data centers by deploying, servicing, and upgrading BMS and EPMS systems. Mentor and train Facilities team members on the operation and control of BMS and EPMS systems. Manage small to medium-sized projects and programs. Perform point-to-point checkouts between field devices and controllers. Perform first-line diagnostics, troubleshooting,

Sr. Engineer - Machine Learning Maharashtra, IN posted: Posted 30+ Days Ago

Analytics Engineer — Data Warehouse San Francisco About the Role Together AI is building high-performance inference compute and the software platform around it. We're looking for an early-career Analytics Engineer with strong fundamentals and high growth potential to grow into a technical lead over time. You'll contribute to designing and operating our data warehouse, ETL pipelines and orchestration, work on core data models and metrics, and help raise the bar on data quality and governance across the org - with mentorship and support from experienced engineers. Requirements - 0-4 years of professional experience (or strong internships/projects) working with data warehouses, pipelines, or analytics engineering. - Solid SQL fundamentals - you're comfortable writing queries and have some exposure to window functions or dimensional modeling concepts. - Some hands-on experience with dbt or Airflow, or strong eagerness to learn - coursework and personal projects count. - Basic Python for scripting and data tooling; any exposure to Spark (PySpark/SQL) is a plus. - Familiarity with data modeling concepts like SCD2 or star schemas - even if only from coursework. - Good communication skills: you can ask clarifying questions, explain your reasoning, and work with stakeholders to understand their needs. - High standards for data quality, reliability, and maintainability - you care about getting things right. Responsibilities - Contribute to building and maintaining a medallion/curated data warehouse stack (bronze/silver/gold) for product, usage, billing, and operational data. - Build and maintain Airflow orchestrated pipelines and dbt transformation projects (modular, tested, documented). - Help design analytics-ready