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Foundry Machine Operator Jobs in New York (NOW HIRING)

Adecco

Investment Casting Operator I

Fair Lawn, NJ · On-site

$23.64/hr

This role is responsible for performing basic production, assembly, inspection, and machine ... Minimum of 6 months of experience in a foundry environment , preferably in cutoff, snagging, or ...

Belmont Metals

Manufacturing Laborer

Brooklyn, NY · On-site

$16 - $20.75/hr

... * Assist operators, technicians, and other team members to ensure efficient production flow ... Exposure to high temperatures, dust, fumes, and loud machinery typical of metal foundry operations.

Belmont Metals

Manufacturing Laborer

Brooklyn, NY · On-site

$16.25 - $21/hr

... * Assist operators, technicians, and other team members to ensure efficient production flow ... Exposure to high temperatures, dust, fumes, and loud machinery typical of metal foundry operations.

Belmont Metals

Manufacturing Laborer

Brooklyn, NY · On-site

$16 - $20.75/hr

... * Assist operators, technicians, and other team members to ensure efficient production flow ... Exposure to high temperatures, dust, fumes, and loud machinery typical of metal foundry operations.

ZS

Strategy Insights & Planning Consultant

Manhattan, NY · On-site

$160K - $177K/yr

... Aera, Lyric, Palantir Foundry, and similar platforms. * Develop recommendations and client ... operating models, and analytics. * Support advanced planning use cases such as machine learning ...

THOMSON REUTERS

Principal Scientist- Search

New York, NY · Hybrid

You hold a PhD in Computer Science, AI, Machine Learning, NLP, Information Retrieval, or a related ... Experience deploying and operating AI solutions using Azure ML, Azure AI Foundry, AWS SageMaker, or ...

Thomson Reuters

Principal Scientist- Search

New York, NY · On-site

You hold a PhD in Computer Science, AI, Machine Learning, NLP, Information Retrieval, or a related ... Experience deploying and operating AI solutions using Azure ML, Azure AI Foundry, AWS SageMaker, or ...

BlackRock

AI Infrastructure Engineer

New York, NY · On-site

$117K - $154K/yr

... operators to run the platform at scale. Our teams sit at the center of how Aladdin evolves ... Experience supporting AI and machine learning workloads, with exposure to managed compute for model ...

Accenture

AI and Data Architect Manager

New York, NY · On-site

... Azure AI Foundry, and Azure Machine Learning * 2+ years of experience developing or deploying ... Strong understanding of data science and machine learning principles * Experience operating across ...

BlackRock, Inc.

AI Infrastructure Engineer

New York, NY · On-site

$117K - $154K/yr

... operators to run the platform at scale. Our teams sit at the center of how Aladdin evolves ... Experience supporting AI and machine learning workloads, with exposure to managed compute for model ...

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Foundry Machine Operator information

What is a foundry machine operator?

Foundry machine operators are skilled workers who operate and monitor machinery used in metal foundries to cast metal parts and products. They prepare molds, pour molten metal, and ensure that the finished products meet quality and safety standards. These operators also maintain equipment, troubleshoot issues, and adhere to safety protocols to prevent accidents. Their work is essential in industries such as automotive, construction, and manufacturing, where metal components are frequently used.

What are the key skills and qualifications needed to thrive as a foundry machine operator?

To thrive as a Foundry Machine Operator, you need knowledge of metal casting processes, attention to detail, and a high school diploma or equivalent. Familiarity with foundry machinery, tools for measuring and inspecting castings, and adherence to safety standards are essential, with optional certifications such as OSHA training being advantageous. Strong problem-solving, teamwork, and communication skills help operators adapt to changing production needs and maintain safety. These skills ensure efficient, safe, and high-quality production in demanding industrial environments.

What are some typical challenges faced by foundry machine operators, and how can they be managed effectively?

Foundry Machine Operators often encounter challenges such as working in high-temperature environments, managing heavy equipment, and ensuring strict adherence to safety protocols. To address these, operators receive thorough safety training, use personal protective equipment, and follow well-defined operational procedures. Effective communication with team members and supervisors also helps in quickly resolving equipment issues or production bottlenecks. Staying organized and proactive in equipment maintenance can further minimize downtime and enhance workplace safety.

What is the difference between Foundry Machine Operator vs Foundry Mold Maker?

AspectFoundry Machine OperatorFoundry Mold Maker
CredentialsHigh school diploma, on-the-job trainingHigh school diploma, specialized training or apprenticeship
Work EnvironmentFactories, foundries, manufacturing plantsWorkshops, foundries, manufacturing facilities
Job FocusOperating and maintaining casting machinesDesigning and creating molds for casting
Common UsageManufacturing industries, metal castingFoundries, metal casting facilities

The main difference is that Foundry Machine Operators focus on operating casting equipment, while Foundry Mold Makers specialize in creating molds used in casting processes. Both roles are essential in metal manufacturing but involve different skills and responsibilities.

What cities in New York are hiring for Foundry Machine Operator jobs?

Cities in New York with the most Foundry Machine Operator job openings:

Platform Engineer AI Automation Platform

Jersey City, NJ • Remote

iShare Inc
See more jobs at iShare Incexternal

$65/hr

Full-time

Re-posted 17 days ago

Job description

Job Title: Platform Engineer – AI & Automation Platform
Location: Remote/onsite, USA
Experience Required: 8+ years
We are seeking a highly technical Platform Engineer focused on AI, automation, and platform enablement to help scale a governed, AI-accelerated engineering ecosystem across Power Platform, Dynamics 365, Azure, AWS, and enterprise digital applications. This role is responsible for building, operating, and advancing the shared platform capabilities that product teams depend on to deliver secure, scalable, AI-enabled solutions. The engineer will help drive platform reliability, AI enablement, automation, CI/CD modernization, observability, and developer acceleration across the SDLC. The ideal candidate combines strong platform engineering fundamentals with hands-on experience in automation, AI-assisted development workflows, cloud platforms, APIs, integrations, and enterprise delivery tooling.
Key Responsibilities
* Build, manage, and evolve shared platform engineering capabilities across Power Platform, Dynamics 365 F&O, Azure, AWS, APIs, integrations, and digital applications
* Support and operationalize AI-enabled development workflows including local agents, Copilot-assisted engineering, orchestration services, and automated SDLC pipelines
* Design and maintain CI/CD pipelines, deployment automation, environment strategies, release controls, and platform governance standards
* Implement reusable platform services, automation frameworks, connectors, templates, shared components, and developer acceleration tooling
* Support AI and automation lifecycle capabilities including Power Platform Copilot Studio, M365 Copilot integrations, Azure AI Foundry, machine learning workflows, and agent orchestration patterns
* Build and support platform observability including telemetry, logging, monitoring, alerting, tracing, and operational dashboards
* Support automated quality engineering practices including pipeline validation, regression execution, automated testing integration, and release gating
* Implement and operationalize platform security controls including RBAC, managed identities, API security, secrets management, DLP policies, audit logging, and environment governance
* Partner with Enterprise Architecture, Cybersecurity, Cloud Engineering, and Data & AI teams to align implementations with enterprise standards and governance requirements
* Support AI governance practices including behavioral monitoring, agent lifecycle controls, Responsible AI enforcement, risk evaluation, and operational review processes
* Assist product and engineering teams with platform onboarding, automation adoption, environment provisioning, troubleshooting, and platform optimization
* Drive platform reliability, resiliency, scalability, and operational excellence across shared engineering services
* Contribute to developer experience improvements through automation, self-service tooling, standardized patterns, and reusable engineering assets
* Support cost optimization, performance tuning, and operational efficiency initiatives across cloud and platform services
Required Qualifications
* 8+ years of experience in Platform Engineering, Cloud Engineering, DevOps, Automation Engineering, or related enterprise engineering roles
* Hands-on experience with Microsoft Power Platform, Dataverse, Dynamics 365 F&O, Azure services, and enterprise integrations
* Experience building and supporting CI/CD pipelines using Azure DevOps, GitHub, or similar platforms
* Experience with infrastructure automation, deployment scripting, environment management, and configuration management
* Strong understanding of APIs, integrations, authentication, OAuth, REST services, and enterprise integration patterns
* Experience supporting cloud-native and hybrid architectures across Azure and AWS
* Experience with observability tooling, monitoring platforms, telemetry pipelines, and operational diagnostics
* Experience with AI-enabled engineering workflows, Copilot technologies, LLM integrations, automation tooling, or agentic workflows
* Strong understanding of platform security, governance, operational controls, and enterprise engineering standards
* Experience supporting agile product delivery teams in large enterprise environments
* Strong troubleshooting, automation, and systems thinking capabilities
Preferred Qualifications

* Experience with Power Platform Copilot Studio, Azure AI Foundry, Azure OpenAI, or enterprise AI enablement platforms
* Experience supporting AI orchestration, MCP-based integration patterns, automation agents, or AI-assisted SDLC workflows
* Experience with automated testing frameworks, Playwright, pipeline-based quality enforcement, or test automation platforms
* Experience with containerization, serverless architectures, and modern cloud platform services
* Experience with Application Insights, Log Analytics, Power BI operational reporting, or enterprise telemetry platforms
* Familiarity with SOX controls, audit readiness, operational governance, and regulated enterprise environments
Core Technologies
* Microsoft Power Platform
* Dataverse
* Dynamics 365 Finance & Operations
* Azure Services
* AWS Services
* Azure DevOps
* GitHub
* REST APIs & Integrations
* Power Platform Copilot Studio
* M365 Copilot
* Azure AI Foundry
* CI/CD & Automation Tooling
* Observability & Monitoring Platforms
* Automated Testing & Quality Engineering Tooling

This is a remote position.