Colab Python Jobs in Usa

Company – Our client is a leading cybersecurity services provider, trusted by some of the most recognized brands in the U.S. They partner closely with Fortune 500 enterprises to deliver cutting-edge identity, cloud, and security solutions. Known for their technical excellence and white-glove client service, they are consistently recognized as one of the top MSSPs in North America.

Job Title – Senior Identity (Ping) Engineer

Location – Tysons, Virginia (Hybrid – onsite 3 days per week)

Role Type – 6-Month Contract (1,040 hours)

Must Have Skills:

• 7+ years of Identity & Access Management (IAM) engineering and architecture experience
• 5+ years of hands-on experience with the full Ping Identity suite across enterprise and/or CIAM use cases
• Deep expertise with PingFederate, PingID, Ping Directory, and PingOne (Enterprise + Customer)
• Proven experience designing and implementing modern passwordless authentication (FIDO2/WebAuthn/Passkeys) at enterprise scale
• Expert-level understanding of IAM protocols (SAML, OAuth 2.0, OIDC, SCIM, LDAP) and demonstrated ability to lead large-scale Ping deployments

Responsibilities and Job Details:

• Serve as the Ping Identity SME and platform owner across a large financial services enterprise
• Architect, design, deploy, and scale Ping Identity solutions for both workforce SSO and CIAM use cases
• Perform hands-on configuration across the Ping suite supporting on-prem, private cloud, and SaaS (PingOne) architectures
• Design and implement identity workflows using PingOne DaVinci or similar orchestration tools
• Lead enterprise-wide rollout of passwordless authentication (FIDO2/WebAuthn/Passkeys)
• Provide advanced troubleshooting and root cause analysis across Ping environments
• Drive integration with Azure Identity (Entra ID) and other IdP/IdM technologies
• Manage multiple concurrent IAM projects, meeting key milestones and delivering required documentation
• Communicate effectively with technical and executive stakeholders
• Scripting skills in Python, PowerShell, or Groovy are highly desired for automation
• Candidate must commit exclusively to this contract for its duration

Job Title: Sr Software Engineer/ Embedded software Engineer , Information Security (Open Source Compliance)

Location: Dallas, TX

Duration: Long-term

Note : onsite role (five days a week)

We are seeking a Staff-level engineer who thrives on autonomy, engineering latitude, and self-determination—someone who relishes the freedom to architect solutions, drive compliance, and innovate in a fast-moving environment. You’ll join an incredibly dynamic and highly competent Security team, where your expertise will be valued and your voice heard.

The ideal candidate brings at least eight years of hands-on embedded software development experience, with a proven track record of transitioning into security-focused roles. You’ll demonstrate mastery in open-source license compliance, CI/CD automation, vulnerability management, and technical communication—showcasing both self-reliance and the ability to lead initiatives from concept to production. If you’re ready to join a team that sets the standard in Security and empowers its members to excel, this is your chance to make your mark.

Required Skills:

• Experience: 8+ years in embedded software development (Linux kernel, device/firmware), plus 2+ years in a security‑focused role (DevSecOps/AppSec/Compliance).
• Licensing & Policy: Deep, practical familiarity with GPL/LGPL/MPL/MIT/Apache requirements (attribution, source publication, relinking, derivative‑work analysis) and enforcement throughout the SDLC.
• Languages & Stacks: Strong in C, C++, C#; proficient in Python/JavaScript for automation/tooling; confident with XML/JSON/YAML for configs and SBOMs.
• Build, Packaging & Artifacts: Proficient with CMake, Clang/LLVM, cross‑compilers; package with Conan/Snapcraft; govern artifacts in JFrog Artifactory with risk analysis via JFrog Xray.
• CI/CD & GitOps: Hands‑on with GitHub Actions / GitLab CI and GitOps practices (GitHub/GitLab) for policy‑as‑code and environment orchestration.
• Testing & Vulnerability Triage: Skilled at integrating and interpreting SAST/DAST/IAST results; practical experience with CodeQL, SonarQube, ScanCode, and SBOM tooling (SPDX/CycloneDX).
• Data & Communication: Able to build Power BI dashboards, write SQL, and translate complex technical topics into clear narratives for technical and non-technical audiences.
• Documentation & Training: Exceptional writing quality for SOPs, Working Instructions, and public distribution artifacts; experienced trainer for OSS/GRC topics.
• Collaboration: Comfortable influencing cross‑functional roadmaps and mediating license/security trade‑offs with engineering, Legal, and external partners.
• Education: Bachelor’s or Master’s in Computer Engineering, Electrical Engineering, Computer Science, or closely related field. Security certifications (e.g., CISSP, CSSLP) are a plus.

Bid Analyst

Hybrid: Onsite 3 days per week, flexible start / finish times

About the Opportunity

This high-visibility position sits at the heart of our vendor selection process, transforming complex cost data into clear business recommendations that fuel margin growth and operational efficiency. If you enjoy turning numbers into negotiation power - and want a role that will accelerate your career path in supply-chain finance - read on.

Why Join Us

• Direct line of sight to senior leadership and decision-makers - your insights will shape multimillion-dollar sourcing choices.
• Competitive base salary, annual performance bonus, robust benefits (medical, dental, vision, 401k with match), and commuter perks.
• Career-development roadmap with budget for certifications (APICS, CPSM, SQL, or Python) and industry conferences.
• Collaborative culture that values innovation, data-driven thinking, and continuous improvement.

What You’ll Do

• Team with cross-functional stakeholders (finance, merchandising, logistics) to gather data and craft comprehensive proposal packages for prospective suppliers.
• Evaluate product and freight cost drivers, total landed cost scenarios, and margin impact to benchmark competing bids.
• Assist strategic-sourcing leadership during price and contract negotiations, providing real-time financial insights.
• Model alternative sourcing and distribution strategies to recommend the most cost-effective approach under varying demand and inventory scenarios.
• Develop ad-hoc financial models and dashboards that surface spend trends, savings opportunities, and risk indicators for leadership review.
• Track realized savings and supply-chain KPIs following award decisions, highlighting areas for continuous improvement.
• Own the full analytics life-cycle: data wrangling, exploratory and predictive modeling, and visualization for executive-level storytelling.

Candidate Profile

• 1 + years of experience in financial, procurement, or data-analytics roles within distribution, CPG, retail, or related industries.
• Bachelor’s degree in business, Finance, Economics, Supply-Chain Management, Accounting, or a quantitative field (or equivalent experience).
• Advanced Excel skills (pivot tables, Power Query, VBA a plus) and solid PowerPoint storytelling chops; familiarity with BI tools such as Power BI or Tableau preferred.
• Working knowledge of SQL or similar query languages and a comfort level with large data sets.
• Exceptional attention to detail, problem-solving mindset, and ability to manage multiple time-sensitive projects independently.
• Strong written and verbal communication skills - able to distill complex analytics into clear, persuasive business language.

About Blue Signal:

Blue Signal is an award-winning, executive search firm specializing in various specialties. Our recruiters have a proven track record of placing top-tier talent across industry verticals, with deep expertise in numerous professional services. Learn more at /46Gs4yS

The Presales Solution Architect (DPE & Data focus) is a critical, customer-facing role responsible for demonstrating the value of our solutions to existing and prospective clients. The Solution Architect acts as a technical expert, working alongside the Randstad Industry Group Sales and Account and Delivery Leadership teams to understand customer needs, design technical solutions, develop cost estimations and present these solutions in a clear, persuasive manner. The ideal candidate is a hands-on technical professional with excellent communication and presentation skills, who can bridge the gap between business requirements and technical capabilities.

What you get to do:

• Present Randstad Digital's solutions and services to clients
• Collaborate with the sales team to conduct in-depth discovery calls and meetings with prospective customers
• Evaluate client Request for Proposal/Information (RFP/RFI) and match against Randstad Digital's core capabilities and industry service provider competitive landscape
• Provide applicable input for client RFP response documents according to RFP submission timelines
• Develop technical proposals, solution architectures, and SOWs (Statements of Work) that clearly outline the proposed solution, its components, and the value
• Collaborate with Risk Management, Legal, and Contract Management teams on client agreements, Statements of Work, and proposals
• Lead or participate in onsite or remote down selection meetings with clients
• Answer technical questions and address concerns from customers, stakeholders, and C-level executives
• Participate in service transition meetings and conduct proper handoff from Sales to Client Delivery teams
• Contribute to the creation of technical content, such as white papers, case studies or project briefs
• Provide thought leadership on technology trends that are relevant to Randstad Digital's clients
• Assist in maturing and developing Randstad Digital service offerings
• Supporting company culture and ensuring timely communication up and down the organization

What you need to bring:

• Minimum of 5 years of experience in a Consulting or Professional Services Organization
• Previous experience developing complex solutions and managed services for clients
• Proven track record of cost estimation and extensive knowledge of pricing methodologies
• 5+ years of experience in a technical role, pre-sales or solution architecture capacity
• Bachelor's degree in Computer Science, Information Technology, or a related technical field preferred
• Proven history of business development success
• Experience presenting to senior management, including C suite Executives

Skills and technical requirements:

• Deep understanding of modern application design, including microservices, serverless architectures, and twelve-factor app methodology across hybrid and multi-cloud environments
• Proven experience designing and implementing scalable solutions using major cloud-native services (e.g., AWS Lambda, Azure Functions, Google Cloud Run) and modern web frameworks
• Expertise in automating the software lifecycle using CI/CD tools (GitHub Actions, Jenkins) and data orchestration tools to ensure seamless code and data deployments
• Strong background in solution design and proposal development for Custom Application Development and Legacy Modernization engagements
• Strong background in designing proposals for Application Managed Services
• Expertise in developing proposals for data engineering services, including master data management (MDM), data quality frameworks, and analytics readiness
• Knowledge in CI/CD pipelines, containerization and orchestration technologies (e.g., Docker, Kubernetes)
• Experience in architecting solutions across a variety of technical stacks (e.g., Java/Spring, Node.js, Python, .NET Core) and frontend technologies (React, Angular, Vue)

*The role focuses on digital product engineering and data, supporting all North American industry groups and requires collaboration with sales and client teams to define solutions, pricing, and proposals. Ideal candidates will have experience with global system integrators.

Salary Range: $118,500.00 - $189,600.00

About Us:

Loloi Rugs is a leading textile brand that designs and crafts rugs, pillows, and throws for the thoughtfully layered home. Family-owned and led since 2004, Loloi is growing more quickly than ever. To date, we’ve expanded our diverse team to hundreds of employees, invested in multiple distribution facilities, introduced thousands of products, and earned the respect and business of retailers and designers worldwide. A testament to our products and our team, Loloi has earned the ARTS Award for “Best Rug Manufacturer” in 2010, 2011, 2015, 2016, 2018, 2023, and 2025.

Security Advisory: Beware of Frauds

Protect yourself from potential fraud and verify the authenticity of any job offer you receive from Loloi. Rest assured that we never request payment or demand any sensitive personal information, such as bank details or social security numbers, at any stage of the recruiting process. To ensure genuine communication, our recruiters will solely reach out to applicants using an @ email address. Your security is of paramount importance to us at Loloi, and we are committed to maintaining a safe and trustworthy hiring experience for all candidates.

We are building the data backbone across Loloi Rugs and Joon Loloi. You won’t just move data; you’ll architect a Lakehouse environment using Microsoft Fabric to power our next generation of Analytics & AI.

As a Senior Data Platform Engineer, you will serve as a cornerstone of our small but high-impact data organization. Reporting to the Director of Data Platform Engineering, you will play a dual role: acting as a hands-on technical expert within the Azure cloud-native data ecosystem while also enabling analytics, reporting, and AI/ML initiatives across the business. You will bridge the gap between raw data ingestion and business-ready intelligence by building reliable, scalable, and governed data foundations. If you thrive in modern data platforms, enjoy solving complex architectural challenges, and take pride in production-grade engineering, this role is for you.

Responsibilities

Technical Execution

• Enterprise Fabric Management: Lead the implementation, optimization, and operation of Microsoft Fabric artifacts, including Lakehouses, Warehouses, and Notebooks, within a production environment. Ensure performance, scalability, and cost efficiency across capacities and OneLake.
• Pipeline Engineering: Design, build, and monitor end-to-end ELT/ETL workflows using Azure Data Factory and Fabric Data Factory. Integrate new data sources reliably while maintaining data quality, observability, and fault tolerance.
• Medallion Architecture: Refine, scale, and enforce Medallion Architecture patterns (Bronze, Silver, Gold) to ensure data quality, lineage, and performance at every stage of the data lifecycle.
• Semantic Layer Ownership: Design and maintain high-performance Fabric Semantic Models that translate complex data structures into intuitive, analytics-ready business layers.

Leadership & Operations

• Production Reliability: Serve as a primary steward of the production data environment. Proactively monitor system health, resolve incidents, and optimize SQL and Spark workloads to ensure platform stability and performance.
• Platform Standards: Partner with the Director of Data Platform Engineering to define architectural patterns, tooling standards, and operational processes that scale with the organization.
• DevOps & Governance: Drive engineering excellence through Azure DevOps by managing CI/CD pipelines, Git-based source control, and automated testing for data products. Adhere to development standards and deployment best practices.

Stakeholder Collaboration

• Cross-Functional Enablement: Collaborate closely with analytics, reporting, and AI/ML teams to ensure data products meet downstream requirements for Ecommerce, ERP, and Operations (etc.) use cases.
• Technical Communication: Translate technical architecture and platform decisions into clear, accessible documentation and explanations for non-technical stakeholders.

Experience, Skills, & Ability Requirements

• 5–7 years of experience in Data Engineering with a primary focus on the Azure ecosystem.
• Deep expertise in Azure-native tools, including Azure Data Factory (ADF), ADLS Gen2, Microsoft Fabric, Synapse, and Azure SQL.
• Strong SQL skills and proficiency in Python, including PySpark, for data transformation and optimization.
• Hands-on experience with Microsoft Fabric in a production environment, including OneLake concepts and capacity management.
• Strong understanding of data modeling concepts, including Star Schema design and semantic layer development using DAX.
• Experience using Azure DevOps for CI/CD, version control, and engineering workflow management.
• Excellent communication skills with the ability to explain complex technical concepts clearly and concisely.
• Experience supporting AI/ML initiatives by building feature-ready datasets or managing infrastructure for experimentation and deployment.
• Advanced proficiency in data modeling for analytics-ready and reporting-friendly datasets.
• Familiarity with data requirements for predictive modeling or advanced statistical analysis.
• Microsoft Certified: Azure Data Engineer Associate or Fabric Analytics Engineer Associate.

What We Offer

• Health, dental, and vision benefits
• Paid parental leave
• 401(k) with employer match
• A culture of meritocracy that fosters ongoing growth opportunities
• A stable, growing family-owned company that looks after its employees

Loloi Rugs does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits. We seek a diverse pool of applicants and consider all qualified candidates regardless of race, ancestry, color, gender identity or expression, sexual orientation, religion, national origin, citizenship, disability, Veteran status, marital status, or any other protected status. If you have a special need or disability that requires accommodation, please let us know.

Job Title: Senior Privileged Access Management (PAM) Engineer – Delinea SME

Location: Lake Forest, IL

Duration: 6 Months with possible extension

Competencies: 6-8+ years experience required

Delinea Suite

Cyber Security - IAM Professional Services

Hands on technical skills on Delinea is non-negotiable.

The customer will expect to candidate to demonstrate technical skills with use cases when the customer interviews.

Most submissions so far, either are analyst and not technical or they do not have technical experience in Delinea.

Along with Delinea, the candidate is expected to be a Subject Matter Expert (SME) for Secret Server and Privilege Management.

Essential Skills:

Senior IAM Engineer (Privileged Access Management) Focus Delinea Secret Server Privilege Manager Experience 58 Years Role Overview We are looking for a Senior PAM Engineer to lead the design, implementation, and management of our Privileged Access Management (PAM) ecosystem.

Your primary mission is to eliminate standing privileges and secure our most critical credentials using the Delinea suite.

You will act as the Subject Matter Expert (SME) for Secret Server and Privilege Manager, ensuring that our infrastructure, cloud environments, and DevOps pipelines are secured against credential theft.

Core Responsibilities:

Delinea Architecture Lead the end-to-end implementation and scaling of Delinea Secret Server (On-prem or Cloud) and Delinea Privilege Manager.

Secret Management Design and maintain secret heartbeat, remote password changing (RPC), and check-outcheck-in workflows for service accounts, local admins, and root accounts.

Secure Remote Access (SRA) Have a good understanding of VPN-less remote access solutions (e.g., Delinea PRA) to provide secure, audited entry points for internal admins and third-party vendors.

Azure PIM General understanding of Azure PIM.

Endpoint Privilege Management Configure policies in Delinea Privilege Manager to enforce Least Privilege, allowing users to perform administrative tasks without having full local admin rights.

Hybrid Integration Ensure interoperability between Delinea (for on-prem) and Azure PIM (for Cloud Control Plane access), creating a unified identity security posture.

Integration Automation Integrate Delinea with Active Directory (ADAzure AD), SIEM (Sentinel), and Ticket Systems (ServiceNow) to automate lifecycle management.

Discovery Onboarding Manage automated discovery rules to identify unmanaged accounts across Windows, Linux, and Network devices.

Session Management Configure and audit session recording and monitoring (Protocol HandlerSession Proxy) for high-risk administrative sessions.

Compliance Audit Generate high-level reporting for audit requirements and lead remediation efforts for privileged access findings.

Technical Requirements:

Experience 5 years of dedicated experience in Identity and Access Management (IAM), with at least 3 years specifically focused on Delinea (formerly Thycotic).

Delinea Mastery Deep technical knowledge of Secret Server (Distributed Engines, Secret Policies) and Privilege Manager (Application Control, Elevation).

Microsoft Entra ID Strong experience with Azure PIM, Conditional Access, and Managed Identities.

Infrastructure Skills Strong understanding of Windows Server administration, Active Directory, GPOs, and LinuxUnix environments.

Scripting Proficiency in PowerShell or Python to automate API calls to Delinea and bulk-import secrets. Proficiency in SQL to generate reports.

Lead Analyst

Austin, TX

Fully On-site

Starting at $150k Base Salary

About the Company

We’re partnering with a fast-paced technology company building advanced autonomous systems. The analytics team plays a critical role evaluating system behavior, integrating simulation and real-world data, and driving key decisions that impact safety and readiness. You’ll lead analytics efforts, help build and shape a team, and deliver high-impact insights used across engineering, product, and operations.

About the Role

We’re seeking a mathematically minded Lead Analyst to join a growing analytics team focused on evaluating complex technology systems. You’ll work with simulation, real-world, and structured datasets to assess system performance, design experiments, define metrics, and deliver actionable insights to stakeholders. This is a hands-on role with leadership opportunities as the team expands.

Responsibilities

• Lead a focus area in autonomous systems evaluation and experimentation.
• Define and build meaningful metrics to quantify system quality.
• Drive analytical frameworks that combine simulation, test, and real-world data.
• Collaborate with engineers and data teams to automate analyses and reporting.
• Mentor and grow analytical contributors.

Qualifications

• 4+ years of experience in analytics for complex tech products
• Strong Python and SQL skills — capable of building data pipelines and experiments.
• Solid statistical understanding and experience with experiment design.
• Proven leadership experience in technical analytics roles.
• Comfortable handling ambiguity and shaping processes in early-stage environments.

Nice-to-Have's:

• Experience in autonomy, robotics, or product quality analytics.

*Must have existing authorization to work in the U.S.*

Job Title - Gen AI Developer

** Location - NYC- Hudson Yards- 3 days a week**

** No visa sponsorship / transfer available for this position**

** Must have - hands on Gen AI development- 1 year and UX- Figma , Adobe**

Job Summary

The Sr. Developer role is pivotal in driving innovation through Generative AI and Machine Learning. With a focus on AI and ML concepts the candidate will leverage their expertise to enhance product offerings. This hybrid position requires a deep understanding of Docker and ML Ops ensuring seamless integration and deployment of AI solutions. The role promises impactful contributions to the companys technological advancements.

Responsibilities

The AI Innovation Studio Engineer is a client facing role responsible for representing and presenting Cognizants AI innovations with clients partners and Cognizant leadership. Operating out of the New York Innovation Studio you will be involved in immersive client conversations showcase applied AI capabilities and support innovation workshops and build pathways to further the sales funnel.

Principal Responsibilities

Client Engagement & Innovation Leadership

Support high impact client conversations demos and workshops to shape AI adoption and accelerate sales opportunities.

Contextualize demo & solution build for clients.

Support building client presentations for the studio visits.

Work with various stakeholders curate refine and maintain a catalog of AI use cases across industries such as Life Sciences BFS Insurance Communications Retail and Government.

Technical skills

Generative AI Artificial Intelligence Agentic AI frameworks like Langchain or Langgraph Python atleast one of AWS Azure and Google

Adobe XD or Figma experience to build content for client presentations.

Key Competencies

Executive communication and facilitation

Strategic problem solving and innovation thinking

High curiosity experimentation mindset and creativity

About the Company

A growing consulting firm is looking to hire a Databricks Data Engineer to join their delivery team supporting enterprise clients building modern data platforms. This is a hands-on engineering role working closely with architects, stakeholders, and data teams to design and implement scalable data solutions using Databricks and cloud technologies. The role is Hybrid in Herndon, Virginia, working as part of a collaborative consulting environment delivering high-impact data platform projects.

About the Role

This role involves working closely with various teams to design and implement scalable data solutions.

Responsibilities

• Design, build, and maintain data pipelines and ETL/ELT processes using Databricks
• Develop scalable data solutions leveraging the Databricks Lakehouse platform
• Work with architects and senior engineers to implement modern cloud data platforms
• Optimize data processing performance and ensure high data quality standards
• Support ingestion and transformation of large-scale structured and unstructured datasets
• Collaborate with client stakeholders and cross-functional teams in a consulting delivery environment
• Follow best practices for data engineering, version control, testing, and deployment

Qualifications

• Hands-on experience working with Databricks in production environments

Required Skills

• Strong programming skills in Python, PySpark, or Spark
• Experience building data pipelines and transformations within cloud data platforms
• Understanding of data modeling, distributed data processing, and data pipeline orchestration
• Experience working with modern data lake or Lakehouse architectures
• Strong communication skills and ability to work within client-facing environments

Preferred Skills

• Databricks Data Engineer Associate Certification
• Experience working within Azure, AWS, or GCP data ecosystems
• Familiarity with Delta Lake, Unity Catalog, or MLflow
• Previous experience working in consulting or professional services environments

Job Title: CAE Durability Engineer – Technical Specialist

Location: Detroit, Michigan, USA

Position Overview

We are seeking a highly experienced CAE Durability Engineer – Technical Specialist to lead the structural durability and fatigue validation of critical vehicle systems. This role is responsible for driving virtual sign-off processes, advanced simulation analysis, and correlation between simulation models and physical testing to ensure the durability and reliability of vehicle structures, particularly for electric vehicle architectures.

The ideal candidate will serve as a subject matter expert (SME) in structural durability, guiding engineering teams through simulation-based design validation while collaborating cross-functionally with design, manufacturing, and testing teams.

Job Duties for Durability CAE Tech Specialist

Core Responsibilities

• Virtual Sign-off & Validation: Lead the structural durability and fatigue sign-off for critical systems like body structures, frames, and electric vehicle (EV) battery trays before physical prototype builds.
• Advanced Simulation Leadership: Oversee complex, full-vehicle explicit and implicit dynamic simulations (e.g., ground strikes, curb strikes, and cyclic loading) to assess structural resilience.
• Model Correlation: Drive the alignment between virtual simulation models and physical test results from proving grounds or lab rigs to ensure predictive accuracy.
• Root Cause Analysis: Use physics-based principles and simulation data to diagnose and resolve durability failures from early development through production.
• Technical Mentorship: Act as a "subject matter expert" (SME), coaching junior engineers and developing new CAE methodologies.
• Cross-functional Collaboration: Engage with design, manufacturing, and "Road Load" teams to develop design load targets and ensure lessons learned are integrated into future vehicle architectures.

Key Technical Skills & Qualifications

• Simulation Software Expertise: Mastery of CAE tools such as Abaqus, Nastran and fatigue solvers like nCode DesignLife or FEMFAT.
• Material Science Knowledge: Deep understanding of fatigue life prediction, plasticity, ductile failure, and metal joining methods (e.g., welding in HSLA steels or cast materials).
• Data Processing: Proficiency in pre-processors ANSA or HyperMesh and Post-processors HyperView or Meta/Post. Familiarity in scripting languages like Python or MATLAB for automation would be a plus.
• Communication & Presentation: Excellent communication skills, both written and verbal, with a proven ability to translate complex data into clear technical and executive presentations for leadership decision-making
• Experience: Requires 10+ years of experience in structural components and CAE correlation for specialist roles.

Special Considerations:

• AI & Machine Learning:
• Proficiency in applying Reduced Order Modeling (ROM) and Neural Networks to accelerate traditional CAE simulations.
• Experience using AI-driven design tools (e.g., Altair PhysicsAI or Ansys SimAI) to predict stress and strain fields without full solver runs.
• Knowledge of Generative Design algorithms to optimize topology for durability and mass reduction.