Machine Operator Integrator Jobs

Artefact is a new generation of data service providers specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth. The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner… What you will be doing? As a Data Engineer Manager, your role involves crafting and maintaining robust data pipelines, utilising Python and SQL, to ensure efficient extraction, transformation, and loading (ETL) of data. Your responsibilities will include: Data Pipeline Development: Building and optimising data pipelines to facilitate seamless data flow across systems and platforms. Database Management: Managing databases, ensuring their integrity, and implementing data storage and retrieval solutions. Cloud Services Integration: Leveraging cloud services such as MS Azure, GCP, and AWS to architect and deploy scalable data solutions. Machine Learning Integration: Collaborating with teams to integrate machine learning models into data pipelines for enhanced data processing. Utilising Spark & Kafka: Implementing and working with Spark and Kafka for real-time data processing and analytics. Mentor and guide engineers, fostering knowledge sharing and best practices. What we are looking for? 8+ years of industry experience in data engineering. Proficiency in Python, SQL, and database management. Experience with Data Pipelines ETL, Cloud Services (MS Azure, GCP, AWS), ML Modeling, Spark & Kafka. Data modelling and modern data platform design concepts Building and maintaining data platforms in Azure/AWS or GCP Experience working with business stakeholders either internally or externally Excellent communication skills to collaborate effectively within teams and with stakeholders.

Who is Artefact? Artefact is a global consulting firm specialising in Data & AI , dedicated to transforming data into measurable business impact. We combine business consulting with deep expertise in data, AI, analytics, and technology to help organisations accelerate their transformation. Our multidisciplinary teams bring together consultants, data scientists, data engineers, AI engineers, and technology experts to deliver impactful solutions for leading organisations around the world. As we continue to grow our Data & AI capabilities in Southeast Asia, we are looking for an AI Engineer to join our team in Kuala Lumpur, Malaysia . About the Role As an AI Engineer, you will be a hands-on builder, working on the design, development, and deployment of AI and Generative AI solutions for our clients. You will work within multidisciplinary teams and collaborate directly with client stakeholders to transform business challenges and ideas into practical, scalable AI solutions. What You Will Be Doing Build & Deploy AI Solutions: Design, prototype, test, and deploy AI/ML and Generative AI solutions, from PoCs through to production. Generative AI & LLMs: Develop solutions leveraging LLMs, RAG, embeddings, prompt engineering, AI agents, and other emerging GenAI capabilities. Machine Learning: Develop and integrate machine learning and deep learning models using relevant frameworks and libraries. Cloud & AI Engineering: Build and deploy solutions using GCP, Azure, or AWS , including cloud-native AI services and data pipelines. Solution Development: Contribute to the architecture and development of scalable, secure, and maintainable AI solutions. Productionisation: Support deployment, monitoring, optimisation, and integration of AI solutions into client environments. Client Collaboration: Work with business and technology stakeholders to understand requirements and translate them into technical solutions. Continuous Innovation: Keep up with developments acros

NVIDIA is seeking a Senior System Architect: Heterogeneous EDA Systems to solve a complex challenge in accelerated computing: Failure Attribution at Scale. As EDA or equivalent experience workloads scale across thousands of heterogeneous nodes, a single failure can cause massive resource waste. We need an engineer to develop and build an automated framework. This framework will ingest telemetry from CPU and GPU clusters to identify the root cause of job failures in real-time. It will distinguish between hardware faults, infrastructure instability, and software defects. What you'll be doing: Architect Failure Attribution Frameworks: Build a scalable "flight recorder" for EDA jobs that captures high-fidelity state across the CPU, GPU, and Fabric at the moment of failure. Build automated diagnostics that correlate GPU XID errors, PCIe bus failures, and CUDA memory exceptions. Connect these errors with system-level events such as OOM kills or NUMA-related hangs. Distributed Logging & Tracing: Implement low-overhead tracing mechanisms (using tracing tools or custom agents) that provide access to job execution across multi-node Slurm or Kubernetes clusters. Root Cause Automation: Develop heuristics and models based on machine learning to classify failures as "Hardware Fault," "Software Bug," or "Environment Issue." This reduces the Mean Time to Identify (MTTI) for R&D teams. Resiliency Engineering: Work closely with hardware and infrastructure teams to define "signals of impending failure," enabling proactive job migration or check-pointing before a crash occurs. What we need to see: Distributed Systems Mastery: BS, MS, or PhD in Computer Science or Electrical Engineering (or equivalent experience) with 6+ years in systems programming. Experience building automated

Our Purpose Mastercard powers economies and empowers people in 200&#43; countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Manager, Software Engineering Overview We are seeking a hands-on Manager, Software Engineering to lead the development of scalable data platforms, backend systems, and data pipelines supporting Mastercard's Portfolio Intelligence products. This role will initially focus on leading a team of Data Engineering contractors while providing strong technical leadership across architecture, delivery, and engineering excellence. The ideal candidate is a recent practitioner who has built and operated modern data platforms and backend services, can confidently review architecture proposals and code, and leverages AI-powered engineering tools to improve productivity, quality, and delivery speed. As the team evolves, this leader will play a key role in building and developing a high-performing organization of full-time engineers. What You'll Do Technical Leadership Provide technical leadership for backend services, data pipelines, and platform capabilities that support analytics, reporting, and AI-driven products. Review architecture and design documents to ensure solutions are scalable, maintainable, secure, and aligned with long-term platform strategy. Conduct and oversee code reviews, promoting engineering best practices, reliability, security, and operational excellence. <br

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. At CVS Health, Site Reliability Engineering (SRE) is fundamental to delivering the reliable, secure, and scalable technology experiences that support millions of patients, customers, pharmacists, and healthcare professionals every day. Our SRE organization drives operational excellence across critical healthcare and retail platforms through innovation, automation, observability, and engineering best practices. The Executive Director, Site Reliability Engineering serves as the strategic leader responsible for the reliability, resilience, and performance of CVS Health's retail and pharmacy technology ecosystem. This executive will define and execute a comprehensive reliability strategy, oversee large global engineering teams, and establish a long-term vision for observability, automation, and operational excellence across thousands of store locations. Working closely with senior business and technology leaders, the Executive Director will champion modern SRE practices, accelerate incident response capabilities, and deliver real-time operational visibility that enables proactive issue prevention and exceptional customer and patient experiences. Key Responsibilities Strategic Leadership & Vision Define and lead the enterprise-wide Site Reliability Engineering strategy supporting CVS Health's retail and pharmacy operations. Align reliability and operational

Senior Data Scientist Description - The Team We are an expanding team at HP that develops applications that make use of Generative AI and Large Language Models. We work with business units mainly from the Commercial Organization to develop and run solutions that help our sales teams and customers. Responsibilities Defines and implements AI solutions to create business value and innovation. Works with Data Science leaders to develop new innovative solutions to existing or new business challenges. Develops clear presentations for business stakeholders and managers. Manages relationships with business partners to evaluate and foster data driven innovation, provide domain-specific expertise in cross-organization projects/initiatives. Knowledge & Skills Proficiency in Python and PySpark Programming: Strong coding skills in Python for data manipulation, model development, and integration with Azure services. Experience with Azure Services: Knowledge of key Azure services like Azure Machine Learning, Azure AI Search, and Azure Functions for deploying RAG systems. Expertise in Databricks: Ability to design, develop, and optimize workflows in Azure Databricks for data processing and feature engineering. Understanding of NLP and GenAI concepts: Familiarity with Large Language Models, prompt engineering for LLMs, vector databases, and Retrieval Augmented Generation (RAG) systems. Experience in Applied Statistics and Algorithms: Use statistics, mathematics, algorithms, and programming to address business challenges. Familiarity with the deployment and scaling RAG systems in production, using Azure’s containerization options such as Docker, AKS (Azure Kubernetes Service), or Azure Funct

CSQ427R89 About the team: The FDE (Forward Deployed Engineering) team is a new, strategic initiative sponsored by the CEO and Founders. Our mission is to win C-suite-sponsored, high-value AI opportunities by selling and delivering outcomes , not just a platform. You will be part of the founding team, embedded with our most strategic customers from the very first sales call through to a production-ready solution. You will be the "product manager" for the customer's problem, responsible for the "why" and "what," while our FDEs (Engineers) will be your partners responsible for the "how." Role description: As a Deployment Strategist (DS), you are the critical bridge between a customer's multi-million-dollar business problem and Databricks' technical solution. You are a product manager for the field, owning the technical and product direction of the engagement from initial discovery through production launch and adoption. You will build C-suite trust, perform deep discovery to map the customer's political and technical landscape, and scope the value. You will define the Minimum Viable Product for a pilot, write the PRD that guides the engineering team, and manage the project to a successful landing. You will also lead technical discovery, shape solution architecture with FDEs, and ensure that each proposed solution can move from prototype to production. This role requires a rare combination of executive presence, deep product thinking, technical depth, and a hands-on delivery mindset. The impact you will have: C-Suite Scoping & Value Definition: Partner with Sales to perform deep discovery, map the customer's organization, quantify the business value of $10M+ problems, and define the pilot, including its MVP, success criteria, and timeline. End-to-End Product Ownership: Author the PRD, prioritize the engineering backlog, manage scope, and act as the primary hands-on QA tester. Translate business requirements into clear data, integration, security, an

CSQ427R137 About the team: The FDE (Forward Deployed Engineering) team is a new, strategic initiative sponsored by the CEO and Founders. Our mission is to win C-suite-sponsored, high-value AI opportunities by selling and delivering outcomes , not just a platform. You will be part of the founding team, embedded with our most strategic customers from the very first sales call through to a production-ready solution. You will be the "product manager" for the customer's problem, responsible for the "why" and "what," while our FDEs (Engineers) will be your partners responsible for the "how." Role description: As a Deployment Strategist (DS), you are the critical bridge between a customer's multi-million-dollar business problem and Databricks' technical solution. You are a product manager for the field, owning the technical and product direction of the engagement from initial discovery through production launch and adoption. You will build C-suite trust, perform deep discovery to map the customer's political and technical landscape, and scope the value. You will define the Minimum Viable Product for a pilot, write the PRD that guides the engineering team, and manage the project to a successful landing. You will also lead technical discovery, shape solution architecture with FDEs, and ensure that each proposed solution can move from prototype to production. This role requires a rare combination of executive presence, deep product thinking, technical depth, and a hands-on delivery mindset. The impact you will have: C-Suite Scoping & Value Definition: Partner with Sales to perform deep discovery, map the customer's organization, quantify the business value of $10M+ problems, and define the pilot, including its MVP, success criteria, and timeline. End-to-End Product Ownership: Author the PRD, prioritize the engineering backlog, manage scope, and act as the primary hands-on QA tester. Translate business requirements into clear data, integration, security, a

CSQ327R211 About the team: The FDE (Forward Deployed Engineering) team is a new, strategic initiative sponsored by the CEO and Founders. Our mission is to win C-suite-sponsored, high-value AI opportunities by selling and delivering outcomes , not just a platform. You will be part of the founding team, embedded with our most strategic customers from the very first sales call through to a production-ready solution. You will be the "product manager" for the customer's problem, responsible for the "why" and "what," while our FDEs (Engineers) will be your partners responsible for the "how." Role description: As a Deployment Strategist (DS), you are the critical bridge between a customer's multi-million-dollar business problem and Databricks' technical solution. You are a product manager for the field, owning the technical and product direction of the engagement from initial discovery through production launch and adoption. You will build C-suite trust, perform deep discovery to map the customer's political and technical landscape, and scope the value. You will define the Minimum Viable Product for a pilot, write the PRD that guides the engineering team, and manage the project to a successful landing. You will also lead technical discovery, shape solution architecture with FDEs, and ensure that each proposed solution can move from prototype to production. This role requires a rare combination of executive presence, deep product thinking, technical depth, and a hands-on delivery mindset. The impact you will have: C-Suite Scoping & Value Definition: Partner with Sales to perform deep discovery, map the customer's organization, quantify the business value of $10M+ problems, and define the pilot, including its MVP, success criteria, and timeline. End-to-End Product Ownership: Author the PRD, prioritize the engineering backlog, manage scope, and act as the primary hands-on QA tester. Translate business requirements into clear data, integration, security, a

CSQ327R215 About the team: The FDE (Forward Deployed Engineering) team is a new, strategic initiative sponsored by the CEO and Founders. Our mission is to win C-suite-sponsored, high-value AI opportunities by selling and delivering outcomes , not just a platform. You will be part of the founding team, embedded with our most strategic customers from the very first sales call through to a production-ready solution. You will be the "product manager" for the customer's problem, responsible for the "why" and "what," while our FDEs (Engineers) will be your partners responsible for the "how." Role description: As a Deployment Strategist (DS), you are the critical bridge between a customer's multi-million-dollar business problem and Databricks' technical solution. You are a product manager for the field, owning the technical and product direction of the engagement from initial discovery through production launch and adoption. You will build C-suite trust, perform deep discovery to map the customer's political and technical landscape, and scope the value. You will define the Minimum Viable Product for a pilot, write the PRD that guides the engineering team, and manage the project to a successful landing. You will also lead technical discovery, shape solution architecture with FDEs, and ensure that each proposed solution can move from prototype to production. This role requires a rare combination of executive presence, deep product thinking, technical depth, and a hands-on delivery mindset. The impact you will have: C-Suite Scoping & Value Definition: Partner with Sales to perform deep discovery, map the customer's organization, quantify the business value of $10M+ problems, and define the pilot, including its MVP, success criteria, and timeline. End-to-End Product Ownership: Author the PRD, prioritize the engineering backlog, manage scope, and act as the primary hands-on QA tester. Translate business requirements into clear data, integration, security, a

CSQ327R212 About the team: The FDE (Forward Deployed Engineering) team is a new, strategic initiative sponsored by the CEO and Founders. Our mission is to win C-suite-sponsored, high-value AI opportunities by selling and delivering outcomes , not just a platform. You will be part of the founding team, embedded with our most strategic customers from the very first sales call through to a production-ready solution. You will be the "product manager" for the customer's problem, responsible for the "why" and "what," while our FDEs (Engineers) will be your partners responsible for the "how." Role description: As a Deployment Strategist (DS), you are the critical bridge between a customer's multi-million-dollar business problem and Databricks' technical solution. You are a product manager for the field, owning the technical and product direction of the engagement from initial discovery through production launch and adoption. You will build C-suite trust, perform deep discovery to map the customer's political and technical landscape, and scope the value. You will define the Minimum Viable Product for a pilot, write the PRD that guides the engineering team, and manage the project to a successful landing. You will also lead technical discovery, shape solution architecture with FDEs, and ensure that each proposed solution can move from prototype to production. This role requires a rare combination of executive presence, deep product thinking, technical depth, and a hands-on delivery mindset. The impact you will have: C-Suite Scoping & Value Definition: Partner with Sales to perform deep discovery, map the customer's organization, quantify the business value of $10M+ problems, and define the pilot, including its MVP, success criteria, and timeline. End-to-End Product Ownership: Author the PRD, prioritize the engineering backlog, manage scope, and act as the primary hands-on QA tester. Translate business requirements into clear data, integration, security, a

CSQ327R214 About the team: The FDE (Forward Deployed Engineering) team is a new, strategic initiative sponsored by the CEO and Founders. Our mission is to win C-suite-sponsored, high-value AI opportunities by selling and delivering outcomes , not just a platform. You will be part of the founding team, embedded with our most strategic customers from the very first sales call through to a production-ready solution. You will be the "product manager" for the customer's problem, responsible for the "why" and "what," while our FDEs (Engineers) will be your partners responsible for the "how." Role description: As a Deployment Strategist (DS), you are the critical bridge between a customer's multi-million-dollar business problem and Databricks' technical solution. You are a product manager for the field, owning the technical and product direction of the engagement from initial discovery through production launch and adoption. You will build C-suite trust, perform deep discovery to map the customer's political and technical landscape, and scope the value. You will define the Minimum Viable Product for a pilot, write the PRD that guides the engineering team, and manage the project to a successful landing. You will also lead technical discovery, shape solution architecture with FDEs, and ensure that each proposed solution can move from prototype to production. This role requires a rare combination of executive presence, deep product thinking, technical depth, and a hands-on delivery mindset. The impact you will have: C-Suite Scoping & Value Definition: Partner with Sales to perform deep discovery, map the customer's organization, quantify the business value of $10M+ problems, and define the pilot, including its MVP, success criteria, and timeline. End-to-End Product Ownership: Author the PRD, prioritize the engineering backlog, manage scope, and act as the primary hands-on QA tester. Translate business requirements into clear data, integration, security, a

About the Team & Role: We're building Rubrik Agent Cloud, the enterprise platform to monitor, govern, and remediate AI agents. Our team operates at the intersection of AI, distributed systems, and enterprise security, creating solutions that make it possible for organizations to operate production-grade AI agents at scale. As a member of the Rubrik Agent Cloud team, you'll work with cutting-edge AI technologies while solving complex challenges in scaling, security, and performance. We're a collaborative team passionate about pushing the boundaries of what's possible with enterprise AI infrastructure. Nature of the Specialized Duties ➢ Architecting and Governing Secure Multi-Cloud Foundations (30% of time) Leading the end-to-end architectural design and onboarding of complex business units into a multi-cloud ecosystem (AWS, Azure, GCP, OCI), ensuring structural parity across disparate environments. Engineering secure "Landing Zones" and multi-tenant structures using advanced Identity and Access Management (IAM) hierarchies and automated policy enforcement. Developing and implementing global Role-Based Access Control (RBAC) models and Attribute-Based Access Control (ABAC) frameworks to manage granular permissions for AI agent workloads. Designing and governing resource hierarchy models and tagging standards that utilize metadata for automated lifecycle management and complex cost-attribution algorithms. ➢ Engineering Security and Compliance at Scale for AI Workloads (25% of time) Designing and implementing cryptographic controls, including Key Management Service (KMS) integration, encryption-at-rest/transit protocols, and hardware security module (HSM) configurations. Architecting network security perimeters using VPC Service Controls , Privileged Identity Management (PIM), and deep packet inspection logging. Conducting technical root-cause analysis of security vulnerabilities and engineering automated remediation scripts to close compliance gaps (SOC 2, ISO

Zoox is seeking a highly motivated, hands-on Lead AI Engineer to spearhead the end-to-end development and deployment of our Enterprise Gen AI and LLM initiatives, building agentic workflows, integrating enterprise data sources, and enforcing identity-aware security, that transform operations across Procurement, Supply Chain, Legal, Finance, HR and Manufacturing (MES). In this role, you will: Design and deploy production-grade LLM applications and intelligent agents capable of complex reasoning, secure tool usage and autonomous multi-step workflows. Architect enterprise data/tool integrations using MCP servers, establishing standardized, reusable connectors across Procurement, Supply Chain, Legal, Finance, HR and Manufacturing (MES). Enforce security guardrails via AI gateways - authentication, rate-limiting, logging and policy compliance for all model/agent traffic. Implement identity inheritance via SSO, ensuring agents act strictly within the requesting user's permissions & privileges (no privilege escalation, no standing overreach). Work with the Information Security team on access control (RBAC/ABAC) for agentic systems and establish observability standards for agent behavior and data access. Partner with cross-functional teams to build secure, code-driven AI automation. Qualifications: 10+ years in Data/Software Engineering, with 2+ years deploying GenAI/LLMs in production. Deep Python proficiency; experience with LangChain, LlamaIndex or provider-native orchestration (e.g., Claude Agent SDK, OpenAI Assistants/Agents SDK or hand-rolled). Hands-on experience building/integrating MCP servers or comparable connector frameworks. Experienced in AI gateway solutions (e.g. Cloudflare AI Gateway) for governing agent traffic. Working knowledge of SSO/identity federation (SAML, OIDC, OAuth 2.0) and propagating identity through agentic tool calls.

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Senior Software Engineer (Federal) Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The Okta Identity Governance Team Okta Identity Governance (OIG) is Okta's Identity Governance and Administration solution, responsible for some of the most critical and visible workflows in enterprise identity: how people request access, how approvers grant it, how entitlements are enforced, and how organizations prove to auditors that only the right people have the right access. OIG is the leading contributor to Okta's new product bookings, and it runs inside some of the largest enterprises in the world — the kind of accounts where a single tenant carries hundreds of thousands of identities across thousands of applications. OIG currently supports high-compliance public sector workloads and plans to expand our footprint to support the most secure, highly classified environments in government. The Senior Software Engineer (Federal) Opportunity As a Senior Fullstack Engineer on the OIG (Federal) team, your mission