Senior Ai Ml Data Model Architect Jobs

As Senior Data Scientist for Engineering Systems you will work independently alongside sharp, generous, and pragmatic engineers from Server Query, Atlas Clusters, and Release Quality, among other teams. Together, we tackle problems spanning resource scaling across the Atlas fleet, safe feature rollout to MongoDB clusters, automated incident response and query engine performance. Join the Platform Data Science team and help us research, prototype and ship machine learning features for MongoDB’s core server, query engine and Atlas, our database-as-a-service cloud offering. We are looking to speak to candidates who are based in Dublin or Cork for our hybrid working model. What You'll Do Partner with Server Query, Atlas Clusters, Release Quality and other engineers to embed algorithmic rigor and optimization into resource scaling, release-safety and monitoring systems across the fleet and inside query engine Deliver production-ready, thoroughly tested statistical and ML algorithms with well-identified limitations that deliver measurable business impact, not just an impressive-sounding methodology Own the full feedback loop: instrument model architecture with the metrics needed to track performance and create dashboards in collaboration with our stellar analytics team, collect feedback from users and metrics to diagnose issues or opportunities, and iterate accordingly Deliver thoughtful, kind code reviews to your peers and act as a core contributor to internal packages, tooling, and team processes that increase developer productivity Measures of Success In 3 months, you’re familiar with our workflow, have an elementary understanding of our product and what teams we work with. You have delivered small-to-medium improvements to our project portfolio In 6 months, you’ve delivered one feature you researched and prototyped from scratch and demonstrated its impact on business metrics of your choice In 12 months, you've established a track record of shipping ML-driven improveme

Capco, a Wipro company, is a global technology and management consultancy specializing in driving digital transformation in the financial services industry. With a growing client portfolio comprising of over 100 global organizations, Capco operates at the intersection of business and technology by combining innovative thinking with unrivalled industry knowledge to deliver end-to-end data-driven solutions and fast-track digital initiatives for banking and payments, capital markets, wealth and asset management, insurance, and the energy sector. Capco’s cutting-edge ingenuity is brought to life through its Innovation Labs and award-winning Be Yourself At Work culture and diverse talent. Role Summary We are seeking an experienced Data Engineer to design, build, and maintain scalable data pipelines and infrastructure that support analytics, AI/ML, and business intelligence use cases for BankX's digital banking platform. What You’ll Do Design, develop, and maintain scalable data pipelines for batch and real-time data processing. Build and optimize data ingestion, transformation, and loading (ETL/ELT) workflows. Work with Azure Data Services, Databricks, and Delta Lake to implement Lakehouse architecture. Ensure data quality, reliability, and availability across all data products. Collaborate with Data Architects to implement data models and architecture standards. Support data governance, metadata management, and lineage tracking. Ensure pipelines comply with PDPA, data classification, and security requirements. Monitor pipeline performance and troubleshoot data issues in production environments. Work closely with Data Scientists and Analysts to deliver model-ready datasets. Participate in code reviews and promote engineering best practices. What We’re Looking For 5+ years of experience in data engineering or related roles. Strong proficiency in SQL and Python for data transformation and processing. Hands-on experience with Azure Data Services, Databricks, and D

Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that’s why we’re building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors. About the Role We are looking for a Senior/Staff Software Engineer to serve as a technical leader for Nuro’s ML Data engine. You will sit at the critical intersection of Autonomy, Machine Learning, and Infrastructure, acting as an architect for the systems that feed our autonomy AI models. In this role you will be a member of the Autonomy team responsible for executing the technical strategy for transforming massive amounts of autonomy data into high-value training signals for autonomy decision making. You will design and build data products for autonomy researchers, develop queries for rare "needle-in-a-haystack" scenarios, and trigger labeling and data ingestion workflows without human intervention. You will partner directly with Autonomy ML researchers to understand their data needs, collaborate with infrastructure teams to define the right data interfaces and APIs, and build robust data selection, simulation, and introspe

P-1428 At Databricks, we run the world's largest AI platform. We believe the next breakthroughs will come from models trained on domain-specific enterprise data, not from bigger general-purpose models alone. That's why we built AI Runtime , a serverless product that makes GPU training of any size feel simple, so companies can train their own models the way frontier labs do. Customers across industries already use it to train models on governed data, from automotive AI at Rivian to Merck's TEDDY foundation models for single-cell biology and drug discovery, all the way to agents like KARL from Databricks AI Research. It takes a lot of engineering to make that work, and we've written about it on our blog: how we keep GPUs reliable , make training fault-tolerant , and speed up fine-tuning with fused kernels and smart sequence packing. As a Senior Software Engineer, you'll work on the systems behind all of this, solving hard technical problems and helping shape how AI Runtime evolves. The impact you will have: Build core parts of AI Runtime and contribute to Databricks' technical direction in AI training infrastructure. Develop reliability and observability features for a fleet that keeps growing in scale and complexity. Improve AI Runtime's developer experience, so the largest training jobs feel as simple as a first experiment. Help prepare AI Runtime for new GPU generations and workload types. Take on hard multi-node training problems, from orchestration and GPU scheduling to data loading and checkpointing. Make training faster and cheaper by raising GPU efficiency across model architectures and hardware generations. Work with research, product, and customers on what we build next and own features from design through production. Champion engineering excellence, raise the bar, and help the engineers around you grow. What we look for: 5+ years in large-scale distributed systems, with experience in GPU training, high-performance computing, or ML systems. Experience traini

About the role: We are seeking a Senior Backend Engineer with deep backend engineering expertise and proficiency in one or more major programming languages (e.g., Python, Java, Go, Rust, or Kotlin), along with a strong understanding of AI models and agents. As a core member of our AI Engineering team, you will collaborate with data scientists, ML engineers, and product managers to build scalable, production-ready infrastructure and APIs that power intelligent systems. What you'll be doing: As a Senior Backend Engineer in the AI Engineering team, you will: Build and maintain reliable, scalable backend services to support AI agent execution and orchestration. Develop AI agent systems for complex operational workflows using LangChain, LangGraph, LiteLLM, and Langfuse. Orchestrate a hybrid model stack that includes OpenAI and Google Gemini alongside self-hosted and fine-tuned LLMs like Gemma and Llama. Build and maintain integrations with clinical systems (FHIR, EMR). Drive observability and reliability using OpenTelemetry, Datadog, and Langfuse. Design APIs (GraphQL, REST), background workers, and event-driven systems that interface with AI inference engines and agent runtimes. Collaborate with Data Science, ML, and engineering teams to deploy AI features and improve the performance, scalability, and reliability of backend systems. Participate in code reviews, knowledge sharing, and mentoring to elevate the team’s technical capabilities. What we're looking for: 6+ years of backend engineering experience, with strong proficiency in more than one major programming language (such as Python, Java, Go, Rust, or Kotlin). Solid understanding of AI systems architecture and experience working in environments involving AI agents, LLMs, or inference pipelines. Proven experience in building and scaling backend APIs, microservices, and background jobs. Strong experience with relational and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB, Redis), including schema des

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. We are looking for a Senior Product Manager to join our Applied AI organization at Smartsheet. You'll own the roadmap for specialized AI agents and evaluation infrastructure, ship complex agent capabilities end-to-end, and define the standards that enable teams across the company to build agents successfully. You'll report to our Director of Product Management for Applied AI located in our Bellevue, WA office, or you may work remotely from anywhere in the US where Smartsheet is a registered employer. You Will: Own the strategy, roadmap, and execution for specialized AI agents and evaluation infrastructure Ship large, technically complex agent capabilities end-to-end with with a high degree of autonomy Define agentic development standards that enable teams beyond your own to build high-quality agents Mentor and develop junior PMs on your team Build strong cross-functional partnerships with engineering, design, and data science to drive alignment and move work forward Support other duties as assigned You Have: 8-10+ years of product management experience with technically complex platforms Fluency in AI/ML concepts -model evaluation, agent architectures, RAG, prompt engineering, quality measurement Track record of shipping enterprise software from inception to launch Experience building or managing evaluation and quality infrastructure for AI or ML systems (strongly preferred) Comfort operating in high-ambiguity environments with significant autonomy Exceptional communication skills and the ability to influence without auth

FEQ427R143 As an Infrastructure & AI Platform Specialist Solutions Architect (SSA), you will serve as a trusted technical advisor, guiding enterprise customers through the architecture, cloud infrastructure, and AI deployment patterns of their Databricks Platform on Microsoft Azure. You combine deep technical expertise with strategic thinking to position Databricks as the foundation of your customers’ data and AI strategy. This role can be remote. The impact you will have Guide strategic customers through the full lifecycle of Databricks on Azure, including platform administration, from initial architectural design to production deployment Architect and scale compute/networking infrastructure designed specifically for AI workloads, enterprise LLM deployments, and high-performance GenAI applications built on Databricks Serve as a subject matter expert in core areas such as Microsoft Azure infrastructure, infrastructure-as-code (IaC), cloud networking, and identity management Drive technical wins in competitive scenarios by demonstrating Databricks’ differentiation through custom-built solutions Orchestrate cross-functional resources (DSAs, SAs, SSAs, Partners) to deliver comprehensive solutions for complex customer needs Influence product direction by providing structured feedback on customer requirements and competitive gaps What We Look For 6+ years in solutions architecture, technical pre-sales, or a senior hands-on technical role Hands-on experience architecting underlying cloud infrastructure for AI/ML execution—including accelerator configuration (GPUs/TPUs), scalable model serving infrastructure, vectorized data retrieval, and balancing cloud performance vs. cost for large-scale AI workloads Advanced expertise across the following areas: Security & Identit y: Azure security controls, platform/network/data security, encryption, vulnerability management, compliance, and identity protocols (Microsoft Entra ID / SCIM, OAuth, SAML, Federation)

FEQ427R143 As an Infrastructure & AI Platform Specialist Solutions Architect (SSA), you will serve as a trusted technical advisor, guiding enterprise customers through the architecture, cloud infrastructure, and AI deployment patterns of their Databricks Platform on AWS. You combine deep technical expertise with strategic thinking to position Databricks as the foundation of your customers’ data and AI strategy. This role can be remote. The Impact You Will Have Guide strategic customers through the full lifecycle of Databricks on AWS, including platform administration from initial architectural design to production deployment Architect and scale compute/networking infrastructure designed specifically for AI workloads, enterprise LLM deployments, and high-performance GenAI applications built on Databricks Serve as a subject matter expert in core areas such as AWS infrastructure, infrastructure-as-code (IaC), cloud networking, and identity management Drive technical wins in competitive scenarios by demonstrating Databricks’ differentiation through custom-built solutions Orchestrate cross-functional resources (DSAs, SAs, SSAs, Partners) to deliver comprehensive solutions for complex customer needs Influence product direction by providing structured feedback on customer requirements and competitive gaps What We Look For 6+ years in solutions architecture, technical pre-sales, or a senior hands-on technical role Hands-on experience architecting underlying cloud infrastructure for AI/ML execution—including accelerator configuration (GPUs/TPUs), scalable model serving infrastructure, vectorized data retrieval, and balancing cloud performance vs. cost for large-scale AI workloads. Advanced expertise across the following areas: Security & Identit y: AWS security controls, platform/network/data security, encryption, vulnerability management, compliance, and identity protocols (AWS IAM, AWS IAM Identity Center, SCIM, OAuth, SAML, Federation) Networking &amp

Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet. The Role: As a Senior Value Engineer - Manufacturing at Celonis, you will solve business-critical operational problems for strategic accounts across CPG, pharmaceutical, and process manufacturing. Working alongside top AI/ML partners like OpenAI, Microsoft, and Databricks, you will leverage the Celonis Process Intelligence (PI) platform to bridge IT/OT systems (ERP, MES, SCADA), feed business context to AI, and drive measurable ROI at scale. In this role, you will combine hands-on technical validation (SQL, Python, Prompt Engineering) with high-level strategy—redesigning processes via agentic automation, steering data architectures, and leading end-to-end client engagements from technical workshops to executive readouts. Key Responsibilities: Pre- and Post-Sales Execution: Actively drive the full customer lifecycle. Lead technical discovery and capability demonstrations during the pre-sales expansion cycles and remain deeply involved post-sale to guide implementation, ensuring agreed value and adoption thresholds are successfully met. Insights framing and value realization: Owns driving enterprise-wide ROI and adoption programs. Increasingly accelerates customer autonomy with improved cadences and executive sponsorship through QBRs,

Do you have an insatiable curiosity and passion for science? Do you want to partner with PIs at the top research institutions in the world to accelerate their life's work? We are seeking a dedicated and science-savvy Senior Account Manager to lead our relationships with a few key R1 universities in the Northeastern or Mid-Atlantic regions. NVIDIA’s accelerated computing platform is the scientific instrument transitioning research from traditional sequential computing to massively parallel, neural networks driven labs. Our full-stack platform includes supercomputers, the CUDA programming model, and hundreds of libraries, frameworks, and models. From BioNeMo for structural biology, Parabricks for genomics, Omniverse for 3D virtual worlds, and RAPIDS for data science, to CUDA-Q for hybrid quantum-classical computing, PhysicsNeMo for physics-informed AI, and Earth-2 for climate modeling, we are empowering the next scientific breakthroughs. What You'll Be Doing: Institution and Government Engagement: Serve as a trusted advisor to university and occasionally, state government leaders, communicating NVIDIA's vision, technology roadmaps, and research impact. Grow the Business: Champion organic business growth, forecast revenue, and collaborate with IT and business partners on go-to-market strategies. Research Community Partnership: Forge strong connections with leading research labs and PIs across diverse scientific domains (e.g., AI/ML, life sciences, physical sciences, climate science, engineering, and materials science). You will understand their grand challenges and keep a pulse on emerging computational methods. Strategy Execution: Engage internal cross-functional NVIDIA teams (Solution Architects, Developer Relations, Product Management, Business Units, etc.) and university partners to accelerate science on NVIDIA’s platform. Ecosystem Enablement &

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. Smartsheet is hiring a Senior Machine Learning Operations Engineer to architect our machine learning production lifecycle. Your mission is to maintain and deploy ML models to a scalable, reliable, and secure production environment. You will design and maintain the infrastructure, automation, and monitoring systems that ensure our AI products are high-performing and cost-effective. You will report to our Director, Analytics Engineering & Data Governance and work from our Bangalore, India office. You Will: Model and Pipeline Automation Automate the deployment and retraining of ML models, from training through to production inference, by building and managing complete CI/CD/CT (Continuous Training) pipelines, adhering to MLOps best practices. Build, fine-tune, or use pre-trained LLMs, deep learning models or traditional machine learning models. Evaluate and recommend AI or ML solutions for the product using any combination of vendor solutions and/or custom-built models. Governance & Compliance Implement model versioning, lineage tracking, and auditing to ensure compliance with security and ethical standards. Performance Monitoring Continuously monitor the health and performance of production machine learning models, proactively identifying and correcting model drift, staleness, and performance degradation. Incorporate user feedback for iterative improvements and manage necessary model retraining cycles. Cross-Functional Collaboration Act as the "glue" between Data Scientists (who build models

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE Join the Pure Solutions team as a Senior MLOps Solutions Engineer to architect and build high-scale, enterprise-grade AI/ML solutions. You will be instrumental in integrating Pure Storage platforms with the evolving open-source MLOps ecosystem (Kubeflow, MLflow, Ray) to operationalize the complete machine learning lifecycle. This role requires a creative technologist with deep Python expertise to drive innovation and enable our customers and partners to achieve production AI success. WHAT YOU'LL DO Design and Automate MLOps Pipelines: Lead the development of end-to-end MLOps workflows using CI/CD tools (Git/Jenkins) and orchestration platforms (MLflow/Kubeflow), specifically integrating Pure Storage's FlashBlade, FlashArray, and Portworx as the high-performance data plane for data ingestion, training, and inference. Build High-Performance AI/ML Reference Architectures: Create validated, repeatable deployment models using Infrastructure as Code (e.g., Ansible, Terraform) for AI/ML environments spanning bare metal, virtual machines, and GPU-accelerated Kubernetes clusters, ensuring optimal performance for distributed training. Optimize and Operationalize GPU Inference: Architect and implement solutions for high-throughput, low-latency model serving, utilizing technologies like NVIDIA Triton Inference Server and advanced optimization techniques (quantization, model sharding like DeepSpeed/Megatron-LM, and dynamic bat

About Ema Ema builds AI Employees for HR, IT and Finance. Our AI Employees take on the busy work across the employee experience, from recruiting, onboarding and benefits to IT support, invoice processing and payroll, so people can spend their time on work that needs them. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Creaegis, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production. We ship real systems that run real business processes at scale. Role Overview & Key Responsibilities This is a high-leverage leadership role that spans architecture, execution, and org-building, and will shape the direction of our AI / ML initiatives at Ema. We are seeking an AI / ML technical leader who can take a vision and build it. As a Principal ML Engineer at Ema, you will be a senior technical leader responsible for shaping the machine learning roadmap, architecting large-scale ML systems, driving innovation, and ensuring our mixture of expert models (LLM + SLM + Custom Model) is accurate and performant at scale. You will collaborate across teams (research, product, infra, data, etc.), mentor senior engineers, and influence strategy and execution at company-wide levels. Responsibilities Lead the technical direction of GenAI and agentic ML systems that power enterprise-grade AI agents — spanning reasoning, retrieval, tool use, and integrations across various SaaS products. Architect, design, and implement scalable production pipelines for model training, fine-tuning, retrieval (RAG), agent orchestration, and evaluation — ensuring robustness, latency efficiency, and continuous learning. Define and own the mult

CPI Security, a national leader in residential and commercial security solutions, is seeking a Head of Information Technology to serve as the company’s senior-most technology executive. This leader will establish and execute an enterprise-wide technology strategy that supports business growth, operational scalability, customer experience, security, and innovation. Headquartered in Charlotte, North Carolina, CPI Security was founded in 1991 on an entrepreneurial spirit and a passion for helping and protecting others. What started as a company of 10 employees and 300 customers has grown into one of the nation's top 10 largest security providers with over 750 employees serving more than 250,000 customers. Over the years, CPI has received many awards for excellence, such as twice-awarded SDM Dealer of the Year, Central Station of the Year, and the Marvel Award. The company leads the industry in alarm response times, is consistently ranked in the top 10 of electronic security businesses, and is widely known as North Carolina and South Carolina's Top 25 Best Places to Work. This position will direct all aspects of IT including, but not limited to, the following: Intake and Demand Management, Cybersecurity, Software & Salesforce Engineering, Data Analytics, AI/ML Development, Architecture Governance, Cloud and On-Prem Infrastructures, Networks, Vendor & Budget Management, Helpdesk, Telephony & WFM systems, and Project Management. What You’ll Do: Collaborate with the President and Executive Leadership Team to set short and long–term strategic objectives to achieve profits, growth, or other goals of the Company. Build, direct, and execute the company’s IT strategies with a focus on the areas of Cybersecurity, IT Operations, Software Engineering Initiatives and Business Intelligence/Data Analytics. Develop a deep understanding of the business model and looks for areas where technology can differentiate customer and employee experiences and drive operational

Req ID: CSQ128R28 Location: London, United Kingdom - Hybrid Job Role: Senior Forward Deployed Engineer - Technical Architect level Recruiter: Dina Hussain We’re hiring for multiple roles within our FDE team. As a Forward Deployed Engineer (FDE), you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get the most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specifications with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects, including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects that lead to a customer's successful understanding, evaluation and adopti