Senior Ai Ml Ops Engineer Ii Jobs

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Summary The Senior Flex Solution Engineer (SE) is a high-impact, customer-facing technical role supporting AI/Machine Learning (AI/ML) initiatives across our strategic US Major Accounts. This role is designed for a technical professional who possesses a strong foundation in AI/ML concepts, technologies, and solution architecture, positioning them above a generalist but not necessarily requiring deep specialization (Level 200-300 technical depth). The Flex SE will act as a critical, hands-on technical resource, accelerating customer adoption and success. This role translates business challenges into AI/ML- driven solutions through the rapid development of MVPs and prototypes, supporting our regional SE teams, and driving growth in this strategic area. The AE and SE maintain ownership and ultimate approval over the account strategy. The Flex SE role is designed to be supportive, not to supersede their authority. The RVP should provide prescriptive guidance on which accounts the Flex SE should prioritize, as the RVP possesses the most comprehensive regional overview. Key Responsibilities and Scope Technical Leadership & Solutioning Partner with regional Account Executives (AEs) and Solution Engineers (SEs) to identify, qualify, and develop AI/ML opportunities within USMajo

Our Legal team at Asana works collaboratively across functions to achieve our ambitious mission of fostering effortless teamwork for everyone. We are a tightly-knit and cooperative group committed to supporting teams throughout the organization, ensuring they have the necessary resources for success while protecting Asana's core values and interests. Within our team, we exchange ideas, collectively solve problems, and collaborate with other groups to navigate through challenging issues. This role reports to Asana’s Head of Global Privacy, Data Protection, and Compliance. As a founding member of the Privacy Engineering team, you'll shape how we build privacy into our products from the ground up — bridging the legal, regulatory, and technical dimensions of privacy across the company. This role can either be fully remote depending on which US state you live in, or based in our San Francisco office with an office-centric hybrid sche dule . If based in-office: The standard in-office days are Monday, Tuesday, and Thursday . Most Asanas have the option to work from home on Wednesdays . Working from home on Fridays d epends on the type of work you do and the teams with which you partner . If you're interviewing for this role, your recruiter will share more about the in-office requirements . What you’ll achieve Lead technical privacy-by-design reviews for new features and major architectural changes, embedding privacy controls early in the development lifecycle across our business, data, and product infrastructure . Help drive compliance with global privacy regulations (such as GDPR and CCPA) by translating legal requirements into concrete engineering standards, frameworks, and tooling that facilitate velocity . Evaluate and mitigate privacy risks in AI/ML systems, including training data pipelines and model outputs . Build and operate systems that enable data rights for our users and privacy-enhancing technologies (PETs), such as data minimization and de-identificatio

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,

Zoox has embarked on a highly ambitious journey to develop a full-stack autonomous mobility solution for our cities. As a technical program manager, you will work cross-functionally with engineering leaders across software, hardware, vehicle engineering, and product to drive our corporate strategy into tactical and detailed road maps that facilitate effective execution at each stage of our growth curve. You will work with each engineering team to develop project schedules, identify milestones, flag risks, estimate budgets, and clearly communicate ongoing progress. In this role, you will: Partner with engineering managers in the respective Autonomy team (Perception, Prediction & Behavioral ML, TeleGuidance, Planning & Controls, Collision Avoidance System) to translate the top-down corporate strategy and milestones into detailed product roadmaps, timelines, and deliverables Drive cross-functional teams across Autonomy teams to build and execute on solutions for improving our driving behavior Collaborate with engineering to figure out how best to develop the underlying measurements and datasets for Driving Behavior KPIs Highlight potential risks and proactively build out risk-mitigating actions Build and deliver executive presentations on program status, issues/risks, and accomplishments Qualifications BS/MS degree in computer science, engineering or equivalent job experience At least 6 years of experience in engineering program management Experience with AI/ML, autonomous vehicles, computer vision, large language models, reinforcement learning, simulation, and/or automotive or aerospace processes Strong track record of managing complex cross-functional projects and problem solving An ability to keep the big picture in focus and to provide clear, well-structured, and concise communications tailored to each appropriate audience Deep familiarity with software dev

Technology Partnerships Team at Datadog About the Role Datadog’s Technology Partnerships team builds and scales partnerships with the technology companies that matter most to our customers from AI/ML platforms to data platform providers. As a Technology Partner Engineer, you will be the technical bridge between Datadog and our partner developer community, acting as a consultant who helps partners build world-class monitoring solutions on the Datadog platform. You will be the primary technical contact for our partners, guiding them through the entire integration lifecycle from initial architectural design to final product integrations, and launching on the Datadog Marketplace. This is a unique role that combines deep technical troubleshooting with high-level consulting and platform advocacy, working directly with external developers and seeing your contributions immediately reflected in the Datadog ecosystem. What You’ll Do Technical Advisory: Act as the technical lead for partners, advising on OAuth flows, log pipelines, OpenTelemetry, and MCP-based and API-based integrations and configurations. Co-Build: Partner closely with Datadog Partner, Product and Engineering teams to identify, prioritize, and drive joint integration roadmaps; ensure integrations are built, launched, and continuously improved to meet customer needs. Architectural & Code Review: Perform architectural assessments and deep-dive code reviews for partner integrations and marketplace repositories, ensuring they meet Datadog’s quality rubric. Technical Troubleshooting: Solve complex technical challenges for partners via dedicated technical consultations. Platform Advocacy: Identify friction points in the Datadog platform and partner with internal Product and Engineering teams to build a better developer experience. Documentation & Tracking: Maintain public-facing developer documentation including blog posts, and internal tracking systems to ensure transparency and scale. Market Awarenes

Who We Are HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates. We’re assembling a diverse, world-class team—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless. We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human-centric mindset. By embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work. Join us as we reinvent work, so people everywhere can do their best work. About The Role As a Senior Platform Engineer at HP IQ, you will help build and evolve the infrastructure, tooling, and shared platform capabilities that enable our engineering teams to develop and operate reliable, secure, and scalable services across cloud and edge environments . You will work closely with application, services, AI/ML, and security teams to improve developer velocity, production readiness, reliability, and operational efficiency across a heterogeneous infrastructure footprint. What You Might Do Design, build, and maintain shared infrastructure and platform capabilities across cloud and edge environments. Build automation and self-service tooling that improves engineering velocity and operational consistency. Develop and maintain Infrastructure-as-Code, deployment workflows, and environment provisioning. Partner with engineering teams on production readiness, including reliability, security, observability, scalability, and recovery. Improve monitoring, alerting, incident response, and operational tooling across distributed environments. Automate repetitive operational t

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. 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 Data Engineering Team Our Data Engineering team is part of the Technology Data & Intelligence organization, on a mission to accelerate Okta’s scale and growth. We focus on building platforms and capabilities utilized across the organization by sales, marketing, engineering, finance, product, and operations. You will be part of a team performing detailed technical designs, development, and implementation of applications using cutting-edge technology stacks. The Senior Data Engineer Opportunity As a Senior Data Engineer, you will be responsible for designing, building, and maintaining scalable solutions. This role involves collaborating with data engineers, analysts, scientists, and other engineers to ensure data availability, integrity, and security. You will play a critical role in preparing Okta for its AI-driven future by building stable data layers and partnering with Analytics Engineers to power our AI/ML systems. What you’ll be doing 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 Team The Perception ML Operations team sits at the center of how Nuro's vehicles learn to see. We are responsible for the training and evaluation data that powers perception models across every sensor modality: vision, lidar, radar, and beyond. We work alongside ML engineers, product owners, data engineers, and external labeling partners to turn ambiguous, fast-moving requirements into data deliverables the Perception team can build on with confidence. This is a team that operates at the intersection of ML urgency and operational discipline. Here is what the work actually looks like day-to-day: Sitting in a roadmap review, hearing a new feature requirement land, and walking out with a concrete data collection and labeling plan already scoped against timeline and budget. Reviewing vendor throughput against milestone dates and catching a capacity gap before it would become a release risk. Querying pipeline data directly to unders

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. 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 Data Engineering Team Our Data Engineering team is part of the Technology Data & Intelligence organization, on a mission to accelerate Okta’s scale and growth. We focus on building platforms and capabilities utilized across the organization by sales, marketing, engineering, finance, product, and operations. You will be part of a team performing detailed technical designs, development, and implementation of applications using cutting-edge technology stacks. The Senior Data Engineer Opportunity As a Senior Data Engineer, you will be responsible for designing, building, and maintaining scalable solutions. This role involves collaborating with data engineers, analysts, scientists, and other engineers to ensure data availability, integrity, and security. You will play a critical role in preparing Okta for its AI-driven future by building stable data layers and partnering with Analytics Engineers to power our AI/ML systems. What you’ll be doing D

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Micron’s Heterogeneous Integration Group (HIG) is shaping the future of AI and accelerated computing by developing advanced memory solutions! The team focuses on designing and optimizing High Bandwidth Memory (HBM) products for AI/ML, high-performance computing (HPC), and data-centric systems, collaborating across global engineering and product teams to deliver industry-leading performance, power efficiency, and reliability! HBM product family is growing due to high demand from industry-leading semiconductor companies. As an HBM Memory Design Engineer you will work closely with cross-functional teams including Design Engineering (DE), Product Engineering (PE), Process Integration, Packaging, and Technology Development (TD) to analyze and resolve silicon issues across HBM products . You will collaborate with architecture to understand new or updated specification requirements and contribute to the implementation, verification, and maintenance of design updates , supporting both silicon release and ongoing product lifecycle needs. This role requires strong AI driven technical execution and the ability to independently drive complex issues to closure. Responsibilities Design Support: Work on HBM product design and support sustaining design maintenance (ECOs/spec changes). Silicon Debug: Own end-to-end debug of silicon, system, and customer issues, driving root-cause analysis and resolution. Cross-Functional Collaboration: Work closely with DE, PE, TD,

JOB TITLE: Senior Security Data Engineer CLASSIFICATION: Exempt Approved by: Jitendra Patil EXPERIENCE: 5–10 Years Approved Date: REPORTS TO: Shivendra Ashish Revised Dates: POSITIONS SUPERVISED: Core Responsibilities: Pipeline Management: Maintain high-throughput streaming pipelines to ingest logs from various sources (Firewalls, Cloud, Endpoints) to a central destination. Log Normalization: Write parsers to convert raw, messy logs into standard schemas (e.g., OCSF or ECS) for consistent querying. Cost Optimization: Implement routing logic to send "high-value" data to the SIEM and "bulk" data to low-cost Object Storage (Data Lake). Data Preparation: Clean and structure data to enable AI/ML detection models and advanced analytics. Must-Have Skills: Data Engineering: Proficiency in Python (for ETL) and SQL (for complex querying). Streaming Tech: Experience with Message Queues (e.g., Kafka, Pub/Sub) and stream processing concepts. Log Handling: Mastery of Regex and log parsing strategies for standard formats (Syslog, CEF, JSON). Storage Architecture: Understanding of Data Lake principles (Parquet/Avro formats) vs. Data Warehouses. Preferred / Nice to Have: Experience with Vector Databases for storing embeddings. Knowledge of Log Observability/Routing tools (middleware that routes logs). Familiarity with Big Data frameworks (e.g., Spark, Flink). Ability to embrace Clearwater's CLEAR core values (Commitment to Client Success, Lead with Accountability, Integrity & Collaboration, Excellence in All That We Do, Advance Colleague Success, Respect & Transparency) and culture. Disclaimer: The above statements are intended to describe the general nature and level of work being performed by people assigned to this position. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of colleagues in the role. All colleagues may be required to perform duties outside of their normal responsibilities fr

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. We are looking for an Senior Engineer in Product Engineering, NAND Validation/Characterization , specializing in functional and design validation . Experienced in simulation ‑ based validation, failure analysis, and cross ‑ functional issue closure. Strong focus on automation, data ‑ driven validation, and applied AI/ML techniques to improve test efficiency, coverage, and debug productivity. This role focuses on building scalable, reusable, and automated test program frameworks, including AI/ML ‑ driven initiatives, to support both deterministic validation flows and pseudo ‑ random validation (RSG – Random Sequence Generator). You will play a key role in architecting the backbone of Verilog test programs—enabling efficient development, execution, debug, and reuse across multiple products and technology nodes. Validation scope includes NAND datasheet commands, features, interfaces, and customer ‑ mode operations on silicon platforms. When device issues are uncovered, you will perform deep failure analysis, drive root ‑ cause identification, and collaborate close

SPECIFIC JOB RESPONSIBILITIES Pipeline Management: Maintain high-throughput streaming pipelines to ingest logs from various sources (Firewalls, Cloud, Endpoints) to a central destination. Log Normalization: Write parsers to convert raw, messy logs into standard schemas (e.g., OCSF or ECS) for consistent querying. Cost Optimization: Implement routing logic to send "high-value" data to the SIEM and "bulk" data to low-cost Object Storage (Data Lake). Data Preparation: Clean and structure data to enable AI/ML detection models and advanced analytics. EXPERIENCE REQUIRED Data Engineering: Proficiency in Python (for ETL) and SQL (for complex querying). Streaming Tech: Experience with Message Queues (e.g., Kafka, Pub/Sub) and stream processing concepts. Log Handling: Mastery of Regex and log parsing strategies for standard formats (Syslog, CEF, JSON). Storage Architecture: Understanding of Data Lake principles (Parquet/Avro formats) vs. Data Warehouses. QUALIFICATIONS, SKILLS, & KNOWLEDGE Experience with Vector Databases for storing embeddings. Knowledge of Log Observability/Routing tools (middleware that routes logs). Familiarity with Big Data frameworks (e.g., Spark, Flink). PROFESSIONAL DEVELOPMENT EXPECTATIONS Ability to embrace Clearwater's CLEAR core values (Commitment to Client Success, Lead with Accountability, Integrity & Collaboration, Excellence in All That We Do, Advance Colleague Success, Respect & Transparency) and culture. The base salary range for this role is 35,000- 45,000]. Base salary is part of our total rewards package which also includes the opportunity for merit-based salary increases, eligibility for our 401(k) plan, medical, dental, vision, life and disability insurances and leaves provided in line with your work state. Our robust time-off policy includes flexible paid time off, 11 paid holidays, and paid sick time. Total compensation, including base salary to be offered, will depend on elem

Who We Are Inorsa is an AI-first automation platform revolutionizing how mission-critical infrastructure is built, maintained, and upgraded. We serve wireless telecom, fiber, data centers, and more, delivering an end-to-end automation platform that empowers infrastructure owners. We pride ourselves on our highly technical culture and innovative team, and we're one of the fastest-growing startups in our field. If you thrive on big challenges, love thinking about the big picture, and want to see your impact directly on large enterprise customers, we want to hear from you! Why Now As our customer base and technical stack expand, we’re entering a new phase of platform development. We need a senior engineer who can both lead and build, owning architecture, solving core product challenges, and mentoring the next generation of Inorsa engineers. You'll work on the hardest growth blockers and own meaningful pieces of the product vision. What You’ll Do This is an 80% technical / 20% leadership role. You'll write production-grade code, guide product architecture, and elevate engineering velocity. Core Responsibilities Design and implement scalable systems across our full stack (Python, TypeScript, SQL) Lead feature and architectural planning, and write specs for major components Collaborate cross-functionally with engineers, product managers, and designers Build and maintain integrations with AI/ML models and internal data pipelines Improve performance, reliability, and long-term maintainability of key systems Review code, mentor junior developers, and guide quality standards Communicate progress and risks with engineering leadership Act as a product owner—understand user needs, propose roadmap items, and drive implementation What You Bring Experience 6+ years of professional software engineering experience, including 2+ year

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. We are looking for an Senior Engineer in Product Engineering, NAND Validation, specializing in functional and design validation of advanced NAND products . Experienced in silicon and simulation‑based validation, electrical failure analysis, and cross‑functional issue closure. Strong focus on automation, data‑driven validation, and applied AI/ML techniques to improve test efficiency, coverage, and debug productivity. Key Responsibilities & Achievements Designed and executed functional and design validation flows for advanced RG NAND devices using silicon and simulation platforms Developed deterministic usage‑case tests and random sequence generators to validate NAND commands and customer‑mode features Performed electrical failure analysis of issues seen, root‑cause investigations (including digital and analog circuitry), and drove issue resolution with cross-functional teams Implemented automation frameworks using C‑based programming, Python, and Perl to improve test development and execution efficiency Applied AI/ML‑assisted techniques (data analytics, patter