Senior Ml Systems Engineer Jobs

Work Experience Required: 8 - 12 Years Experience in programing (Python, R, SQL, NoSQL,Spark) with ML tools & Cloud Technology (AWS, Azure, GCP) Experience in Python libraries such as numpy, pandas, scikit-learn, tensor-flow, scapy, scrapy, BERT etc. Good understanding in statistics, and ability to design statistical hypothesis testing to aid formal decision making. Develops predictive models using Machine Learning algorithms (SVM, Random Forest, Neural Network, Decision Tree, Logistic Regression, K-mean Clustering, linear regression, PCA etc.) Engaging with clients, understanding complex problem statements, and offering solutions in the domains of Retail, Pharma, Banking, Insurance, etc. Contribute to internal product development initiatives related to data science. Develop data science roadmap, and guide data scientist to meet their deliverables. Handling end-to-end client AI & analytics programs. Your role will be a combination of hands-on contribution, technical team management, and client interaction. Proven ability to discover solutions hidden in large datasets and to drive business results with their data-based insights Drive excellent project management required to deliver complex projects, including effort/time estimation. Be proactive, with full ownership of the engagement. Build scalable client engagement level processes for faster turnaround & higher accuracy Define Technology/ Strategy and Roadmap for client accounts, and guides implementation of that strategy within projects Run regular project reviews and audits to ensure that projects are being executed within the guardrails agreed by all stakeholders Manage the team-members, to ensure that the project plan is being adhered to over the course of the project Manage the client stakeholders, and their expectations, with a regular cadence of weekly meetings and status updates. Build a trusted advisor relationship with the IT management at clients and internal accounts leadership. Build

About the Role The Senior AI Evals Test Engineer is a hands-on technical role responsible for defining, developing, and executing robust evaluation frameworks and test strategies for AI agents built using the Google Agent Development Kit (ADK) or similar sort of agentic frameworks . This role bridges AI development and reliable deployment — ensuring our agents are safe, ethical, effective, and meet high-quality performance standards. A significant focus of the role is on Responsible AI and Safety Evals, including adversarial testing, red-teaming, bias detection, and toxicity measurement . The engineer will design scalable evaluation pipelines , build synthetic test environments, and work closely with AI/ML Engineers, Researchers, and policy teams to ensure agents are production-ready and compliant with regulatory and ethical standards. The role is 70% Automation and 30% Manual Testing , and sits within the Applied AI: Test Engineering team as a key technical authority. Key Responsibilities Design and build agent evaluation frameworks — create end-to-end infrastructure for evaluating LLM-based agents across correctness, latency, cost, safety, and task completion rate Build synthetic testing environments and simulation strategies to stress-test AI agents under diverse real-world conditions, with specific focus on agents built on Google ADK and related Google AI/ML services (e.g., Vertex AI, Gemini models) Build golden datasets and test harnesses — curate domain-specific evaluation sets for Rubrik's product verticals (data security, SaaS protection, cyber recovery, compliance) Establish eval-as-a-service — build and enhance centralized evaluation platform that any IT team members can self-serve to test their agents against standardized and custom benchmarks Automate regression and drift detection — implement CI/CD-integrated eval pipelines that catch regressions on every model or prompt change before production deployment Define eval taxonomies and rubrics — est

What if the work you did every day could impact the lives of people you know? Or all of humanity? At Illumina, we are expanding access to genomic technology to realize health equity for billions of people around the world. Our efforts enable life-changing discoveries that are transforming human health through the early detection and diagnosis of diseases and new treatment options for patients. Working at Illumina means being part of something bigger than yourself. Every person, in every role, has the opportunity to make a difference. Surrounded by extraordinary people, inspiring leaders, and world changing projects, you will do more and become more than you ever thought possible. Senior Data Engineer Role Overview The Databricks Platform Engineer is the technical owner of our Databricks Lakehouse platform — the shared foundation on which enterprise data products, analytics, reporting and AI/ML workloads are built. This is a hands-on individual-contributor role responsible for the reliability, scalability, security, automation, governance and cost efficiency of the Databricks platform. The successful candidate will have production experience operating Databricks as an enterprise platform, not just building on it. They will work AI-natively and set that standard for the team. You will own the Data Platforms domain within a cross-skilled Data & Analytics Platforms engineering team. You will establish platform engineering standards, design and build infrastructure automation, create reusable reference architectures and engineering patterns, and ensure the platform can be operated reliably at enterprise scale. You will also mentor engineers and help build platform engineering capability within the India team. Key Responsibilities Platform ownership Own workspace- and accoun

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. A CAD Engineer is a development/support role focusing on semi-conductor / EDA design flows/tools. At Micron Technology, Inc., you will be working in a fast-paced, collaborative, production support role evaluating, developing, improving, and debugging both in-house and commercial EDA tools and flows for the design, physical layout, and verification of CMOS integrated circuits. Responsibilities and Tasks include, but not limited to: Serves as a subject matter of expert within a technical discipline Defines and leads large projects Provide input to team members and managers on technical or innovation Guide the ML/AI implementation on CAD flows Providing training, documentation, and support to end-users on new tools and methods Collaborating closely with design and process teams Develop and apply CAD software engineering methods, theories, and research techniques in support of the organization's product development. Assignments include crafting and developing CAD software, assessing architecture and hardware limitations, and defining and implementing CAD software engineering applications. Successful candidates will have the following: Coursework or experience in EE, CE or CS including VLSI circuit design and software Expertise in IC design CAD tools (schematics, layouts, simulation, and verification tools) is required Exposure to CMOS circuit design and implementation including area, speed, and power tradeoffs Excellent programming fundamentals are required In-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. Responsibilities include, but not limited to: Partner with product owners and business groups across business units and sales. Understand their needs clearly. Turn business problems into scalable, data-driven DS, ML, AI, and GenAI solutions. Implement these solutions in Python and cloud environments. Design, develop, and implement predictive and forecasting models, machine learning models, statistical analysis, and data mining techniques to address business challenges. Design, develop, and deploy optimization and simulation models (e.g., mathematical programming, stochastic simulation, scenario analysis, and what‑if modeling) to evaluate trade‑offs, optimize business decisions, and improve operational and financial outcomes across complex, multi‑constraint problem spaces. Analyze large and complex datasets, identifying trends, patterns, and anomalies to extract valuable and actionable insights. Build and deploy data visualization dashboards and reports to effectively communicate insights to business leaders across different levels. Research and explore new data science techniques, including generative AI and large language models, to enhance business processes and decision-making. Contribute to data governance and infrastructure: Help maintain and improve our data infrastructure, ensuring data quality and integrity. Minimum Qualifications: 2+ years of experience as a Data Scientist, with expertise in using advanced analytics, machine learning, and statisti

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

Natera’s Research team is building tests that can detect many cancers from a single blood draw. We are looking for a Senior or Lead Bioinformatics Scientist to join the team building the technology at the heart of that effort. You will work with large-scale, multi-modal genomic datasets from clinical cohorts and partner closely with molecular biologists and clinical scientists. You will help advance the state-of-the-art and drive new methods from prototype, through scalable implementation, toward clinical validation and, ultimately, to patients. PRIMARY RESPONSIBILITIES: Develop and validate new algorithms to analyze large multimodal epigenomic datasets Drive research analyses through implementation, testing and performance evaluation, including developing new features within existing pipelines Work with sequencing and clinical data from large cohorts, ensuring data integrity and quality control Partner with molecular biologists and clinical scientists to solve challenging, open-ended problems Visualize results and present complex findings to both technical and non-technical audiences Contribute to the team’s standards for code quality and reproducibility QUALIFICATIONS: Ph.D. in Bioinformatics, Computer Science, Biology, or a related field; alternatively a Bachelor’s or Master’s degree with at least 4 years of professional experience Track record developing and validating analysis workflows for high-throughput sequencing data Experience applying and evaluating statistical and ML methods to large datasets Strong quantitative reasoning and data analysis skills, applied effectively to real scientific problems. Software development experience, including proficiency in Python and its scientific computing ecosystem Fluent using Linux command-line tools and cloud computing environments Strong verbal and written communication skills Preferred Experience Working knowledge of DNA methylation and other epigenomic data Experience with cell-free DNA and liquid biopsy samples Ba

Natera’s Research team is building tests that can detect many cancers from a single blood draw. We are looking for a Senior or Lead Bioinformatics Scientist to join the team building the technology at the heart of that effort. You will work with large-scale, multi-modal genomic datasets from clinical cohorts and partner closely with molecular biologists and clinical scientists. You will help advance the state-of-the-art and drive new methods from prototype, through scalable implementation, toward clinical validation and, ultimately, to patients. PRIMARY RESPONSIBILITIES: Develop and validate new algorithms to analyze large multimodal epigenomic datasets Drive research analyses through implementation, testing and performance evaluation, including developing new features within existing pipelines Work with sequencing and clinical data from large cohorts, ensuring data integrity and quality control Partner with molecular biologists and clinical scientists to solve challenging, open-ended problems Visualize results and present complex findings to both technical and non-technical audiences Contribute to the team’s standards for code quality and reproducibility QUALIFICATIONS: Ph.D. in Bioinformatics, Computer Science, Biology, or a related field; alternatively a Bachelor’s or Master’s degree with at least 4 years of professional experience Track record developing and validating analysis workflows for high-throughput sequencing data Experience applying and evaluating statistical and ML methods to large datasets Strong quantitative reasoning and data analysis skills, applied effectively to real scientific problems. Software development experience, including proficiency in Python and its scientific computing ecosystem Fluent using Linux command-line tools and cloud computing environments Strong verbal and written communication skills Preferred Experience Working knowledge of DNA methylation and other epigenomic data Experience with cell-free DNA and liquid biopsy samp

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. Our EPD Recruiting team builds the teams that build Plaid. We partner with leaders across Engineering, Product, Design, Data, and Security to deliver thoughtful, candidate-first recruiting experiences that raise the bar for how we scale. We are responsible for delivering world-class technical talent through pragmatic, data-informed, and principle-aligned recruiting practices. We believe the hardest hires are won upstream, in the research and the reach-out, long before a loop is ever scheduled. Our goal is to help Plaid grow intentionally by hiring exceptional people who share our values and drive our mission to unlock financial freedom for everyone. We are hiring a Senior Technical Sourcer to build the pipelines behind Plaid's most difficult technical searches. You will own the top of the funnel across software engineering, infrastructure, data science, AI/ML, and security, from market research and pipeline strategy to qualified candidates entering the interview process. This role is for a deep researcher. Many of the people we need are not always findable by title alone, do not respond to templated outreach, and are not on any list you can buy. You will find them anyway, by mappi

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

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. The Heterogeneous Integration Group (HIG) sits within the Technology and Products Group (TPG). We are developing High Bandwidth Memory (HBM) solutions for AI and ML applications! We stack multiple DRAM chips on a high-speed memory controller using TSV (Through Silicon Via) technology, dramatically increasing memory density and bandwidth. Our designs span custom digital and RTL2GDS flows, and we are targeting the lowest power per bit in the industry. Micron’s High Bandwidth Memory (HBM) Design Verification team is responsible for ensuring the functionality, performance, and quality of next‑generation memory products that enable advanced computing applications. As a Senior Design Verification Engineer, you will collaborate closely with design, architecture, and product engineering teams to verify complex, high‑density DRAM circuits and deliver robust, production‑ready designs. This role combines deep technical verification expertise with cross‑functional collaboration in a global environment. You will be challenged by the complexity and difficulty of verifying high density memory chips (up to 32Gb) with huge scale of circuit capability (over 4M transistors), ultra-high speed designs, sophisticated functionality which includes next Generation DDR/LPDDR (ex: DDR5, LPDDR5) and advanced low power and power management technologies. You will be responsible to evaluate the functionality and performance of the Full-chip and block-level circuit designs using different verification tools, techniques, and strategies. In addition, you will also n

REQ ID: CSQ128R7 Location: London, United Kingdom - Remote location for candidates to be based in the United Kingdom region ONLY ( not remote from any other country) Mission The Forward Deployed AI Engineering (AI FDE) team is a highly specialised customer-facing AI team at Databricks. We deliver professional services (PS) engagements to help our customers build and productionize first-of-its-kind AI applications with a focus on GenAI. We work cross-functionally with AI/ML Product, Research, and Engineering to shape long-term strategic priorities and initiatives. We are looking for a world-class leader to lead and grow our UK AI FDE team. In this role, you will lead customers on their AI/ML transformation with Databricks, push the boundaries of our product, recruit and develop top data scientists/machine learning engineers, and manage a portfolio of key EMEA accounts. You will report directly to the Director AI FDE. The impact you will have: Lead and scale a world-class AI/ML professional services team, including hiring, mentoring, and building a team structure to support long-term growth and execution at scale Develop and expand executive relationships with EMEA customers and partners (including VP+, CIO/CDO-level stakeholders), acting as a trusted advisor during complex technical engagements and AI transformations Align with Field Engineering and Sales Leaders to define joint strategies for strategic accounts and ensure strong delivery coordination across functions Lead strategic AI PS initiatives, practice development, and standardised delivery processes; design scalable engagement models and reusable solutions for repeatability across the global team Shape cross-functional collaboration by influencing Product, R&D, and GTM—ensuring voice-of-customer insights and delivery learnings help inform the product roadmap and GTM strategy Own OKRs for AI-services led accounts, revenue, utilisation, and public references Represent Databricks as a thought le

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

About Stitch Fix, Inc. Stitch Fix (NASDAQ: SFIX) Stitch Fix is redefining retail by combining human creativity with advanced data science and Generative AI. As we build the future of personalized shopping, we’re equally committed to building yours. We believe in investing in our team as much as our technology. Join us to be a trendsetter in the industry and help us redefine what’s possible for our clients, while we help you reach your full potential. About the Role At Stitch Fix, we are at the forefront of innovation, creating cutting-edge solutions that blend fashion, technology, and data science. Our data science team combines machine learning with expert human judgment to generate innovative recommendations and insights that transform the way our clients discover what they love. We believe in a curiosity-driven data science culture where members are empowered to deliver impact through end-to-end model development. The diversity of the problems that we work on and the data-rich environment of our business make it possible, even essential, to bring the tools of multiple disciplines to bear on our hardest problems. We are looking for an experienced Styling Algorithms Team Manager to lead a group of talented machine learning engineers and data scientists. In this role, you will shape the future of fashion technology by driving the development and deployment of our styling algorithms, which empower our human stylists to delight clients by nailing their fit and style. This includes ML-, AI-, and product-driven feature curation and testing for our proprietary styling platform, as well as client-facing AI personalization experiences, such as Stitch Fix Vision, our virtual try-on. Responsibilities: Champion bold AI and ML interventions to improve our styling experiences, enabling our stylists to have a multiplicative impact on their client connection points. Likewise, actively shape the product roadmap for direct client-facing styling experiences, expand

Truveta is the world’s first health provider led data platform with a vision of Saving Lives with Data. Our mission is to enable researchers to find cures faster, empower every clinician to be an expert, and help families make the most informed decisions about their care. Achieving Truveta’ s ambitious vision requires an incredible team of talented and inspired people with a special combination of health, software and big data experience who share our company values . Truveta was born in the Pacific Northwest in the USA and has employees who live across the country. As we expand our global footprint with a new presence in Hyderabad, India, we’re building a world-class team to help us scale this mission and Clinical Intelligence and AI Evaluation is at the heart of everything we do. This job requires daily onsite work at our headquarters in Hyderabad, India. This Opportunity Join the founding team of the Truveta India Development Center (IDC) and play a pivotal role in shaping its future. As one of the initial members, you'll help build and scale a high-impact organization while contributing to products and platforms that advance healthcare through data and AI. This is a unique opportunity to influence both the technical direction and the culture of a growing global engineering hub. This highly visible position will report to our Director of Clinical Intelligence and AI Evaluation team directly and will collaborate closely with engineers, product managers, designers, and ML teams across geographies. Who We Need Truveta is rapidly building a talented and diverse team to tackle complex healthcare domain data and technical challenges. Beyond core capabilities, we are seeking problem solvers, passionate and collaborative teammates, and those willing to roll up their sleeves while making a difference. If you are interested in the opportunity to pursue purposeful work, join a mission-driven team, and build a rewarding career while h