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Pixis

<div>
 
 
 About us:
 
 
 
 
 
 
 Pixis is a global AI technology company transforming how brands plan, create, and optimize marketing. Our flagship marketing operating system, Prism, sits at the core of the Pixis platform, using AI to turn fragmented performance data into clear, actionable insights and directly into execution. With native integrations across major ad platforms, built-in creative intelligence, and a secure, enterprise-ready infrastructure, Pixis helps marketing, creative, and strategy teams move from idea to action in minutes instead of weeks. The company&rsquo;s mission is to eliminate manual workflows and replace them with intelligent, role-aware systems that scale strategy, creative, and performance without increasing team size
 
 
 
 
 
 The company has raised a total funding of
 
 $209M across Series A, B, C and C1
 
 , and is backed by recognized investors including SoftBank Vision Fund 2, Touring Capital, Grupo Carso, General Atlantic, Celesta Capital and Chiratae Ventures.
 
 
 
 
 
 Our customer base includes global brands such as DHL Express, Joe &amp; The Juice, Claroshop, Allbirds, L&rsquo;Oreal, HDFC Bank, Skoda, Swiggy, Clar and SmartAsset, to name a few Today Pixis&rsquo; talented and diverse team of 300+ spread across over 14 geographies is focused on building incredibly transformative AI products to help customers get the most out of their marketing and demand generation efforts.
 
 
 
 
 
 Get ready to embark on an AI venture at
 
 https://pixis.ai/
 
 
 
 
 
 
 
 Why Pixis?
 
 
 
 
 
 
 We at Pixis believe that nothing is impossible, when you fail fast you learn faster, zero hierarchy, put the team above everything else, get constructive feedback that helps you build better products, and disagree if you disbelieve. These values guide us in everything we do, and is reflected in our employees and the products we build together
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 
 As an AI Software Engineer at Pixis, you will be at the forefront of designing and implementing next-generation AI-powered applications that drive real business impact. Your contributions will directly shape our suite of AI-powered products used by industry-leading enterprises.
 
 
 
 
 
 
 Requirements &amp; Skills:
 
 
 
 
 
 
 
 Educational Background
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field
 </li>
 </ul>
 
 
 
 
 
 Professional Experience
 
 
 <ul>
 <li>
 2&ndash;4 years of proven, hands-on experience in full-stack development with exposure to AI/ML projects
 </li>
 <li>
 Demonstrated ability to build and deploy production-grade applications serving thousands of users
 </li>
 <li>
 Experience building AI-powered features or integrating LLM-based services into applications
 </li>
 </ul>
 
 
 
 
 
 Frontend Expertise
 
 
 <ul>
 <li>
 Strong proficiency in React and modern JavaScript/TypeScript
 </li>
 <li>
 Experience with state management libraries (Redux, Zustand, React Query)
 </li>
 <li>
 Knowledge of Next.js, server-side rendering, and static site generation
 </li>
 <li>
 Familiarity with modern CSS frameworks (Tailwind CSS, Material-UI, shadcn/ui)
 </li>
 <li>
 Understanding of responsive design principles and mobile-first development
 </li>
 </ul>
 
 
 
 
 
 Backend Expertise
 
 
 <ul>
 <li>
 Proficiency in at least one backend language: Node.js (Express, NestJS), Go, or Python (FastAPI, Django)
 </li>
 <li>
 Strong understanding of RESTful API design and GraphQL
 </li>
 <li>
 Experience with microservices architecture and event-driven systems
 </li>
 <li>
 Knowledge of authentication/authorization (OAuth, JWT, SSO)
 </li>
 <li>
 Experience with payment integrations (Stripe, Razorpay) and transaction flows is a plus
 </li>
 </ul>
 
 
 
 
 
 Database Knowledge
 
 
 <ul>
 <li>
 Strong experience with relational databases (PostgreSQL, MySQL) including schema design and query optimization
 </li>
 <li>
 Proficiency with NoSQL databases (MongoDB, Redis) for caching and document storage
 </li>
 <li>
 Understanding of database indexing, migrations, and performance tuning
 </li>
 <li>
 Experience with ORMs (Prisma, TypeORM, SQLAlchemy)
 </li>
 </ul>
 
 
 
 
 
 AI/ML Integration
 
 
 <ul>
 <li>
 Experience with LLM APIs (OpenAI, Anthropic Claude, Google Gemini)
 </li>
 <li>
 Knowledge of prompt engineering, context management, and multi-turn conversations
 </li>
 <li>
 Understanding of embedding models, vector databases and semantic search
 </li>
 <li>
 Familiarity with AI frameworks (LangChain, LlamaIndex) is a plus
 </li>
 <li>
 Basic understanding of model training, fine-tuning, and deployment concepts
 </li>
 </ul>
 
 
 
 
 
 Scalability &amp; System Design
 
 
 <ul>
 <li>
 Understanding of distributed systems, caching strategies, and load balancing
 </li>
 <li>
 Experience designing systems for high availability and fault tolerance
 </li>
 <li>
 Knowledge of message queues (RabbitMQ, Kafka, SQS) and pub/sub patterns
 </li>
 <li>
 Ability to conduct system design discussions and architecture reviews
 </li>
 </ul>
 
 
 
 
 
 Soft Skills
 
 
 <ul>
 <li>
 A proactive, innovative mindset paired with a collaborative spirit
 </li>
 <li>
 Exceptional problem-solving skills and the ability to break down complex problems
 </li>
 <li>
 Strong communication skills with the ability to articulate technical concepts to both technical and non-technical stakeholders
 </li>
 <li>
 Passion for staying ahead of technological trends and driving forward-thinking solutions
 </li>
 <li>
 Ability to work in a fast-paced startup environment and adapt to changing priorities
 </li>
 <li>
 Strong sense of ownership and accountability for delivered features
 </li>
 </ul>
 
 
</div>

AI Software Engineer

Capgemini

<div>
 
 Job Description
 
 
 
 Data Scientist Description:
 
 
 Degree and Qualification:
 
 
 <ul>
 <li>
 BE/B.Tech, ME/M.Tech in CSE/IT, Statistics, or a related field.
 </li>
 <li>
 Master&rsquo;s degree in data science, AI, or a related field is preferred.
 
 
 </li>
 </ul>
 Number of Years of Experience as a Data Analyst / Scientist: 3-8 years
 
 
 Language Skills:
 
 
 <ul>
 <li>
 Good communication skills in English, proficiency in German is an added advantage.
 
 
 </li>
 </ul>
 Domain Knowledge:
 
 
 <ul>
 <li>
 Strong understanding of supply chain and supplier performance evaluation processes.
 </li>
 <li>
 Familiarity with procurement, supplier management, inbound processes, and logistics concepts like goods receipt, delivery note, and part numbers.
 </li>
 <li>
 Basic knowledge of plant logistics and operational efficiency.
 
 
 </li>
 </ul>
 Technical Skills: Python, PySpark, SQL, Power BI (Advanced Level), Databricks, Azure/AWS, Machine Learning, Data Visualization, TensorFlow, PyTorch, and deploying ML models in production.
 
 
 Digital Expertise:
 
 
 <ul>
 <li>
 Power BI Desktop (advanced):
 </li>
 <li>
 Advanced knowledge of building dashboards, creating data models, and writing DAX expressions,
 </li>
 <li>
 Ability to develop custom visualizations in Power BI using Python scripts / other suitable methods to create charts and data representations not supported natively by Power BI
 </li>
 <li>
 Ability to write Python scripts to process and transform data within Power Query for advanced analytics and visualization scenarios.
 </li>
 <li>
 Strong design / Power BI UI/ UX skills to ensure Power BI dashboards aligns with business objectives and effectively tells a data-driven story.
 </li>
 <li>
 Power BI Service (advanced):: Experience in publishing, refreshing, and managing reports in Power BI Service, including RLS and data gateways.
 </li>
 <li>
 Machine Learning &amp; AI:
 </li>
 <li>
 Experience in building predictive models using machine learning algorithms such as regression, classification, clustering, and anomaly detection.
 </li>
 <li>
 Familiarity with AI concepts like neural networks, NLP, or reinforcement learning.
 </li>
 <li>
 Data Wrangling &amp; Analysis:
 </li>
 <li>
 Proficiency in Python and popular data libraries like Pandas, NumPy, and Scikit-learn.
 </li>
 <li>
 Experience in PySpark for distributed data processing and large-scale data transformation.
 </li>
 <li>
 Strong SQL skills for querying relational databases, optimizing queries, and handling complex datasets.
 </li>
 <li>
 Communication &amp; Stakeholder Management:
 </li>
 <li>
 Ability to effectively communicate technical insights to non-technical stakeholders.
 </li>
 <li>
 Strong customer-facing communication skills and experience collaborating with cross-functional teams.
 
 
 </li>
 </ul>
 Behavioral / Personal Skills:
 
 
 <ul>
 <li>
 Willingness to learn and apply new skills.
 </li>
 <li>
 High adaptability and readiness to handle unstructured tasks.
 </li>
 <li>
 Strong analytical mindset, with a focus on problem-solving and result-oriented thinking.
 </li>
 <li>
 Team player with excellent communication and interpersonal skills.
 
 
 </li>
 </ul>
 Job Location: Bengaluru
 
 
 Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders.
 
 
 
 Job Description - Grade Specific
 
 
 
 Has more than a year of relevant work experience. Solid understanding of programming concepts, software design and software development principles. Consistently works to direction with minimal supervision, producing accurate and reliable results. Individuals are expected to be able to work on a range of tasks and problems, demonstrating their ability to apply their skills and knowledge. Organises own time to deliver against tasks set by others with a mid term horizon. Works co-operatively with others to achieve team goals and has a direct and positive impact on project performance and make decisions based on their understanding of the situation, not just the rules.
</div>

Data Scientist Engineer

Weekday AI (YC W21)

<div>
 
 This role is for one of the Weekday's clients
 
 
 Salary range: Rs 600000 - Rs 800000 (ie INR 6-8 LPA)
 
 
 
 Min Experience: 0 years
 
 
 Location: Bangalore
 
 
 JobType: full-time
 
 
 We are looking for a passionate and motivated
 
 AI Engineer
 
 to join our growing team. This role is ideal for individuals who are eager to build a career in artificial intelligence and machine learning. You will work closely with data scientists, engineers, and product teams to design, develop, and deploy AI-driven solutions that power intelligent products and business applications.
 
 
 You will contribute to projects across various AI domains &mdash; including natural language processing (NLP), computer vision, recommendation systems, and predictive analytics &mdash; while continuously learning and applying state-of-the-art algorithms and tools.
 
 
 
 Requirements
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 <ul>
 <li>
 AI Model Development: Design, implement, and train machine learning and deep learning models to solve business problems across different use cases.
 </li>
 <li>
 Data Preparation &amp; Feature Engineering: Work with large and diverse datasets to collect, clean, preprocess, and transform data for model training and evaluation.
 </li>
 <li>
 Algorithm Optimization: Experiment with different algorithms, hyperparameters, and architectures to improve model performance and efficiency.
 </li>
 <li>
 Model Deployment &amp; Integration: Collaborate with backend and DevOps teams to deploy AI models into production using frameworks like TensorFlow Serving, PyTorch, ONNX, or Docker.
 </li>
 <li>
 Research &amp; Innovation: Stay up to date with advancements in AI research and tools. Apply innovative techniques from recent papers, open-source projects, or frameworks to improve business processes.
 </li>
 <li>
 Cross-Functional Collaboration: Work with product managers and software engineers to understand business requirements and translate them into technical solutions.
 </li>
 <li>
 Performance Monitoring: Evaluate models on real-world data, monitor drift, and continuously fine-tune and retrain models to maintain accuracy and reliability.
 
 
 </li>
 </ul>
 
 Required Skills &amp; Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Mathematics, or related field.
 </li>
 <li>
 0-3 years of hands-on experience in machine learning, AI development, or data-driven software engineering.
 </li>
 <li>
 Proficiency in programming languages such as Python (preferred) or R, with experience using libraries like NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch.
 </li>
 <li>
 Strong understanding of machine learning algorithms, neural networks, data preprocessing, and statistical analysis.
 </li>
 <li>
 Experience with model evaluation metrics, data visualization tools (Matplotlib, Seaborn, Power BI), and version control systems like Git.
 </li>
 <li>
 Basic understanding of cloud platforms such as AWS, GCP, or Azure, especially their AI/ML services.
 </li>
 <li>
 Familiarity with APIs, REST frameworks, and data pipelines is a plus.
 </li>
 <li>
 Excellent problem-solving ability, curiosity, and eagerness to learn emerging AI technologies.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Exposure to NLP (transformers, text classification, embeddings) or Computer Vision (CNNs, object detection).
 </li>
 <li>
 Internship or project experience involving AI/ML model deployment or end-to-end data workflows.
 </li>
 <li>
 Knowledge of MLOps tools (e.g., MLflow, Kubeflow) or containerization using Docker
 </li>
 </ul>
</div>

AI Engineer

Saviynt

<div>
 
 Saviynt is a leading provider of Cloud Security and Identity Governance solutions.
 
 
 Saviynt enables enterprises to secure applications, data, and infrastructure in a single platform for Cloud (Office 365, AWS, Azure, Salesforce, Workday) and Enterprise (SAP, Oracle EBS). Saviynt is pioneering Identity Governance Administration by integrating advanced risk analytics and intelligence with fine-grained privilege management.
 
 
 In the role of Quality Engineer, you will validating a highly-scalable and extensible SaaS enabled Platform. Working with internal customers on adoption, as well as identifying and resolving problems throughout the project life cycle. A proven track record of working closely with cross-functional teams like Product Management &amp; other teams by understanding the priorities
 
 
 
 
 
 
 What We are Looking For:
 
 <ul>
 <li>
 4 to 6 years of experience in automation and manual testing
 </li>
 <li>
 3+ years of QA automation experience, preferably in Java/Python
 </li>
 <li>
 Understanding of automation test frameworks like Playwright and Pytest
 </li>
 <li>
 Knowledge of AI and modern AI tools and their usage
 </li>
 <li>
 Sound knowledge of SDLC and software testing methodologies
 </li>
 <li>
 In-depth understanding of various software testing types, including Functional Testing, Compatibility Testing, Usability Testing, GUI Performance Testing, and Accessibility Testing
 
 </li>
 </ul>
 <ul>
 <li>
 Ability to analyse business functions, identify, and derive comprehensive test scenarios (positive, negative, regression, upgrade, UAT testing)
 
 </li>
 </ul>
 <ul>
 <li>
 Ability to understand database design and experience in writing SQL queries for testing purposes
 
 </li>
 </ul>
 <ul>
 <li>
 Good experience in API and Integration testing
 </li>
 <li>
 Strong understanding of Agile-Scrum methodologies
 </li>
 <li>
 Working knowledge of issue trackers and project management tools such as
 
 </li>
 </ul>
 JIRA and TestRail.
 <ul>
 <li>
 Excellent problem-solving skills, good communication skills, and a strong team player spirit
 
 </li>
 </ul>
 <ul>
 <li>
 Knowledge of PAM/IAM would be an added advantage
 
 </li>
 </ul>
 
 
 
 
</div>

Senior Engineer, Quality Engineering

Google

<div>
 
 Minimum qualifications:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree or equivalent practical experience.
 </li>
 <li>
 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
 
 
 </li>
 </ul>
 
 Preferred qualifications:
 
 
 
 <ul>
 <li>
 Master's degree or PhD in Computer Science or related technical field.
 </li>
 <li>
 2 years of experience with full stack development, across back-end such as Java, Python, GO, or C++ codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS, etc.
 </li>
 <li>
 2 years of experience with data structures or algorithms in either an academic or industry setting.
 </li>
 <li>
 Experience developing accessible technologies.
 
 
 </li>
 </ul>
 
 About The Job
 
 
 
 Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google&rsquo;s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
 
 
 With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.
 
 
 The AI and Infrastructure team works on the world&rsquo;s toughest problems, redefining what&rsquo;s possible and the possible easy. We empower Google customers by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Googler Cloud customers, and billions of Google users worldwide. We&rsquo;re at the center of amazing work at Google by being the &ldquo;flywheel&rdquo; that enables our advanced AI models, delivers computing power across global services, and offers platforms that developers use to build services.
 
 
 In AI and Infrastructure, we shape the future of hyperscale computing by inventing and creating world-leading future technology, and drive global impact by contributing to Google infrastructure, from software to hardware (including building Vertex AI for Google Cloud). We work on complex technologies at a global scale with key players in the AI and systems space. Join a team of talented individuals who not only work together to keep data centers operating efficiently but also create a legacy of driving innovation by building some of the most complex systems technologies.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Write product or system development code.
 </li>
 <li>
 Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
 </li>
 <li>
 Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
 </li>
 <li>
 Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
 </li>
 <li>
 Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
 
 
 
 </li>
 </ul>
 Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
</div>

Software Engineer III, Full Stack, Google Cloud

<div>
 
 We help the world run better
 
 
 
 At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging &ndash; but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.
 
 
 
 What You&rsquo;ll Do
 
 
 
 As a Machine Learning Engineer, you&rsquo;ll be a technical leader helping architect, scale, and harden SAP&rsquo;s next generation of generative AI services. You&rsquo;ll drive both design and implementation of ML pipelines, orchestrators, and agentic workflows&mdash;turning foundational model research into secure, production-ready enterprise solutions.
 
 
 <ul>
 <li>
 Architect and optimize ML-driven workflows for multi-agent orchestration (LangGraph) across DRP, Experience Builder, and Visual Services.
 </li>
 <li>
 Lead technical design discussions, mentor junior engineers, and set engineering standards for reliability and scale.
 </li>
 <li>
 Evaluate, fine-tune, and integrate foundation models (text, multimodal, diffusion) through SAP&rsquo;s GenAI Hub and third-party providers (e.g., Amazon Bedrock).
 </li>
 <li>
 Design evaluation frameworks and dashboards for quality, safety, and enterprise trust in generative outputs.
 </li>
 <li>
 Partner with product teams to define roadmaps and deliver features that serve Sales, Marketing, Finance, HR, and beyond.
 </li>
 <li>
 Collaborate with cross-functional SAP AI teams on shared infrastructure, governance, and interoperability.
 </li>
 <li>
 Stay at the forefront of ML/AI trends and bring best practices into the team&rsquo;s architecture and execution.
 
 
 </li>
 </ul>
 
 What You Bring
 
 
 
 <ul>
 <li>
 3+ years of professional experience in machine learning engineering, software engineering, or applied research roles.
 </li>
 <li>
 Deep proficiency in Python and familiarity with Go/TypeScript; experience with distributed systems and orchestration frameworks.
 </li>
 <li>
 Strong background in ML/AI, including large language models, embeddings, RAG, and/or multimodal generation.
 </li>
 <li>
 Hands-on experience with cloud-native infrastructure (Kubernetes, AWS/Azure) and modern data stores (Postgres, Cassandra, vector DBs).
 </li>
 <li>
 Proven track record of delivering production AI systems at scale.
 </li>
 <li>
 Strong problem-solving skills and ability to balance innovation with enterprise-grade reliability.
 </li>
 <li>
 Experience mentoring engineers and shaping engineering culture
 
 
 </li>
 </ul>
 
 Meet The Team
 
 
 
 The Experience Generation team at SAP accelerates the path from idea to outcome with three generative-AI services: Deep Research &amp; Planning (strategic plans from enterprise + market data), Experience Builder (AI-forged dashboards and micro-apps), and Visual Services (commerce imagery via diffusion). Together they deliver business value across all SAP lines of business, grounded in governed enterprise data and brand standards.Our platform blends a React/Next.js frontend, a Python + FastAPI backend orchestrating LangGraph sub-agents, and a Gardener-managed Kubernetes runtime. With Postgres, Cassandra, HANA Cloud vector engines, and SAP&rsquo;s Generative AI Hub for model governance, we provide an enterprise-grade substrate for controllable, scalable AI workflows
 
 
 At SAP, senior engineers have the chance to define architecture and strategy for some of the world&rsquo;s most impactful enterprise AI services. You&rsquo;ll shape how businesses plan, build, and visualize with AI&mdash;while working with a collaborative team, trusted cloud platforms, and the latest foundation models. Your leadership will ensure SAP&rsquo;s AI innovations scale securely, reliably, and responsibly
 
 
 #sapaiapp
 
 
 
 Bring out your best
 
 
 
 SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.
 
 
 
 We win with inclusion
 
 
 
 SAP&rsquo;s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone &ndash; regardless of background &ndash; feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.
 
 
 SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com.
 
 
 For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.
 
 
 Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.
 
 
 Successful candidates might be required to undergo a background verification with an external vendor.
 
 
 
 AI Usage in the Recruitment Process
 
 
 
 For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.
 
 
 Please note that any violation of these guidelines may result in disqualification from the hiring process.
 
 
 Requisition ID: 434895 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations:
 
 
</div>

Machine Learning Engineer

Intuit

<div>
 
 
 
 Staff Software Engineer - C# .NET
 
 
 
 
 
 
 
 
 Overview
 
 
 
 We are looking for a
 
 Staff Software Engineer
 
 to help us build and evolve the core backend systems that power our next-generation tax platform. This role is ideal for someone who thrives at the intersection of
 
 high-scale backend engineering
 
 , and
 
 language runtime integration
 
 .
 
 
 You will work on the systems that underpin our business-critical tax calculation engines, contributing to the scalability, reliability, and performance of services that support critical tax logic execution.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Designs, develops, tests, deploys, maintains, and improves software solutions.
 </li>
 <li>
 Solves complex problems by leveraging a variety of technologies.
 </li>
 <li>
 Driven to achieve results and committed to producing high-quality code.
 </li>
 <li>
 Leads the process of gathering functional requirements, developing technical specifications, and managing project and test plans.
 </li>
 <li>
 Demonstrates a strong interest and aptitude for learning new coding languages as necessary.
 </li>
 <li>
 Functions as a technical leader and domain expert, beginning to shape technology and product strategy. Makes informed decisions at a local level, considering both immediate and long-term implications, as well as business impact.
 </li>
 <li>
 Utilizes data to inform product and technical decisions within their area of responsibility.
 </li>
 <li>
 Enhances team knowledge, skills, and engagement through collaborative technical workshops and other relevant forums.
 </li>
 <li>
 Collaborate with compiler/runtime engineers and AI/ML teams to support intelligent language tooling.
 </li>
 <li>
 Mentors and evaluates engineers, actively fostering and sustaining a robust talent pipeline. Regularly participates in performance reviews and calibration sessions.
 </li>
 <li>
 A quick and eager learner who actively seeks opportunities to contribute to other Intuit codebases and open-source projects.
 </li>
 <li>
 Possesses expertise in cloud technologies and in architecting and delivering highly scalable and resilient systems.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 10+ years of professional experience in backend or systems-level software development.
 </li>
 <li>
 Proven experience building
 
 scalable, distributed backend systems
 
 in production environments.
 </li>
 <li>
 Strong
 
 designing and developing Desktop solutions expertise
 
 using Delphi 12, XE5, , C#, .Net and related technologies
 </li>
 <li>
 Experience with
 
 Desktop Applications Development (WPF, WCF, Winforms).
 
 </li>
 <li>
 Strong knowledge and hands on experience on scripting languages like React JS is preferred.
 </li>
 <li>
 Experience in developing and deploying code to production on AWS and providing analytics and monitoring for the application.
 </li>
 <li>
 Deep understanding of building highly available infrastructure using public cloud technologies and native services.
 </li>
 <li>
 Low-level experience with JVM, CLR, or other language runtime environments.
 </li>
 <li>
 Solid understanding of performance optimization, multithreading, memory management, and networking.
 </li>
 <li>
 Experience with modern CI/CD pipelines, observability tools, and DevOps best practices.
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications
 
 
 <ul>
 <li>
 Exposure to compiler or interpreter internals is a plus, but not required.
 </li>
 <li>
 Familiarity with containerized environments (Docker, Kubernetes) and cloud platforms.
 </li>
 <li>
 Knowledge of language tooling, custom DSLs, or domain-specific platforms is a bonus.
 </li>
 <li>
 Strong communication skills and a collaborative, growth-oriented mindset.
 </li>
 </ul>
 
 
</div>

Staff Software Engineer

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