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Chubb

<div>
 
 
 About Chubb
 
 
 
 Chubb is a world leader in insurance. With operations in 54 countries and territories, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance and life insurance to a diverse group of clients. The company is defined by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength and local operations globally. Parent company Chubb Limited is listed on the New York Stock Exchange (NYSE: CB) and is a component of the S&amp;P 500 index. Chubb employs approximately 43,000 people worldwide. Additional information can be found at: www.chubb.com.
 
 
 
 
 
 
 About Chubb India
 
 
 
 At Chubb India, we are on an exciting journey of digital transformation driven by a commitment to engineering excellence and analytics. We are proud to share that we have been officially certified as a Great Place to Work&reg; for the third consecutive year, a reflection of the culture at Chubb where we believe in fostering an environment where everyone can thrive, innovate, and grow.
 
 
 With a team of over 2500 talented professionals, we encourage a start-up mindset that promotes collaboration, diverse perspectives, and a solution-driven attitude. We are dedicated to building expertise in engineering, analytics, and automation, empowering our teams to excel in a dynamic digital landscape.
 
 
 We offer an environment where you will be part of an organization that is dedicated to solving real-world challenges in the insurance industry. Together, we will work to shape the future through innovation and continuous learning.
 
 
 
 
 
 
 Position Details:
 
 
 <ul>
 <li>
 
 Job Title
 
 : Senior/Lead AI/ML Engineer
 </li>
 <li>
 
 Function/Department
 
 : Analytics
 </li>
 <li>
 
 Location
 
 : Bangalore, India
 </li>
 <li>
 
 Employment Type:
 
 Full-time
 </li>
 </ul>
 
 
 Role Overview:
 
 
 
 As an AI Engineer, you&rsquo;ll be working with a global team of AI and machine learning practitioners, software engineers, and business and solution architects to implement state of the art - AI enabled digital solutions to transform the P&amp;C insurance globally. This position offers the opportunity to develop, deploy, and optimize Large Language Models (LLMs)
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Work closely with team of AI engineers to design, build, and serve LLMs to solve complex business challenges using Azure (CPU &amp; GPU environments)
 </li>
 <li>
 Researching &amp; implementing state of the art LLM techniques including pre-training, fine-tuning, preference alignment, and deployment while also focusing on prompt engineering and generative AI more broadly
 </li>
 <li>
 Heavily focusing on developing novel data sets that enable LLMs to perform new tasks as well as tooling/platforming to collect these samples at scale. You will need strong python data fundamentals coupled with a software mindset for making data processing and collection pipelines repeatable, scalable, and high quality.
 </li>
 <li>
 Ensure high quality code that meets business objectives, quality standards and development guidelines.
 </li>
 <li>
 Building reusable pipelines, processes, and tools to streamline LLM and generative AI workflows
 </li>
 <li>
 Manage project stakeholder expectations and issue communications on progress.
 </li>
 <li>
 React to shifting priorities without compromising deadlines and momentum.
 </li>
 </ul>
 
 
 
 
 
 Skills and Qualifications:
 
 
 <ul>
 <li>
 3 + years&rsquo; experience in AI/ML.
 </li>
 <li>
 Experience in LLM Engineering &ndash; pretraining, post-training /alignment
 </li>
 <li>
 Deep expertise in writing and reviewing production code in Python.
 </li>
 <li>
 Understanding the development lifecycle for LLMs&mdash; developing data sets for pre-training, instruction tuning, and preference alignment alongside the modelling techniques for each stage and LLM deployment is as MAJOR plus.
 </li>
 <li>
 Multi-disciplinary approach to problem solving, including
 
 excellent
 
 interpersonal and communication skills (written and verbal). This includes crisply talking about technical solutions while being able to collaborate with business architects effectively.
 </li>
 <li>
 Strong knowledge of LLM frameworks and libraries (such as transformers, trl, deepspeed, PyTorch), and exposure to various ML techniques and their practical implementation in production at large scale.
 </li>
 <li>
 Experience on distributed, high throughput and low latency architectures
 </li>
 <li>
 Strong fundamentals in NLP techniques for text representation, semantic extraction techniques, data structures and modeling.
 </li>
 <li>
 Experience building software on top of major container technology (Kubernetes, Docker etc.)
 </li>
 </ul>
 
 
 
 
 
 Why Chubb?
 
 
 
 Join Chubb to be part of a leading global insurance company!
 
 
 Our constant focus on employee experience along with a start-up-like culture empowers you to achieve impactful results.
 
 <ul>
 <li>
 
 Industry leader:
 
 Chubb is a world leader in the insurance industry, powered by underwriting and engineering excellence
 </li>
 <li>
 
 A Great Place to work:
 
 Chubb India has been recognized as a Great Place to Work&reg; for the years 2023-2024 and 2024-2025
 </li>
 <li>
 
 Laser focus on excellence
 
 : At Chubb we pride ourselves on our culture of greatness where excellence is a mindset and a way of being. We constantly seek new and innovative ways to excel at work and deliver outstanding results
 </li>
 <li>
 
 Start-Up Culture
 
 : Embracing the spirit of a start-up, our focus on speed and agility enables us to respond swiftly to market requirements, while a culture of ownership empowers employees to drive results that matter
 </li>
 <li>
 
 Growth and success
 
 : As we continue to grow, we are steadfast in our commitment to provide our employees with the best work experience, enabling them to advance their careers in a conducive environment
 </li>
 </ul>
 
 
 
 
 
 Employee Benefits
 
 
 
 Our company offers a comprehensive benefits package designed to support our employees&rsquo; health, well-being, and professional growth. Employees enjoy flexible work options, generous paid time off, and robust health coverage, including treatment for dental and vision related requirements. We invest in the future of our employees through continuous learning opportunities and career advancement programs, while fostering a supportive and inclusive work environment. Our benefits include:
 
 <ul>
 <li>
 Savings and Investment plans: We provide specialized benefits like Corporate NPS (National Pension Scheme), Employee Stock Purchase Plan (ESPP), Long-Term Incentive Plan (LTIP), Retiral Benefits and Car Lease that help employees optimally plan their finances.
 </li>
 <li>
 Upskilling and career growth opportunities: With a focus on continuous learning, we offer customized programs that support upskilling like Education Reimbursement Programs, Certification programs and access to global learning programs.
 </li>
 <li>
 Health and Welfare Benefits: We care about our employees&rsquo; well-being in and out of work and have benefits like Hybrid Work Environment, Employee Assistance Program (EAP), Yearly Free Health campaigns and comprehensive Insurance benefits.
 </li>
 </ul>
 
 
</div>

Senior/Lead AI/ML Engineer

Kuku FM

<div>
 
 About The Role
 
 
 
 As a Machine Learning Engineer II in Recommendation, you will be instrumental in advancing our recommendation algorithms and content embeddings, directly driving the growth and success of our Video and Audio Stories Platform.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Recommendation Systems: Design and develop large-scale recommendation systems serving millions of users, with a strong focus on personalization, scalability, and efficiency.
 </li>
 <li>
 ML Execution: Drive the ML execution, specifically around feed ranking and recall oriented candidate generation systems.
 </li>
 <li>
 Technical Ownership: Provide guidance in ML model formulation, experimentation, and deployment. Take end-to-end ownership of ML systems, including key user satisfaction metrics.
 </li>
 <li>
 Architecture &amp; Strategy: Contribute to the architectural strategy and design of complex ML systems that meet the needs of users, and content stakeholders.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Model Training &amp; Serving: Hands-on experience training and serving large-scale ML models using frameworks such as PyTorch or TensorFlow.
 </li>
 <li>
 Production Experience: Proven track record of productionising machine learning models, including designing and managing end-to-end ML systems and data pipelines.
 </li>
 <li>
 Recommendation Expertise: Direct experience in building and applying large-scale (million+ users) machine learning solutions for feed ranking and personalized recommendations.
 </li>
 <li>
 Research Awareness: Stay up-to-date with the latest advancements in recommender systems, data engineering, and applied machine learning.
 </li>
 <li>
 Education &amp; Experience: Bachelor&rsquo;s or Master&rsquo;s in Computer Science, Machine Learning, Statistics, or a related engineering field, with 2-4 years of relevant experience.
 
 
 </li>
 </ul>
 
 About KUKU
 
 
 
 Founded in 2018, KUKU is India&rsquo;s leading storytelling platform, offering a vast digital library of audio stories, short courses, and microdramas. KUKU aims to be India&rsquo;s largest cultural exporter of stories, culture and history to the world with a firm belief in &ldquo;Create In India, Create For The World&rdquo;.
 
 
 We deliver immersive entertainment and education through our OTT platforms: Kuku FM, Guru, Kuku TV, and more. With a mission to provide high-quality, personalized stories across genres from entertainment across multiple formats and languages, KUKU continues to push boundaries and redefine India&rsquo;s entertainment industry.
 
 
 🌐 Website: www.kukufm.com
 
 
 📱 Android App: Google Play
 
 
 📱 iOS App: App Store
 
 
 🔗 LinkedIn: KUKU
 
 
 📢 Ready to make an impact? Apply now!
 
 
 Skills: production experience,research awareness,model training &amp; serving,recommendation expertise
</div>

Machine Learning Engineer II

CirrusLabs

<div>
 
 Experience : 8+ Years
 
 
 
 Mandatory skills: Python, Gen AI, traditional ML, core Data scientist, ML Ops, Agentic AI
 
 
 
 
 
 
 
 Position Overview
 
 
 
 We are seeking an experienced AI Architect to join our dynamic team. This role combines deep technical expertise in traditional statistics, classical machine learning, and modern AI with full-stack development capabilities to build end-to-end intelligent systems. You'll work on revolutionary projects involving generative AI, large language models, and advanced data science applications.
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 
 AI/ML Development &amp; Data Science:
 
 Design, develop, and deploy machine learning models ranging from classical algorithms to deep learning for production environments
 </li>
 <li>
 Apply traditional statistical methods including hypothesis testing, regression analysis, time series forecasting, and experimental design
 </li>
 <li>
 Build and optimize large language model applications including fine-tuning, prompt engineering, and model evaluation
 </li>
 <li>
 Implement Retrieval Augmented Generation (RAG) systems for enhanced AI capabilities
 </li>
 <li>
 Conduct advanced data analysis, statistical modeling, A/B testing, and predictive analytics using both classical and modern techniques
 </li>
 <li>
 Research and prototype cutting-edge generative AI solutions
 </li>
 <li>
 
 Traditional ML &amp; Statistics:
 
 Implement classical machine learning algorithms including linear/logistic regression, decision trees, random forests, SVM, clustering, and ensemble methods
 </li>
 <li>
 Perform feature engineering, selection, and dimensionality reduction techniques
 </li>
 <li>
 Conduct statistical inference, confidence intervals, and significance testing
 </li>
 <li>
 Design and analyze controlled experiments and observational studies
 </li>
 <li>
 Apply Bayesian methods and probabilistic modeling approaches
 </li>
 <li>
 
 Full Stack Development:
 
 Develop scalable front-end applications using modern frameworks (React, Vue.js, Angular)
 </li>
 <li>
 Build robust backend services and APIs using Python, Node.js, or similar technologies
 </li>
 <li>
 Design and implement database solutions (SQL/NoSQL) optimized for ML workloads
 </li>
 <li>
 Create intuitive user interfaces for AI-powered applications and statistical dashboards
 </li>
 <li>
 
 MLOps &amp; Infrastructure:
 
 Establish and maintain ML pipelines for model training, validation, and deployment
 </li>
 <li>
 Implement CI/CD workflows for ML models using tools like MLflow, Kubeflow, or similar
 </li>
 <li>
 Monitor model performance, drift detection, and automated retraining systems
 </li>
 <li>
 Deploy and scale ML solutions using cloud platforms (AWS, GCP, Azure)
 </li>
 <li>
 Containerize applications using Docker and orchestrate with Kubernetes
 </li>
 <li>
 
 Collaboration &amp; Leadership:
 
 Work closely with data scientists, product managers, and engineering teams
 </li>
 <li>
 Mentor junior engineers and contribute to technical decision-making
 </li>
 <li>
 Participate in code reviews and maintain high development standards
 </li>
 <li>
 Stay current with latest AI/ML trends and technologies
 </li>
 </ul>
 
 
 Required Qualifications
 
 
 <ul>
 <li>
 
 Experience &amp; Education:
 
 7-8 years of professional software development experience
 </li>
 <li>
 Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Machine Learning, Data Science, or related field
 </li>
 <li>
 6+ years of hands-on AI/ML experience in production environments
 </li>
 <li>
 
 Technical Skills:Programming:
 
 Expert proficiency in Python, strong experience with JavaScript/TypeScript, R is a plus
 </li>
 <li>
 
 Traditional ML:
 
 Scikit-learn, XGBoost, LightGBM, classical algorithms and ensemble methods
 </li>
 <li>
 
 Statistics:
 
 Hypothesis testing, regression analysis, ANOVA, time series analysis, experimental design, Bayesian inference
 </li>
 <li>
 
 Statistical Tools:
 
 Experience with R, SAS, SPSS, or similar statistical software packages
 </li>
 <li>
 
 Deep Learning:
 
 TensorFlow, PyTorch, neural networks, computer vision, NLP
 </li>
 <li>
 
 LLM Experience:
 
 Working with GPT, Claude, Llama, or similar models; experience with fine-tuning and prompt engineering
 </li>
 <li>
 
 RAG Implementation:
 
 Vector databases (Pinecone, Weaviate, Chroma), embedding models, semantic search
 </li>
 <li>
 
 Data Science:
 
 Pandas, NumPy, statistical analysis, data visualization (Matplotlib, Plotly, Seaborn), feature engineering
 </li>
 <li>
 
 Full Stack:
 
 React/Vue.js, Node.js/FastAPI, REST/GraphQL APIs
 </li>
 <li>
 
 Databases:
 
 PostgreSQL, MongoDB, Redis, vector databases
 </li>
 <li>
 
 MLOps:
 
 Docker, Kubernetes, CI/CD, model versioning, monitoring tools
 </li>
 <li>
 
 Cloud Platforms:
 
 AWS/GCP/Azure, serverless architectures
 </li>
 <li>
 
 Soft Skills:
 
 Strong problem-solving and analytical thinking
 </li>
 <li>
 Excellent communication and collaboration abilities
 </li>
 <li>
 Self-motivated with ability to work in fast-paced environments
 </li>
 <li>
 Experience with agile development methodologies
 </li>
 <li>
 
 Preferred Qualifications
 
 Experience with causal inference methods and econometric techniques
 </li>
 <li>
 Knowledge of distributed computing frameworks (Spark, Dask)
 </li>
 <li>
 Experience with edge AI and model optimization techniques
 </li>
 <li>
 Publications in AI/ML/Statistics conferences or journals
 </li>
 <li>
 Open source contributions to ML/statistical projects
 </li>
 <li>
 Experience with advanced statistical modeling and multivariate analysis
 </li>
 <li>
 Familiarity with operations research and optimization techniques
 </li>
 </ul>
 
 
</div>

Data Scientist

Weekday AI (YC W21)

<div>
 This role is for one of Weekday's clients
 
 
 Location: Bangalore
 
 
 JobType: full-time
 
 
 
 Requirements
 
 
 
 This is your chance to become a
 
 Co-Founder &amp; CTO.
 
 You will not only lead technology but become a true partner in changing the future of voice AI in business communication an industry ripe for disruption. Our platform already powers campaigns totaling over
 
 50,000 calls
 
 and helps clients unlock unprecedented sales efficiency.
 
 
 
 What You Will Own
 
 
 
 <ul>
 <li>
 Lead the technical vision and execution to build and scale state-of-the-art voice AI systems that rival global leaders
 </li>
 <li>
 Architect advanced AI/ML models focused on voice, enabling human-like conversations that automate sales, bookings, lead qualification, and more
 </li>
 <li>
 Drive product innovation that allows businesses to build powerful voice agents in minutes and deliver industry-leading customization for complex use cases
 </li>
 <li>
 Build and mentor a high-caliber engineering team, fostering an ownership culture driven by impact and innovation
 </li>
 <li>
 Partner with the team to shape company strategy, product roadmap, and customer success
 </li>
 <li>
 Ensure robust, scalable infrastructure to support growth and real-time AI processing at scale.
 
 
 </li>
 </ul>
 
 What We are Looking For
 
 
 
 <ul>
 <li>
 A data scientist and AI/ML engineer with hands-on expertise in voice AI, natural language processing, and scalable machine learning, model fine-tuning
 </li>
 <li>
 Strong startup experience and an entrepreneurial mindset, comfortable with rapid iteration, ambiguity, and doing whatever it takes to win
 </li>
 <li>
 Passion for building technology that changes the world by transforming customer engagement through AI
 </li>
 <li>
 Proven ability to deploy AI models into production and fine-tune them using real-world data, ideally demonstrated by successes in voice or conversational AI
 </li>
 <li>
 Hands-on technical leader who thrives in a co-founder role, balancing visionary strategy with deep technical execution
 </li>
 <li>
 Equity-based partner aligned with our journey and rewards as we grow from an exciting startup to an industry disruptor.
 
 
 </li>
 </ul>
 
 What You will Join
 
 
 
 <ul>
 <li>
 A high-impact startup with real customers and proven traction.
 </li>
 <li>
 Projects with expressions of interest from top hotel chains already arriving
 </li>
 <li>
 A culture of innovation, ownership, and ambition, a place where your technical expertise drives not just product but company destiny
 </li>
 <li>
 An opportunity to make history together in the Indian and global AI voice ecosystem alongside passionate team
 </li>
 <li>
 Interested in shaping the future of voice AI and making a lasting global impact? Connect with us at pintu@calllive.ai to embark on this transformative journey together
 </li>
 </ul>
</div>

Co-Founder & CTO

Blue Yonder

<div>
 
 Scope
 
 
 
 You will work closely with customers, product teams, and engineering to:
 
 
 <ul>
 <li>
 Onboard new clients and configure solutions to their data and business needs.
 </li>
 <li>
 Validate data quality and integrity.
 </li>
 <li>
 Deploy and monitor machine learning models in production.
 </li>
 <li>
 Execute existing ML pipelines to train new models and assess their quality.
 </li>
 <li>
 Interpret model performance and provide insights to both customers and internal teams.
 </li>
 <li>
 Communicate technical concepts clearly to non-technical stakeholders.
 </li>
 <li>
 Provide actionable feedback to product and R&amp;D teams based on field experience.
 
 
 </li>
 </ul>
 
 Our Technical Environment
 
 
 
 <ul>
 <li>
 Languages: Python 3.*, SQL
 </li>
 <li>
 Frameworks/Tools: TensorFlow, PyTorch, Pandas, NumPy, Jupyter, Flask
 </li>
 <li>
 Big Data &amp; Cloud: Snowflake, Apache Beam/Spark, Azure, GCP
 </li>
 <li>
 DevOps &amp; Monitoring: Docker, Kubernetes, Kafka, Pub/Sub, Jenkins, Git, TFX, Dataflow
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Collaborate with customers and internal teams to understand data, business context, and deployment requirements.
 </li>
 <li>
 Perform data validation, enrichment, and transformation to ensure readiness for modelling.
 </li>
 <li>
 Execute pre-built ML pipelines to train and retrain models using customer data.
 </li>
 <li>
 Evaluate and interpret model performance metrics to ensure quality and stability.
 </li>
 <li>
 Monitor model behaviour and data drift in production environments.
 </li>
 <li>
 Troubleshoot issues related to data pipelines, model behaviour, and system integration.
 </li>
 <li>
 Clearly explain model behaviour, configuration, and performance to customer stakeholders.
 </li>
 <li>
 Gather insights from customer engagements and provide structured feedback to product and engineering teams to drive product enhancements.
 </li>
 <li>
 Document processes and contribute to playbooks for scalable onboarding.
 </li>
 <li>
 Train and mentor junior PS team members.
 
 
 </li>
 </ul>
 
 What We&rsquo;re Looking For
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or master&rsquo;s in computer science, Data Science, or related field with 5 to 10yrs of experience
 </li>
 <li>
 Strong understanding of machine learning and data science fundamentals.
 </li>
 <li>
 Proven experience deploying and supporting ML models in production.
 </li>
 <li>
 Experience executing ML pipelines and interpreting model performance.
 </li>
 <li>
 Excellent problem-solving and debugging skills.
 </li>
 <li>
 Strong communication skills with the ability to explain complex technical topics to non-technical audiences.
 </li>
 <li>
 Experience working directly with customers or cross-functional teams.
 </li>
 <li>
 Familiarity with monitoring tools and best practices for production ML systems.
 </li>
 <li>
 Experience with cloud platforms (Azure or GCP preferred).
 </li>
 <li>
 Bonus: Experience in supply chain, retail, or similar domains.
 
 
 </li>
 </ul>
 
 Our Values
 
 
 
 If you want to know the heart of a company, take a look at their values. Ours unite us. They are what drive our success &ndash; and the success of our customers. Does your heart beat like ours? Find out here: Core Values
 
 
 All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.
</div>

Data Scientist - (Python, Kubernetes, Numpy, Professional Services)

Microsoft

<div>
 Core AI is at the forefront of Microsoft&rsquo;s mission to redefine how software is built and experienced. We are responsible for building the foundational platforms, services, programming models, and developer experiences that power the next generation of applications using Generative AI. Our work enables developers and enterprises to harness the full potential of AI to create intelligent, adaptive, and transformative software.
 
 
 The Future of Scalable Software Engineering (FoSSE) team&rsquo;s objective is to build capabilities to enable AI-enabled modernization of very large code bases on a large scale and with very high quality.
 
 
 
 Job Purpose Overview
 
 
 
 In this role, you will help define the future of software development. You will help build and combine static analysis and ML tools to help AI handle the scale of large code bases. You will work with state-of-the-art LLMs and reasoning models, very large code bases, and use data from pull requests, static analysis warnings reports, and developer feedback from AI recommendations to build AI agents that scale.
 
 
 You will grow by developing both static analysis and ML based techniques that are needed to build coding agents that scale to large code bases.
 
 
 You will be onsite 3 days a week and learn and grow through working with talented colleagues.
 
 
 
 Standard Company, Culture, Candidate Value Proposition &ndash; Use The Following
 
 
 
 Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more, and we&rsquo;re dedicated to this mission across every aspect of our company. Our culture is centered on embracing a growth mindset and encouraging teams and leaders to bring their best each day. Join us and help shape the future of the world.
 
 
 
 Responsibilities
 
 
 
 
 Coding
 
 
 
 Creates and implements code for a product, service, or feature, reusing code as applicable. Writes and learns to create code that is extensible and maintainable. Considers diagnosability, reliability, and maintainability with few defects, and understands when the code is ready to be shared and delivered. Applies coding patterns and best practices to write code.
 
 
 
 
 
 
 
 Machine Learning
 
 
 
 Knowledge and implementation of an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed.
 
 
 
 Algorithm Design and Implementation
 
 
 
 The ability to design, analyze, implement, optimize, profile and experimentally evaluate computer algorithms. Includes knowledge of practical applications of algorithms in software engineering.
 
 
 
 Qualifications
 
 
 
 Job Description:
 
 Qualifications (Required/Minimum and Preferred)
 
 
 
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's Degree in Computer Science or related technical field AND 3+ years experience or Master&rsquo;s Degree with 1+ years of experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
 </li>
 <li>
 OR equivalent experience
 </li>
 <li>
 Excellent technical design, problem solving and debugging skills
 </li>
 <li>
 Excellent communication and collaboration skills
 </li>
 <li>
 Experience in designing and developing LLM-based tools.
 </li>
 <li>
 Experience in building data-driven techniques that apply AI and ML to solve problems.
 
 
 </li>
 </ul>
 Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
</div>

Software Engineer II

Google

<div>
 
 Minimum qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's degree or equivalent practical experience.
 </li>
 <li>
 8 years of experience with one or more general purpose programming languages like Java, C/C++ or Python.
 
 
 </li>
 </ul>
 
 Preferred qualifications:
 
 
 
 <ul>
 <li>
 10 years of experience in Artificial Intelligence/Machine Learning (AI/ML).
 
 
 </li>
 </ul>
 
 About the job
 
 Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. 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 Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. 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.
 
 
 In this role, you will be responsible to build systems that will impact Security, Privacy and compliance products/technologies. You will define and advocate new projects that will have an impact on customers. You will collaborate with multiple teams (e.g., engineering, product, business) for defining, scoping, and executing these projects.Google Cloud accelerates every organization&rsquo;s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google&rsquo;s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Be a technical lead in Regulated Cloud Platform Services (RCPS) team.
 </li>
 <li>
 Lead a full-stack team driving feature for Google Cloud Platform's (GCP's) security products-compliance manager.
 </li>
 <li>
 Design, develop, test, deploy, maintain and enhance the platform.
 </li>
 <li>
 Partner and collaborate with engineering teams, managers, product management and program management to ensure the development of quality solutions.
 </li>
 <li>
 Collaborate, mentor and develop team members.
 
 
 
 </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>

Staff Software Engineer

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