Sigmoid Analytics is a leading Data solutions company backed by Sequoia Capital. We offer best in- end-to-end data value chain spanning across Data Science, Data Engineering and Data Ops. With data and technology at the core of our solutions, we are solving some of the toughest problems out there. Our culture is modelled around expertise and mutual respect with a team first mindset. You’ll work with teams that push the boundaries of what-is-possible and build solutions that energize and inspire. Offices : New York | Dallas | San Francisco | Lima | Bengaluru The below role is for our Bengaluru office. About the Role : You will work on a broad range of cutting-edge data science and machine learning problems across a variety of industries. You will be engaging with clients to understand their business context. If you are passionate to work on complex unstructured business problems that can be solved using data science and machine learning, we would like to talk to you. Role: ALDS Mandate Skills & Competencies: Experience in Programming (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 c
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P-78 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. As a software engineer with a backend focus, you will work with your team to build infrastructure and products for the Databricks platform at scale. The impact you'll have: Our backend teams span many domains, from our core compute fabric resource management infrastructure, to service platforms, to machine learning infrastructure. For instance, you might work on challenges such as: Resource management infrastructure powering the big data and machine learning workloads on the Databricks platform in a scalable, secure, and cloud-agnostic way Develop reliable, scalable services and client libraries that work with massive amounts of data on the cloud, across geographic regions and Cloud providers Build tools to allow Databricks engineers to operate their services across different clouds and environments Build services, products and infrastructure at the intersection of machine learning and distributed systems. What we look for: BS (or higher) in Computer Science, or a related field 5+ years of production level experience in one of: Java, Scala, C++, or similar language. Experience developing large-scale distributed systems. Experience working on a SaaS platform or with Service-Oriented Architectures. Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, or Kubernetes. Experience with security and systems that handle sen
P-57 At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best Data Intelligence Platform, so our customers can focus on the high value challenges that are central to their own missions. Founded in 2013 by the original creators of Apache Spark, Databricks has grown from a tiny corner office in Berkeley, California to a global organization with over 1000 employees. Thousands of organizations, from small to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest growing SaaS companies in the world. Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security and scale that is critical to making customers successful on our platform. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above. As a Data Scientist on the Data Team, you will help build a data-driven culture within Databricks by helping solve product and business challenges. The Data team also functions as an in-house, production "customer" that dogfoods Databricks and drives the future direction of the products. The impact you will have: Shape the direction of some of our key data science areas - segmentation, recommendation systems, forecasting, product analytics, churn prediction and insights. Work closely with Engineering, Product Management, Sales and Customer Success to understand product usage patterns and trends and make data-driven decisions, recommendations a
About Appier Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information. Task of the role Responsible for day-to-day customer care and administration of Appier’s products. Respond to escalated technical questions about Appier’s products globally by using written communication channels. Troubleshoot technical issues and solve the issues by close communication with developers. Develop internal tools and scripts to streamline operations and visualize/analyze data. Provide advice and solution of Appier’s products to customers and colleagues from technical aspects, which may include AI-powered solutions with help from the data science team. Contribute to new feature enhancements. (plus) Strong oral and written communication skills in Japanese or Korean or English. (optional) Analyze data and give good insights to customers and colleagues. (optional) Proactively conduct close communication with customers and understand underlying requirements to provide deliverable solutions. (optional) Proactively translate business requirements and consolidate into product features for product developments. About you [Essential] Good understanding of programming concepts (such as Python or JavaScript) to assist with troubleshooting and automation as needed. Familiarity with data engineering workflows (e.g., ETL processes, data storage solutions) and ability to work with related tools. Experience navigating and troubleshooting cloud environments. Strong oral and written communication skills in English (professional level). Ability to use AI tools in daily works, prompt engineering or troubleshootings. Ability to research, an
P-59 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. Modern data analysis employs sophisticated methods such as machine learning that go well beyond the roll-up and drill-down capabilities of traditional SQL query engines. As a software engineer on the Runtime team at Databricks, you will be building the next generation distributed data storage and processing systems that can outperform specialized SQL query engines in relational query performance, yet provide the expressiveness and programming abstractions to support diverse workloads ranging from ETL to data science. Below are some example projects: Apache Spark™ : Develop the de facto open source standard framework for big data. Data Plane Storage : Provide reliable and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, Azure Blob Store. Delta Lake : A storage management system that combines the scale and cost-efficiency of data lakes, the performance and reliability of a data warehouse, and the low latency of streaming. Its higher level abstractions and guarantees, including ACID transactions and time travel, drastically simplify the complexity of real-world data engineering architecture. Delta Pipelines : It's difficult to manage even a single data engineering pipeline. The goal of the Delta Pipelines project is to make it simple and poss
Présentation du poste : Au sein de l'équipe Data Science d'Artefact, vous rejoignez une communauté d'experts en IA et Data en tant que Manager et référent technique. Rattaché(e) au CTO, vous jouez un rôle central dans le cadrage, la conception, le déploiement et le passage à l'échelle de solutions d'IA à fort impact business pour nos clients grands comptes. Ce qu’on attend de vous : En tant que Manager, vous garantissez l'excellence technique et la valeur délivrée sur vos projets (ML, GenAI, MLOps) tout en assurant l'encadrement, le coaching et le développement de carrière des Data Scientists. Vous êtes l'interlocuteur privilégié des décideurs (C-level), participez au rayonnement de l'expertise Artefact et pilotez la croissance de l'équipe. Vos missions : Piloter des projets IA de bout en bout : du cadrage des cas d'usage avec les parties prenantes business jusqu'à la mise en production de solutions mesurables. Définir et garantir l'architecture technique des solutions : choix méthodologiques, validation de la donnée, industrialisation en environnement Cloud et application des meilleures pratiques MLOps & Software Engineering. Accompagner, mentorer et faire grandir les Data Scientists : suivi de performance, planes de développement de carrière, staffing et maintien du bien-être de l'équipe au quotidien. Être le référent technique et partenaire de confiance des clients : vulgariser les concepts IA complexes, évaluer les risques, le ROI et la faisabilité auprès des équipes C-level et opérationnelles. Développer l'expertise technique interne : tester de nouvelles approches IA/GenAI, créer des accélérateurs réutilisables (outils, modules) et maintenir une veille technologique active. Inculquer une culture de la rigueur et de la collaboration : organiser des revues de code, des ateliers de partage de connaissances et favoriser les synergies entre Data Scientists, Data Engineers et équipes métier. Profil recherché : Expérience & Leadership : 5 ans ou plus d'expéri
Présentation du poste : Au sein de l'équipe Data Science d'Artefact, vous rejoignez une communauté d'experts en Data & IA intervenant auprès de grands comptes mondiaux. Dans un contexte de forte accélération autour de la GenAI et du Machine Learning, vous jouez un rôle clé dans la conception, la livraison et le passage à l'échelle de solutions IA à fort impact business. Ce qu’on attend de vous : En tant que profil Senior, vous garantissez l'excellence technique sur vos projets (robustesse, MLOps, passage en production) tout en servant de référent auprès de nos clients. Vous jouez un rôle moteur dans l'équipe en mentorant des Data Scientists plus juniors et en participant au développement d'accélérateurs internes. Vos missions : Piloter la livraison de projets IA de bout en bout : du cadrage des cas d'usage avec les équipes métier jusqu'à la mise en production de solutions ML ou GenAI mesurables. Concevoir des architectures et pipelines IA robustes et scalables en appliquant les meilleures pratiques de Software Engineering et de MLOps (tests, déploiement, maintenabilité). Servir de conseiller de confiance auprès des clients : vulgariser les approches IA de façon claire et pragmatique, évaluer la faisabilité, les risques et le ROI. Mentorer et faire monter en compétences les Data Scientists juniors à travers des retours constructifs, des revues de code et du coaching au quotidien. Contribuer au développement de l'expertise interne : créer des outils/accélérateurs réutilisables, animer des ateliers de partage et maintenir une veille technologique active. Explorer et appliquer des techniques IA avancées pour résoudre des problématiques complexes et non défrichées. Profil recherché : Expérience & Mindset : 3 ans ou plus d'expérience concrète dans le développement et le déploiement de solutions Data/IA en environnement Cloud. Expertise Technique : Solides compétences en Machine Learning appliqué, IA Générative, ainsi qu'une maîtrise des principes de Software Engin
A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role As a member of the Compute Tools team, you’ll design and build the systems that enable Palantirians to succeed. You’ll be the expert and owner of our internal platforms, helping to leverage a combination of Palantir’s own products and open source tools to provide stable and flexible services for a constantly evolving set of use cases. We’re responsible for making architectural decisions that enable sustainable operations in light of that evolving usage. Core Responsibilities Apply modern engineering practices to improve the maintainability, reliability, and utility of Palantir's internal compute infrastructure. Drive build-vs-buy decisions and partner with vendors to integrate external technologies into our platform. Collaborate with other teams to understand emerging needs and deliver solutions that help users succeed. Participate in the on-call rotation for high-severity incidents affecting critical systems. Research and evaluate new technologies to identify where our infrastructure can improve. What We Value Systems programming experience with strong proficiency in Go,Python, or Rust. Deep familiarity with containers (Docker) and orchestration (Kubernetes). Experience working with a cloud provider (AWS/Azure/GCE), or sysadmin/SRE experience in data centers. Up to date with modern industry practices and open-source advancements. Solid understanding of distributed systems, APIs, cloud platforms, and onprem infrastructure. Hands-on experience with CI/CD pipelines, DevOps practices, and system reliability principles. Willingness and eligibility to obtain
A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role As a member of the Compute Tools team, you’ll design and build the systems that enable Palantirians to succeed. You’ll be the expert and owner of our internal platforms, helping to leverage a combination of Palantir’s own products and open source tools to provide stable and flexible services for a constantly evolving set of use cases. We’re responsible for making architectural decisions that enable sustainable operations in light of that evolving usage. Core Responsibilities Apply modern engineering practices to improve the maintainability, reliability, and utility of Palantir's internal compute infrastructure. Drive build-vs-buy decisions and partner with vendors to integrate external technologies into our platform. Collaborate with other teams to understand emerging needs and deliver solutions that help users succeed. Participate in the on-call rotation for high-severity incidents affecting critical systems. Research and evaluate new technologies to identify where our infrastructure can improve. What We Value Systems programming experience with strong proficiency in Go,Python, or Rust. Deep familiarity with containers (Docker) and orchestration (Kubernetes). Experience working with a cloud provider (AWS/Azure/GCE), or sysadmin/SRE experience in data centers. Up to date with modern industry practices and open-source advancements. Solid understanding of distributed systems, APIs, cloud platforms, and onprem infrastructure. Hands-on experience with CI/CD pipelines, DevOps practices, and system reliability principles. Willingness and eligibility to obtain
At Secureframe , we’re building the next generation of cybersecurity and compliance software. Thousands of organizations use our platform to strengthen security, automate compliance, and earn trust. We’re backed by leading investors including Kleiner Perkins, Accomplice, Gradient Ventures, BoxGroup, and Village Global. Our Defense AI business is experiencing record growth as organizations across the Defense Industrial Base look for a faster, more practical way to meet CMMC requirements. Secureframe Defense AI combines secure infrastructure, AI-guided CMMC workflows, automated documentation, continuous control monitoring, real-time readiness insights, and expert support in one platform. It gives sellers a differentiated story: help customers secure CUI, accelerate CMMC readiness, and reduce the cost and complexity of operating a compliant environment. Alongside Defense AI, our GRC products help companies achieve and maintain frameworks such as SOC 2, ISO 27001, HIPAA, PCI DSS, and more. About the role As an SMB Account Executive for Defense AI & GRC, you’ll own a fast-moving, full-cycle sales motion across small-business customers. You’ll lead with one of Secureframe’s most strategic product stories—using AI, automation, and secure infrastructure to help defense contractors protect CUI and get CMMC ready—while also selling our broader GRC platform. You’ll connect customer needs to the right solution and move from discovery to a clear decision with urgency and care. This is a velocity role. You’ll build the operating rhythm to close approximately 30–50 deals per quarter across repeatable Defense AI and GRC motions, while also recognizing and developing larger opportunities that can grow into six-figure contracts. Success requires disciplined prospecting, excellent discovery, concise product storytelling, and clean execution across a large number of active opportunities. You do not need to arrive as a CMMC or Microsoft cloud expert. Experience selling to defense co
Managing Principal, Cybersecurity & AI Location: New York (Hybrid) | Practice Area: Technology & Engineering | Type: Permanent Lead the future of Cybersecurity and AI in Financial Services The Role Joining Capco means joining an organization that is committed to an inclusive working environment where you are encouraged to #BeYourselfAtWork. Capco Cybersecurity is a multi-faceted team focused on evaluating, defining, and delivering risk-aware solutions for leading financial services organizations. We are seeking a Managing Principal in the New York Metro area to help scale our Cybersecurity practice at a pivotal stage of growth. This role blends senior leadership responsibilities—driving business development, leading delivery, and developing teams—with a mandate to shape and lead our Cyber + AI offering. You will work closely with senior stakeholders to build market propositions, develop pipelines, deliver impactful programs, and grow a high-performing team. What You’ll Do Define and scale a Cyber AI strategy aligned with market demand and business priorities Develop offerings including accelerators, playbooks, and reference architectures Lead complex cybersecurity and AI-enabled security engagements end-to-end Build and grow client relationships, acting as a trusted advisor to senior stakeholders Lead business development activities including pipeline creation, proposals, and deal closure What We’re Looking For 12+ years’ experience in cybersecurity, information security, or technology risk Ability to be onsite in New York City 3 days per week Experience within a management or technology consulting environment Strong track record delivering complex cybersecurity programs Experience with AI security, GenAI governance, or AI-enabled security operations Ability to communicate technical concepts clearly to diverse audiences Bonus Points For Knowledge of frameworks such as NIST, ISO, or FFIEC Experience across domains such as cloud security, IAM, or resilience Re
WHAT IS BOX? Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia. By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift. WHAT YOU'LL DO Box is growing fast. Real fast. Every business in the world is looking to modernize the way that they work. As the leader in cloud content management, Box has what it takes to enable enterprises to transform how people work together. We engage directly with the largest and most complex enterprises in the world. These enterprises are looking to Box and our technology to transform their business. For these enterprises to be successful, they rely on who can advise them throughout the transformation. WHO YOU ARE You are a customer advocate and are motivated by helping others succeed. You listen well, ask questions, and translate business needs into something that you can execute against. You build trusting rel
Become a part of our caring community The Senior Software Engineer codes software applications based on business requirements. The Senior Software Engineer work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. The Senior Software Engineer standardizes the quality assurance procedure for software. Oversees testing and debugging and develops fixes. Researches complaints and makes necessary adjustments and/or recommendations to resolve complex software related issues. Begins to influence department's strategy. Makes decisions on moderately complex to complex issues regarding technical approach for project components, and performs work without direction. Exercises considerable latitude in determining objectives and approaches to assignments. Collaborates with Business partners and Solution and Application architects in designing software solutions Use your skills to make an impact Required Qualifications Bachelor's Degree in Computer Science or related field 5 or more years of experience designing, developing, and testing of software applications and/or infrastructure Must be passionate about contributing to an organization focused on continuously improving consumer experiences 5+ years’ experience with Workday integration techniques including RaaS, API, Cloud Connector, and EIB 4+ years’ experience collaborating with HR, Talent, Payroll, Benefits, and Learning teams 3+ years’ experience with Workday architecture and data structures 3+ years’ experience working with protected information 2+ years’ experience implementing Workday security including SSO and MFA Preferred Qualifications Master's
Become a part of our caring community The Business Intelligence Lead serves as the primary analytics and enrollment operations expert supporting Medicaid Enrollment. This role is responsible for leading state implementation readiness efforts, regulatory and contractual reporting support, enrollment analytics, compliance monitoring, and analytics modernization across Medicaid markets. The Business Intelligence Lead solves complex business problems and operational challenges using internal and external data sources to provide actionable insights and strategic direction to business leaders. This role serves as the primary analytics lead supporting Medicaid Enrollment Operations initiatives, with responsibility for state implementation readiness, enrollment analytics, compliance monitoring, and scalable solution architecture. This associate functions as a strategic individual contributor and internal consultant, partnering with business leaders, operational teams, compliance organizations, and technology partners to design and implement analytics solutions. The Business Intelligence Lead exercises independent judgment and decision-making authority on complex issues affecting state compliance, enrollment operations, contractual reporting obligations, membership reporting, reconciliation processes, and operational performance. The role leverages modern analytics platforms including Databricks, Power BI, SQL, and cloud-based data environments to create reusable and scalable solutions supporting current and future Medicaid market expansions. This associate is expected to influence strategy, identify opportunities for operational efficiencies, establish reporting standards, and drive modernization efforts that reduce implementation effort while improving compliance, operational visibility, and business outcomes. Use your skills to make an
Who We Are Verkada is transforming how organizations protect their people and places with an integrated, privacy-sensitive AI-powered platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management. We’ve got serious momentum in the market: more than 30,000 customers (including 100+ of the Fortune 500), a $5.8B valuation , more than $1 billion in annualized bookings, and backing from CapitalG, Sequoia Capital, General Catalyst, Felicis Ventures, Next47 and more. Physical AI is one of the most consequential technology shifts of our time, and Verkada is at the center of it. You can look at all kinds of communities to see our platform’s impact in the world. It's the retailer that uses our agentic AI to deter theft before it happens. The warehouse that uses AI-powered alerts to make sure its team is protected on the floor with proper PPE. The school that’s alerted to a threat in real-time and triggers a lockdown in seconds, not minutes. We’re rapidly scaling this impact: today, more than 2 million Verkada devices are deployed across 170+ countries. About This Role As a Senior IT Systems Engineer at Verkada, you will be responsible for driving technical ownership and delivering advanced solutions across our corporate cloud infrastructure, and identity management systems. You'll leverage deep expertise to build complex automations, enhance security, and streamline integrations beyond traditional tooling; utilizing platforms such as AWS Lambda, Google Cloud Functions, and Okta Workflows. We're looking for a proactive team player who embraces accountability, thrives on collaboration, and is passionate about creating robust, secure, and scalable systems to meet the evolving demands of our internal teams and business partners. What You'll Do Lead the development and maintenance of sophisticated identity management, endpoint management, and security infrastructure, ensuring compliance and optimal u
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