Machine Vision And Aoi Sr Engineer Jobs

SCM Leader - Solution Delivery & Consultative Sales Location: NY/NJ Team: BC&S Global Practice (Business Consulting & Solutions) Who are we? Sigmoid enables business transformation using data and analytics, leveraging real-time insights to make accurate and fast business decisions, by building modern data architectures using cloud and open source. Some of the world’s largest data producers engage with Sigmoid to solve complex business problems. Sigmoid brings deep expertise in data engineering, predictive analytics, artificial intelligence, and DataOps. Why Join Sigmoid? Sigmoid provides the opportunity to push the boundaries of what is possible by seamlessly combining functional expertise, AI and creativity to tackle intrinsically complex business problems and convert them into straight-forward data solutions. Despite being continuously challenged, you are not alone. You will be part of a fast-paced diverse environment as a member of a high-performing team that works together to energize and inspire each other by challenging the status quo. Vibrant inclusive culture of mutual respect and fun through both work and play. Roles and Responsibilities Capture market demand by engaging with clients and internal stakeholders to identify gaps and opportunities across Consumer Goods, Lifesciences, Industrials and other adjacent industry verticals, focussing on E2E Supply Chain, Manufacturing & Procurement Analytics areas. Act as a bridge between business and technology, ensuring solutions are aligned with client needs and technical feasibility. Lead analysis on PMF (product market fit) and support GTM of the offerings to senior buyer-leadership in Key-Accounts target customer environments. Own & drive execution of the proposed Business-Analytics Solutions Products roadmap by demonstrating techno-functional consulting & stakeholder management capabilities in collaboration with Domain Leaders, Data Science & Engineering SMEs and teams. Own end

Data Analyst (Financial Services) About Capco At Capco Poland, we're not just another consultancy—we're the dynamic force driving digital transformation in the financial world. As a global leader in technology and management consulting, we help clients tackle complex challenges across banking, payments, capital markets, wealth, and asset management. Our culture is fast-paced, flexible, and entrepreneurial. We move quickly, think creatively, and put people at the center of everything we do. We're passionate about delivering value to our clients while creating opportunities for our people to grow and thrive. We're proud to be: Leaders in banking, payments, capital markets, wealth, and asset management consulting Champions of an agile, innovative, and collaborative work environment Committed to attracting and developing exceptional talent The Role We are looking for an experienced Data Analyst to provide services supporting the development of advanced machine learning models within a global financial services environment. In this role, you will work closely with data scientists, model developers, and business stakeholders to deliver high-quality data solutions that power analytical and modeling initiatives. You will be responsible for sourcing, transforming, analyzing, and preparing large-scale datasets while contributing to the design and implementation of robust ETL processes. Key Responsibilities Support the development of advanced financial machine learning models by sourcing, aggregating, and preparing data from multiple internal and external sources Clean, transform, validate, and analyze complex datasets to ensure high-quality inputs for modeling activities Design, develop, and optimize ETL pipelines to streamline data ingestion and processing workflows Work with large-scale databases and distributed data environments to extract and manage data efficiently Collaborate with cross-functional teams including model developers, data scientists, and business st

Shape the Future of Data. Design Products That Matter. Join Capco's growing Data & Analytics practice and help some of the world's leading financial institutions unlock the value of their data. We're looking for experienced consultants with expertise across data architecture, data modelling, data products and enterprise data solutions. Whether your passion lies in defining strategic data capabilities, designing modern platforms, or delivering business-focused data products, you'll have the opportunity to solve complex challenges while helping clients transform the way they use data. The Role As a Senior Data Consultant, you'll work alongside multidisciplinary teams to design and deliver modern data capabilities that enable better business decisions. You'll combine technical expertise with consulting skills to help clients define target architectures, create scalable data solutions and establish data products that generate measurable business value. Why This Role Is Open We are currently hiring for this role due to an existing or newly created vacancy within our organization. This position is open as part of our ongoing business needs, and we are actively reviewing applications to fill this role with a qualified candidate who can make an immediate impact. What You'll Do Design and deliver enterprise data architectures, logical and physical data models, and scalable data solutions aligned to business strategy. Partner with business and technology stakeholders to define and implement high-value data products and data-driven capabilities. Lead or contribute to data transformation initiatives, including cloud migration, modern data platforms and data governance. Translate complex business challenges into practical, sustainable data solutions using industry best practices. Mentor colleagues, contribute to capability development and help shape the growth of Capco's Data & Analytics practice. What We're Looking For Experience delivering data architecture, data model

About Us “Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount . With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. WHY JOIN CAPCO? You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry. MAKE AN IMPACT Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services. #BEYOURSELFATWORK Capco has a tolerant, open culture that values diversity, inclusivity, and creativity. CAREER ADVANCEMENT With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands. DIVERSITY & INCLUSION We believe that diversity of people and perspective gives us a competitive advantage. MAKE AN IMPACT WHY JOIN CAPCO? You will work on engaging projects with some of the largest banks in the world, on projects that will transform the financial services industry. We offer: • A work culture focused on innovation and creating lasting value for our clients and employees • Ongoing learning opportunities to help you acquire new skills or deepen existing expertise • A flat, non-hierarchical structure that will enable you to work with senior partners and directly with clients • A diverse, inclusive, meritocratic culture We offer: A work culture focused on innovation and creating lasting value for our clients and employees Ongoing learning opportunities to help you acquire new

Opportunity Get Well (GW RhythmX) is seeking a highly experienced and innovative Staff AI Engineer to lead the architecture, development, and optimization of cutting-edge AI solutions across the organization’s healthcare platform. This role requires deep technical expertise in large language models (LLMs), multimodal AI systems, agentic frameworks, and voice technologies—including STT (speech-to-text) and TTS (text-to-speech). As a Staff-level technical leader, you will guide the AI engineering lifecycle from conceptualization to deployment at scale while serving as a key cross-functional partner to product, engineering, and clinical teams. This is a high-impact, hands-on role for a forward-thinking AI expert with a strong understanding of emerging agentic systems and best practices in safety, observability, and machine learning operations in regulated environments. Responsibilities Healthcare-Focused AI System Design & Development Architect and develop production-ready AI models trained on real-world clinical datasets sourced from hospital systems, EHRs, and patient engagement platforms. Partner with clinical informatics and product teams to derive insights from structured and unstructured health data, including FHIR, HL7, CCDA, and EHR notes. Design and train speech-to-text (STT) and text-to-speech (TTS) models to power voice-enabled AI applications and virtual assistants in a healthcare setting. Integrate and optimize agentic systems using frameworks such as LangChain, LangGraph, or CrewAI for autonomous decision-making and workflow automation. Drive the end-to-end development lifecycle—from data prep and model training to evaluation, deployment, and monitoring—ensuring responsiveness and efficiency in high-impact healthcare settings. Evaluate and incorporate emerging AI technologies and architectural tools to improve intelligence, personalization, and user experience. Infrastructure Optimization & MLOps Lead the model lifecycle from ingestion and p

Data Analytics – Senior Consultant Location: London (Hybrid) | Practice Area: Data & Analytics | Type: Permanent Unlock insights. Empower decisions. Shape the future of financial services. The Role We're expanding our UK Data Practice and looking for talented Data Analytics Consultants to join our award-winning team. You'll lead cutting-edge data transformation programmes for top-tier Financial Services institutions, helping clients unlock value, improve operational efficiency and gain a competitive advantage through data-driven decision-making. You'll also embrace AI-enabled ways of working, using approved AI tools where appropriate to enhance analysis, accelerate delivery and improve the quality of client outcomes while applying sound judgement and responsible AI practices. What You'll Do Lead and deliver complex data analytics initiatives across major Financial Services clients, translating data into meaningful business insights and measurable outcomes. Apply predictive modelling, segmentation and risk analytics to solve client challenges, leveraging AI-enabled analytical techniques where appropriate to accelerate insight generation and support better decision-making. Design and develop dashboards using Power BI, Qlik or Tableau, delivering intuitive visualisations that enable business stakeholders to act with confidence. Interpret large, complex datasets and provide actionable recommendations through advanced analytical techniques, combining technical expertise with critical thinking and human judgement. Support the growth of Capco's UK and Global Data Practice by contributing to innovation across analytics, AI and machine learning, sharing knowledge and encouraging modern, AI-enabled delivery approaches. What We're Looking For Strong ability to acquire, manipulate, analyse and interpret large volumes of complex data to solve business problems. Experience delivering predictive and diagnostic analytics across areas such as customer lifetime value, risk scorin

Salary Range: PLN 350,000 - 474,000 PLN Subject to alignment to the responsibilities and duties of the role About the job As a Staff Software Engineer in the Collectives Team, you’ll drive the design and development of the Collectives Communication Library. The library provides communication primitives optimised for high bandwidth and low latency at very high scale. You’ll lead development of the library for new AI hardware accelerators, working across design, implementation, testing and documentation. You’ll collaborate with other teams to develop new features, troubleshoot complex technical issues and integrate new hardware with the existing AI ecosystem. You’ll also mentor engineers and help drive technical excellence across the team. The team and culture We value face-to-face interaction and make time to meet in the office frequently. The team works in two-week sprints, with three stand-ups each week, fortnightly sprint planning and a weekly team meeting. Work is planned with input from the Technical Product Manager, covering both longer-term priorities and upcoming sprints. Engineers typically work in small groups on larger tasks or components, coordinating the work among themselves. The team has a high level of technical expertise, with opportunities to attend thematic conferences and team outings roughly once a quarter. What we're looking for Extensive experience developing software in C++, with experience using Python and C Strong problem-solving skills and the ability to debug and resolve complex technical issues Strong understanding of multithreading and inter-process communication for efficient concurrent applications Experience with unit testing frameworks such as Boost.Test and Google Test Proficiency with build tools including CMake, Make and Ninja, plus strong understanding of Git or similar version control systems Strong communication skills and experience working effectively with multinational teams and customers While we have outlined a set of

ROLE We are passionate about data. We collaborate to build elegant, effective, scalable and highly reliable solutions to empower predictive modelling in finance. Cubist’s Data Services (CDS) group is looking for an AI Data Scientist to join our dedicated data team. Our group is responsible for the timely delivery of comprehensive and error-free data to some of the most demanding and successful systematic Portfolio Managers in the world. RESPONSIBILITIES Build AI-powered data products using machine learning models, large language models, and modern AI tools. Design, train, fine-tune, evaluate, and deploy in-house AI/ML models using proprietary and external datasets. Develop end-to-end model pipelines covering data preparation, feature engineering, training, validation, deployment, and monitoring. Apply generative AI and LLM techniques to use cases such as summarization, classification, knowledge extraction, semantic search, and workflow automation. Work with product, engineering, and business teams to translate business problems into scalable AI solutions. Evaluate and integrate third-party AI tools, APIs, open-source models, and internal models where appropriate. Build data pipelines and model workflows for structured and unstructured data. Define model performance metrics, run experiments, conduct error analysis, and continuously improve model quality. Support production deployment of AI models, ensuring reliability, scalability, governance, and responsible AI usage. REQUIREMENTS PhD in Computer Science, with a specialization in AI or machine learning related domains Strong programming skills in Python and SQL Strong publication record in top tier machine learning conferences 3+ years of experience as a Data Scientist or similar role Experience working with large data sets including predictive modeling Financial industry experience preferred but not required Strong organization, communication and interpersonal skills Intellectual curiosity and

Point72 is seeking a Quantitative Developer to join its Portfolio Construction and Analysis (PCA) team within the CIO office. ROLE Point72 is seeking a Quantitative Developer to join its Portfolio Construction and Analysis (PCA) team within the CIO office. The PCA team plays a vital role in the Equity L/S business at the firm, collaborating with investment teams to improve net revenue and risk adjusted returns. The Quantitative Developer will build, refine, and maintain an efficient technology infrastructure to enable and support the team’s quantitative research and analytical efforts. The ideal candidate is a smart, self-driven, and creative problem solver with strong technical and quantitative skills. RESPONSIBILITIES Architect, build, refine, and increase automation and robustness of the research infrastructure, including data access, risk modeling, and backtesting components Collaborate with quant researchers to implement framework for automating and presenting analytics, reports, and monitors Collaborate with firm-wide technology teams to deliver analytics and tools to users across the firm DESIREABLE CANDIDATES Undergraduate, Masters, or PhD in Computer Science or other quantitative discipline 3+ years of professional experience developing infrastructure to support an investment team Strong programming skills in Python and SQL Solid background in math/statistics/finance and familiarity with quantitative research methodologies and machine learning algorithms Understanding of and experience with the data ingestion process Ability to contribute to the analytics, quant research, and development process Understanding of portfolio construction is a plus Knowledge of equities is a plus High-energy personality and the ability to manage multiple tasks and deadlines in a fast-paced environment High degree of drive – must be a self-starter Ability to recognize and seize opportunities Depth of skills enabling him/her to perform ad hoc projects and task

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Staff Detection Engineer to join our team. This is a Hybrid role in Pune, reporting to the Senior Manager, Threat Researcher in the Threat Hunting department. You will own a coverage area and be accountable for its technical direction, overall efficacy, and high-standard content development. You will decide what gets built next, set the bar for detection content, and personally handle the most complex design decisions and detector implementations. What you’ll do (Role Expectations) Take complete accountability for your domain's health, backlog prioritization, and performance - serving as the ultimate point of contact for its overall efficacy Personally tackle the hardest detection challenges to establish design patterns, coding standards, and implementation blueprints for the rest of the team Define clear criteria for validated, tuned, and maintainable content, using design/code reviews and

Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? We’re looking for Staff Product Engineers to join the AI Group to build Fin's AI-powered products. Product Engineers working in ML work closely with both our ML Scientists and product teams. They must deeply understand our product, our customers, our ML tech stack and our broader product stack. Our group is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands. We are an extremely product focussed team. We work in partnership with Product and Design functions of teams we support. Our team's dedicated Engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test. We are very passionate about applying machine learning technology, and have pr

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. As a Senior Data Analyst, you will play a crucial role in our data-driven decision-making process. You will be responsible for turning raw data into actionable insights that will shape our product strategy and drive business growth. This role requires a deep understanding of product analytics, a strong technical skillset, and a forward-thinking mindset to leverage AI in your analysis. Responsibility : Design and build insightful and user-friendly dashboards and reports in Tableau to track key product metrics and performance indicators. Utilize Snowflake and dbt to build and maintain robust and scalable data models and pipelines for our analytics needs. Conduct in-depth product analysis to identify trends, patterns, and opportunities for product improvement and growth. Write complex SQL queries and use Python to perform advanced data analysis Collaborate with product managers, engineers, and other stakeholders to understand their data needs and provide them with the insights they need to make informed decisions. Proactively identify and explore new ways to leverage AI and machine learning to enhance our analytical capabilities and unlock new insights from our data. Communicate your findings and recommendations effectively to both technical and non-technical audiences. Qualifications: Proven experience as a Data Analyst or in a similar role, with a focus on product analytics. 3-5 years of experience. Expert-level proficiency in SQL. Strong experi

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Senior Data Analyst - Field Analytics As part of Okta’s Go-To-Market Strategy & Operations group, the Field Analytics team drives insight and scale within the global field organization. We serve as the core engine for the analytics and strategic analysis that enable our leaders to make data-driven decisions that determine the trajectory of Okta’s growth. You will be responsible for building high-impact technical assets, ranging from executive Tableau dashboards to standardized Snowflake datasets, while staying at the forefront of AI-driven analytics workflows. You will partner with US-based leadership and local team members to ensure our reporting framework is scalable, accurate, and deeply aligned with Okta’s global GTM strategy. Job Duties & Responsibilities: Analytics Delivery: Design, build, and maintain high-visibility Tableau dashboards and reporting assets that provide actionable insights to business partners across the global organization Data Set Engineering: Build and optimize production-grade data sets in Snowflake, ensuring that all field data (Pipeline, Bookings, Productivity) is clean, structured, and easily accessible for self-service analysis. Documentation & Governance: Take ownership of the technical documentation for all GTM reporting assets, ensuring data lineage, metric definitions, and logic are clearly defined and accessible. AI Implementation: Champion the use of Generative AI tools to accelerate the analytics lifec

About the Team The Integrity team is responsible for the scaled systems that help identify and respond to bad actors and harm on OpenAI’s platforms. We protect users and the wider world by developing responses to complex harms and building the harm protections needed for new product and model launches. Integrity’s work spans not only across frontier harms like biological weapons and cybersecurity, but also high severity abuses such as child safety, nation-state misuse, and violence. About the Role Protection Scientists within Integrity design, orchestrate, and mature systems of defence against usage harms enabled by OpenAI's products. We are systems thinkers that combine deep harm domain expertise with breadth across investigation, data science, machine learning, policy and operations. Our distinctive strength is understanding how these disciplines fit together and translating between them to design and build effective systems of defence. Your core hands-on technical responsibility is harm detection. You will design, build, evaluate and maintain production detection systems, drawing on investigative expertise, data and shared engineering platforms. You will develop signals, classifiers and detection systems, and improve their ability to identify harmful activity accurately as products and behaviour evolve. You will also own the strategy and cross-functional delivery of protection work for a harm area or product launch. Working closely with investigators and other domain experts, you will ground the design in a deep understanding of how the harm occurs and translate that understanding into a system of defence. You will connect detection with policy, review, interventions, enforcement and measurement, continually calibrating the system against real cases and expert judgement as it scales. You will identify what needs to be built or changed and make it happen. Success requires setting clear priorities, aligning partners, resolving dependencies and communicating evidenc

About Flexport: At Flexport, we believe global trade can move the human race forward. That’s why it’s our mission to make global commerce so easy there will be more of it. We’re shaping the future of a $10T industry with solutions powered by innovative technology and exceptional people. Today, companies of all sizes—from emerging brands to Fortune 500s—use Flexport technology to move more than $19B of merchandise across 112 countries a year. The recent global supply chain crisis has put Flexport center stage as we continue to play a pivotal role in how goods move around the world. We are proud to have the support of the best investors in the game who believe in our mission, solutions and people. Ready to tackle global challenges that impact business, society, and the environment? Come join us. The opportunity: Flexport is a platform for global trade in an industry that comprises 12% of the global GDP. We are the first licensed freight forwarder and customs brokerage built around a modern tech stack. We help the world's fastest-growing brands manage their international supply chains, providing a fully-managed service for moving products between any two places on the planet. Exceptional software development is integral in allowing us to fulfill our mission of fixing the user experience in global trade. At Flexport you’ll develop products that are at the forefront of reshaping the entire logistics & supply chain industries. You’ll work alongside self-starters interested in solving real-world problems and streamlining the inefficiencies in the complex global trade industry. You’ll have the opportunity to reshape an industry by creating the new operating system for global trade. Our engineers are top-notch software developers who love listening to the users, working as a team, and proactively taking the lead whenever necessary. The role involves learning the business of freight forwarding, modeling the work that people do to move freight, desi