Design And Cost Estimation Head Jobs

About the Role: The Machine Learning team at Tubi drives the innovation behind personalized user experiences. With the largest inventory in the industry and hundreds of millions of viewers, we tackle problems in the space of recommendations, search, content understanding and ads optimization that shape the future of streaming. We are seeking a highly skilled Staff Machine Learning Engineer to contribute to transformative projects in video personalization. In this role, you will design and implement advanced algorithms and systems to improve our personalization strategy. As a senior technical expert, you will tackle complex problems in machine learning at scale, collaborating closely with cross-functional teams to develop and optimize machine learning-driven solutions. This is a hybrid role in our Toronto office. What You'll Do: Lead the design, development, and implementation of advanced recommendation systems and algorithms for a global audience Conduct deep dives into algorithmic components and systems, ensuring that models are optimized for both performance and scalability across multiple regions and product areas Build and deploy high-impact robust ML pipelines, including data extraction, feature development, model training, testing, and deployment Continuously monitor, evaluate, and optimize the performance of deployed models, ensuring they meet business goals and provide high-quality user experiences. Work closely with Product, Engineering, and Data Science teams to align on product requirements, set expectations, and deliver machine learning-driven solutions that improve user engagement Your Background: 8+ years of industry experience building production Machine Learning systems MSc or Ph.D. in Computer Science, Machine Learning, Statistics, Mathematics, or a related field Experience with deep learning technologies for recommendation systems, including TensorFlow, PyTorch, or similar frameworks Proficiency in building and deploying full-stack machine le

About DevRev At DevRev, we're building the future of work with Computer – your AI teammate. Unlike traditional tools, Computer unifies all your data sources, tools, and workflows into a single AI-ready platform, giving employees real-time insights, proactive suggestions, and powerful agentic actions. It extends your existing software with AI-native apps and agents that work alongside your teams and customers – updating workflows, coordinating across teams, and eliminating repetitive work. We call this Team Intelligence: human-AI collaboration that breaks down silos, brings people back together, and frees you to solve bigger problems. Backed by Khosla Ventures and Mayfield with $150M+ raised, DevRev is trusted by global companies across industries. Role Overview The Partner Solutions Engineer (PSE) at DevRev is a customer-obsessed technical professional who plays a key role in driving partner-led growth and adoption. You will serve as the technical bridge between DevRev and our ecosystem of resellers, OEMs, system integrators, and strategic alliances. In this role, you will lead pre-sales discovery, design custom solutions, enable technical teams at partner organizations, and act as a trusted advisor across the full partner lifecycle. You’ll collaborate closely with DevRev’s Sales, Product, and GTM teams, empowering partners to independently position, implement, and scale DevRev solutions. Key Responsibilities Partner Enablement & Technical Leadership Articulate the features, benefits, and business value of the DevRev platform. Translate partner business models and objectives into DevRev-aligned solutions. Support partner solution discovery, architecture, and proposal creation during the sales cycle. Deliver technical enablement programs including: Tailored product and solution updates Hands-on bootcamps, SE shadowing, and technical workshops Joint solution and service co-creation Enable partners to deliver independent pre-sales motions and contribute to regional

NK Securities Research is a leading financial firm that leverages cutting-edge technology and sophisticated algorithms to trade the financial markets. Founded in 2011, we have gained invaluable experience in the field of High-Frequency Trading (HFT) across different asset classes. Role Overview We’re looking for engineers who can take AI work beyond experiments and make it hold up in production. You’ll work closely with quant researchers and infra engineers to build AI systems that actually get used improving research speed and internal tooling without slowing down the core stack. We value engineers who think about trade-offs, test what they build, and care about how things run in production. What You’ll Build Production AI Ship models that meet defined latency and reliability expectation Add monitoring, rollback, and guardrails before anything goes live Optimise inference across CPU/GPU environments when it matters Integration into Real Systems Plug AI into data-heavy workflows without hurting performance Work within existing low-latency architecture instead of fighting it Profile and remove bottlenecks rather than guessing AI for Engineers & Researchers Build tools that genuinely speed up research and development Improve code understanding, review workflows, and internal knowledge retrieval Keep systems auditable and predictable LLM & Retrieval Systems Implement structured RAG and embedding pipelines with validation in place Create safe integration layers between models and internal systems Performance & Standards Track latency, drift, and stability — not just accuracy Build observability into everything you ship Help raise the bar for how AI is engineered here What We’re Looking For Strong Python fundamentals Clear thinking around system design and performance trade-offs Experience deploying AI systems in production (1–5 years is typical) Familiarity with transformers, embeddings, or LLM deployment Nice to have: Exposure to C++ / Rust / Go E

About StarRez StarRez is the global leader in student housing software, providing innovative solutions for on and off-campus housing management, resident wellness and experience, and revenue generation. Trusted by 1,400+ clients across 25+ countries, StarRez supports more than 4 million beds annually with its user-friendly, all-in-one platform, delivering seamless experiences for students and administrators. With offices in the United States, Australia, the UK, and India, StarRez blends the robust capabilities of a global organization with the personalized care and service of a trusted partner. The Role You have an uncanny knack for problem solving and you have a sharp product mindset. Our engineers are involved in all aspects of the software design process and create high-performing, scalable, and secure products. You’ll work alongside cross-functional teams to design right-size solutions that power a new market-leading Analytics platform. As a Data Engineer at StarRez, you will play a critical role in building and scaling the foundations of our Analytics & Data Platform. You’ll design and maintain reliable, secure, and scalable data pipelines and models that power a new generation of reporting, insights, and data-driven products across the StarRez ecosystem. This role sits at the intersection of data, product, and engineering. You will work closely with Data Analysts, Full-Stack Engineers, and Product teams to translate customer and business requirements into robust data solutions - enabling everything from standardised dashboards to advanced analytics and embedded intelligence. You are hands-on, pragmatic, and comfortable working in a fast-evolving environment where you’ll help shape both the technical platform and the operating model as we scale. What you’ll be doing Build and maintain scalable data pipelines to ingest, transform,

As a Senior NetSuite Consultant at Plative, you will be advising and implementing NetSuite solutions to our portfolio of customers. Candidates for this role should possess a deep knowledge of NetSuite's capabilities in the Retail & Wholesale Distribution space and high-level knowledge of common industry-specific integrations. You will act as a knowledgeable advisor to customers, uncover business requirements, and configure effective solutions that address the customer's requirements. Plative is a fast-paced, agile environment, so you will be involved from project inception to completion and will work on multiple projects at the same time. Responsibilities: Manage and deliver basic to complex NetSuite implementation projects, including solution design and project management. Facilitate and lead customer discovery meetings, identifying opportunities beyond the initial scope and tracking findings in the project backlog. Delegate tasks to analysts and guide their work to ensure high-quality deliverables. Flag project limitations and issues early, and work with senior consultants and architects to address them. Prepare design documentation and present configuration and design recommendations to customers. Raise design risks, constraints, and critical dependencies to senior consultants and architects, and work together to resolve them. Communicate delivery risks, including budget, schedule, and scope, to project managers and lead consultants. Guide testing approaches for internal QA and customer UAT. Handle core configuration tasks, including complex business logic. Advise customers on leading practices and make configuration and design recommendations. Serve as the expert business process owner for core processes. Basic Qualifications: Bachelor's degree in a relevant field, or equivalent experience. 5+ years of experience implementing NetSuite within the Products industry. Strong understanding of NetSuite core configuration, including complex business logic. Knowledg

Senior NetSuite Consultant | Non-Profit As a Senior NetSuite Consultant at Plative, you will advise and implement NetSuite solutions for our nonprofit customers, including community foundations, food banks, and First Nations organizations. You will use deep knowledge of NetSuite's nonprofit capabilities and common sector integrations to guide customers through discovery, design, and delivery. Plative moves fast, so you will work on multiple projects at once, from inception to completion. Responsibilities Lead discovery sessions to map fund accounting, grant management, and donor management requirements to NetSuite configurations. Manage and deliver complex NetSuite implementation projects, including solution design and project management. Configure restricted and unrestricted fund tracking, grant budgeting, and revenue recognition for donations and grants. Guide customers through NetSuite for Nonprofits setup and leading sector practices. Delegate tasks to analysts and guide their work to ensure high-quality deliverables. Flag project limitations and issues early, and work with senior consultants and architects to resolve them. Prepare design documentation and present configuration recommendations to customers. Communicate delivery risks, including budget, schedule, and scope, to project managers and lead consultants. Guide testing approaches for internal QA and customer UAT. Advise customers on leading practices for board and funder reporting. Basic Qualifications Bachelor's degree in a relevant field, or equivalent experience. 5+ years of experience implementing NetSuite, with a focus on Nonprofit organizations and at least one full cycle implementation with a Nonprofit. Strong understanding of fund accounting, grant management, and restricted/unrestricted fund tracking. Strong communication and presentation skills for working with customers and team members. Ability to work independently and as part of a team. Proficient in spreadsheet-level data transformations.

Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you’ll be part of a passionate team dedicated to accomplishing hard things, together. About the Team Appian Customer Success is obsessed with delivering exceptional customer outcomes and high-velocity business impact. Our Public Sector team acts as a trusted strategic partner to government agencies and organizations, bringing their most vital ideas to life. By joining this high-performing team, you will strengthen and evolve your technical consulting skills while accelerating the adoption of our AI-Powered Process Automation platform across critical public infrastructure. As a Senior Consultant, you will step into a pivotal leadership role at the intersection of public sector strategy and modern technical innovation. This is your opportunity to move beyond isolated coding tasks and own the end-to-end delivery of highly visible, complex enterprise systems. You will lead small engineering teams, architect robust integrations, and serve as a trusted technical advisor to client stakeholders - enabling enterprise organizations to achieve true Enterprise-Grade Orchestration . What You’ll Do Lead Project Delivery: Oversee and drive the entire project lifecycle to define, design, and implement custom automation solutions using the Appian platform. Mentor & Develop Talent: Actively lead, coach, and mentor junior consultants through fast-paced software implementations, fostering a culture of technical excellence. Architect Integrations: Build seamless data pipelines and robust APIs to integrate multiple external enterprise systems using REST, SOAP, and JDBC connections. Drive Data Modeling: Design and launch sophisticated relational data

Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you’ll be part of a passionate team dedicated to accomplishing hard things, together. Job Description: ABOUT THE TEAM Our Engineering team is revolutionizing how Appian resolves customer issues by building AI-powered diagnostic tools and internal platforms that dramatically reduce resolution time. We combine deep technical expertise with AI innovation to empower support engineers to identify root causes faster, ensuring our customers experience uninterrupted business-critical operations. This team operates with high autonomy and directly impacts customer satisfaction and retention across Appian's enterprise client base. THE OPPORTUNITY Appian is at an inflection point where intelligent automation meets customer success, and we need a technical leader who can architect and ship the next generation of diagnostic platforms. This role exists because our growing enterprise customer base demands faster, smarter issue resolution, and AI agents are the key to unlocking that scale. You will shape both the technical direction and the team culture while delivering tools that become essential to how Appian supports thousands of mission-critical deployments worldwide. WHAT YOU'LL DO Lead the design and delivery of a scalable AI-powered triage platform that reduces mean time to resolution by leveraging AI agents, LangChain frameworks, and intelligent diagnostics Lead the engineering team building AI-powered diagnostic tools that cut customer issue resolution time in half while scaling a platform that empowers support engineers across the globe. Architect quarterly releases of diagnostic tools on AWS infrastructure, balancing innovation velocity with pro

Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you’ll be part of a passionate team dedicated to accomplishing hard things, together. Senior Software Engineer Grow your engineering career building software that matters by powering AI automation for the world’s largest enterprises. Location: Chennai, | Work Model: On-site (5 days/week) About the Team Appian Engineering spans the full depth of our platform: from the foundational layers that power enterprise scale, to the AI capabilities redefining what automation can do. We operate in a highly collaborative, fast-paced environment focused on technical precision, continuous learning, and high code quality. By joining our team, you will solve real-world problems that directly shape how Appian delivers our AI-Powered Process Automation platform to enterprises around the world. The Opportunity As a Senior Software Engineer, you will take meaningful ownership of the software you build. You will bring deep technical expertise to a highly skilled team solving real problems at enterprise scale. As an experienced engineer, you’ll be equipped with cutting-edge AI tooling to design and deliver features of real sophistication, shape team-level engineering practices, and deepen your expertise while ensuring flawless Enterprise-Grade Orchestration . What You’ll Do Develop Clean Software: Architect, build, and optimize core platform features while maintaining a strong personal technical presence on the team. Engineer with AI: Use AI coding tools fluently as a force multiplier: generating, reviewing, and critically evaluating AI-assisted code to ship faster without compromising quality or correctness. Lead Architecture & Delivery: Drive technical sto

Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you’ll be part of a passionate team dedicated to accomplishing hard things, together. The Mission As a Lead Software Engineer working on the Appian platform, your mission is to be the technical anchor for our most ambitious engineering initiatives. You will ensure Appian is always fast, scalable, and resilient, regardless of the complexity our customers demand. While a Senior Engineer focuses on feature health, you are focused on platform evolution . You will lead the design and orchestration of high-stakes systems, integrating cutting-edge AI into the core fabric of our product. This role demands a balance of elite coding mastery, visionary system architecture, and the ability to align technical roadmaps with Appian's overarching business strategy. Key Responsibilities The Lead Software Engineer isn't just "the best coder"—they are the architect of the team’s success and the guardian of our technical future. Technical Strategy & Roadmap: Work alongside Product Leadership to transform long-term business goals into scalable technical milestones. You don't just build features; you define the technical "North Star." Advanced Architecture: Lead the design of distributed, event-driven, and cloud-native systems. You are responsible for making high-level decisions on system boundaries, data consistency, and integration patterns. AI Orchestration & Innovation: Drive the adoption of AI-native engineering and an AI-native culture within the team. This includes using AI tools to improve developer productivity and implementing AI features into the platform to make the Appian platform more intelli

Backend Engineer (Senior Level) - SDE IV We're looking for a Senior Backend Engineer to lead the architecture and evolution of backend services that deploy and serve machine learning models in production. You'll work closely with ML Engineers, Platform, and Product teams to build scalable, reliable systems and drive technical direction across multiple teams. What You’ll Do Design and drive the long-term architecture of backend services for biometrics and ML model serving. Collaborate with core platform and backend teams on organization-wide architectural initiatives. Partner with business and engineering teams to design and deliver cross-cutting platform capabilities. Lead architectural reviews, mentor engineers, and promote engineering best practices. Build and maintain backend services for deploying and serving ML models Monitor service reliability, performance, and scalability in production Deploy and operate services on AWS using ECS + Fargate, SageMaker, or EC2 + Kubernetes Support real-time and batch inference workflows Contribute to CI/CD pipelines and deployment automation What We’re Looking For Strong expertise in backend development using Java and working knowledge of Python. Experience mentoring engineers and driving architectural decisions. Working knowledge of Python, especially for ML-related workflows Hands-on experience with AWS (e.g., DynamoDB, ECS, EC2, Redis, S3, SageMaker) Familiarity with Terraform or other infrastructure-as-code tools, and experience with CI/CD and production monitoring Experience with observability tools (Datadog, New Relic, etc.) Experience with containers and orchestration (Docker, ECS, etc.) Understanding of how ML models are deployed and served in production Experience with Kubernetes Nice to Have Experience with MLOps or ML platform engineering. Experience with asynchronous programming and event-driven systems. Jumio Values: IDEAL: Integrity, Diversity, Empowerment, Accountability, Leading Innovation Equal Opportunities :

Machine Learning Engineer We’re looking for a Machine Learning Engineer with deep expertise in computer vision and biometrics to lead the design and scaling of face recognition systems in production. You’ll build and train models, and own ML systems end-to-end on AWS. The final job level for this role will be determined following the interview process. What You’ll Do Lead the design and development of computer vision systems for biometrics (face attributes, detection, quality, and recognition) Rigorous fairness analysis and benchmarking of biometric models across various datasets and operating conditions. Architect, train, and optimize models using PyTorch, Tensorflow, and/or JAX Own and evolve end-to-end ML pipelines, from data ingestion to deployment. Design automated pipelines (Airflow) for data ingestion and cleaning. You will be responsible for curating balanced training sets and generating synthetic data to address both quality and diversity gaps. Production Engineering: Own the path to production. Optimize models for low-latency inference (quantization, distillation, TensorRT/ONNX) and manage deployment on AWS. Mentor ML engineers, conduct code/design reviews, and drive technical best practices across the Computer Vision team. What We’re Looking For Experience: Multiple years of industry experience in Machine Learning, with at least 3 years dedicated to Biometrics or Face Analysis. Deep expertise in computer vision and biometrics, especially face recognition. Fairness & Ethics: You understand the sources of algorithmic bias in Computer Vision and have practical experience measuring and mitigating disparate impact. Strong Engineering: Expert proficiency in Python (both machine learning and vision libraries such as Pillow, OpenCV, PyTorch, etc). You write clean, modular, production-ready code. Systems Architecture: Experience designing end-to-end ML pipelines (Data to Train to Deploy) and working with workflow orchestrators like Airflow. Cloud Native:

Who Are We HALA is a leading fintech player in the MENAP region that aims to redefine financial services and build the future bank of SMEs. HALA aims at empowering SMEs to start, run, and grow their businesses by providing them with cutting-edge financial and technological tools. HALA currently holds multiple entities in UAE, Saudi Arabia and Egypt (including HALA Payments and HALA Logistics) and offers solutions that enable merchants to digitize their payments as well as manage their sales and operations. Founded in 2017, HALA is currently licensed by the Saudi Arabian Central Bank. Objective We are seeking IT Audit Manager to join our team and lead audits across Information Technology, Cybersecurity, Business Continuity Management (BCM), and other technology-enabled business processes. The Senior IT Auditor will be responsible for planning and executing risk-based audits, evaluating the design and operating effectiveness of IT general controls (ITGCs), cybersecurity controls, technology governance, cloud environments, business continuity and disaster recovery capabilities, and regulatory compliance. The role also involves identifying technology risks and control deficiencies, assessing their impact on the organization, and providing practical recommendations to strengthen governance, enhance cyber resilience, improve operational effectiveness, and support compliance with applicable regulatory requirements and industry standards. Responsibilities Plan and execute risk-based IT audit engagements, including IT General Controls (ITGC), cybersecurity, cloud computing, digital platforms, data governance, business continuity management (BCM), disaster recovery (DR), third-party risk, and technology-enabled business processes. Perform audit planning activities, including risk assessments, audit scoping, control identification, and development of audit programs and testing procedures. Evaluate the design and operating effectiveness of IT controls, identify technolog

Key Responsibilities Enterprise Data Strategy & Client Engagement: Develop and maintain a comprehensive data architecture strategy that aligns with organizational and client business objectives. Serve as a key technical advisor for clients, translating business requirements into innovative data solutions. Build and maintain strong client relationships by providing expert guidance and managing expectations throughout project lifecycles. Data Modeling, Design & Engineering: Design and optimize both logical and physical data models to support enterprise-wide systems. Architect data warehousing solutions, overseeing the integration of data from multiple sources to enable robust business intelligence and analytics. Directly develop, test, and implement ETL processes and data pipelines, ensuring data quality, consistency, and performance. Technology Evaluation & Implementation: Evaluate emerging data technologies and tools to determine their fit within the existing architecture and potential for future scalability. Oversee the integration of new technologies into the enterprise data architecture, balancing innovation with risk management. Team Leadership & Hands-On Management: Lead cross-functional teams, providing mentorship and technical guidance to junior data engineers and architects. Maintain a hands-on approach by actively participating in coding, design sessions, and troubleshooting complex data issues. Ensure project milestones are met through effective resource management and team coordination. Performance, Security & Best Practices: Optimize data storage, retrieval, and processing performance across various systems. Collaborate with security teams to enforce data governance, compliance, and privacy standards. Establish and promote best practices in data management, data engineering, and architecture design. Documentation & Reporting: Develop and maintain comprehensive documentation covering data architecture designs, data flows, integrati

Who is Artefact? Artefact is a next-generation strategy and data consulting firm dedicated to transforming organisations through data and AI. We combine the rigour of top-tier strategy consulting with deep expertise in data, digital and analytics to help clients achieve tangible business impact. With 2,500+ consultants, data scientists and engineers, we work with global leaders such as Samsung, L’Oréal, Orange and Sanofi. Our Swiss offices are at the heart of Artefact’s growth, advising clients on their most pressing strategic challenges — from AI strategy and governance to digital transformation roadmaps and new business model design. Main Responsibilities As a Senior Consultant in our Zurich/Lausanne office, you will work at the intersection of strategy consulting and data and AI delivery. You will: Strategy Development: Work with client leadership teams to address high-stakes questions. How can AI reshape our business model? How should we govern and organise for data? Which strategic programmes deliver the most impact? Structured Problem-Solving: Break complex challenges down into decisions a client can act on, combining consulting rigour with a working knowledge of what current AI can and cannot actually do. Solution Design: Turn a business question into a solution shape — what data it depends on, what kind of platform or product it should sit on, and what “good” looks like once it is built. You will do this alongside our data scientists and engineers. Project Delivery: Support engagements end to end, from hypothesis framing and market and competitor analysis through to data maturity assessments, client workshops, governance design and implementation roadmaps. Client Engagement: Work closely with C-level stakeholders and business unit leaders. You will build trusted relationships, communicate recommendations with clarity, and keep the work aligned to what the client is actually trying to decide. Knowledge & Practice Building: Contribute to the growth of Arte