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Engineering Enablement Manager Jobs

8,135 active opportunities · Updated for October 2026

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Explore current engineering enablement manager jobs. Use filters to narrow by work mode, employment type, experience and date posted.

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24 days ago

Bloomreach is building the world’s premier agentic platform for personalization .We’re revolutionizing how businesses connect with their customers, building and deploying AI agents to personalize the entire customer journey. We're taking autonomous search mainstream, making product discovery more intuitive and conversational for customers, and more profitable for businesses. We’re making conversational shopping a reality, connecting every shopper with tailored guidance and product expertise — available on demand, at every touchpoint in their journey. We're designing the future of autonomous marketing , taking the work out of workflows, and reclaiming the creative, strategic, and customer-first work marketers were always meant to do. And we're building all of that on the intelligence of a single AI engine — Loomi — so that personalization isn't only autonomous…it's also consistent.From retail to financial services, hospitality to gaming, businesses use Bloomreach to drive higher growth and lasting loyalty. We power personalization for more than 1,400 global brands, including American Eagle, Sonepar, and Pandora. We're building a team of Product Architects at Bloomreach. As a Senior Staff Product Architect, you own or co-own the architecture of a single product , with deliberate overlap across related products so architecture stays aligned where our products meet. You are a product builder first. This is not a role for someone who cares about technology for its own sake: you take genuine part in defining the product — what it should be, who it's for, why it matters — and you bring system-level technical judgment into that definition, not after it. You sit at the intersection of product and engineering: close enough to product decisions to co-shape them, and close enough to the code to know what you're talking about — you'll spend 20–30% of your time hands-on , coding or prototyping. AI runs through everything

restaigo
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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. Own the Identity and Access Management product roadmap and deliver enterprise-grade authentication features that secure every connection between Appian and the enterprise. ABOUT THE TEAM The IAM Product team is on a mission to secure every identity, authentication flow, and access point that connects Appian to the enterprise. This team operates with high autonomy and directly influences how global enterprises trust and deploy AI-Powered Process Automation at scale. Your work will define how millions of users authenticate securely across mission-critical workflows. THE OPPORTUNITY As enterprises accelerate digital transformation, identity security has become the frontline of platform trust. This role exists because Appian is scaling its authentication and authorization capabilities to meet zero trust demands from the world's most security-conscious organizations. You will shape how the platform handles federated identity, modern protocols, and seamless user experiences in highly regulated environments. WHAT YOU'LL DO Lead the end-to-end IAM product roadmap, defining priorities that balance enterprise security requirements with developer and end-user experience Partner with Engineering to evaluate, design, and enhance authentication and authorization capabilities including native authentication and support for SAML, OIDC, OAuth 2.0, SCIM, and federated identity frameworks Execute discovery and requirements gathering with enterprise customers to understand identity provider integrations, compliance needs, and zero trust adoption patterns

awsazuregit
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OfficeSpace Software
📍 Costa Rica• Full-time
24 days ago

About OfficeSpace: OfficeSpace Software provides the leading AI operating system for the built world, that helps teams plan, connect, and perform in the workplace. As a performance-based, PE-backed company, we hire based on merit and a willingness to do what it takes to succeed long-term. You’re a great fit for the role if you’re entrepreneurial, passionate, motivated by building at light speed, and an Agentic AI early adopter. Our world-class teams operate in the US, Canada, and Costa Rica in a culture of trust, respect, growth, and impact. About the role As a Lead Software Engineer at OfficeSpace, you'll shape the future of our workplace platform by building scalable products, leading technical execution, and raising the engineering bar across the team. You'll combine deep technical expertise with strong engineering leadership. From architecting distributed systems to mentoring teammates and designing AI-powered engineering workflows, you'll help us deliver enterprise software that is reliable, secure, and built to scale. This is a hands-on leadership role. We provide the platform. You drive the impact. What you'll do - Lead the architecture, design, and delivery of high-performance applications using Ruby on Rails, React, and modern cloud technologies. - Build scalable, maintainable software that supports enterprise customers across a rapidly growing platform. - Design AI-assisted engineering tools, workflows, and automation that improve developer productivity, code quality, and customer outcomes. - Own projects end-to-end—from technical discovery through production deployment and long-term ownership. - Shift quality left by embedding automated testing, code quality practices, and continuous validation early in the development lifecycle. - Drive predictable delivery by managing scope, balancing technical debt, protecting sprint commitments, and reducing reactive work. - Establish performance benchmarks and continuously optimize application spe

reactredisrest
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Amplitude
📍 San Francisco• Full-time• From $24K/yr
24 days ago

Amplitude is the leading AI analytics platform, helping over 4,700 customers—including Atlassian, Burger King, NBCUniversal, and Square—build better products and digital experiences. With powerful AI Agents embedded across our platform, teams can analyze, test, and optimize user experiences faster than ever. Ranked #1 across multiple categories in G2’s Winter 2026 Report, Amplitude is the best-in-class solution for product, data, and marketing teams. Learn more at amplitude.com . As an organization, we deliver for our customers by living our values. We operate from a place of humility, take ownership of problems and successes, approach challenges with a growth mindset, and put our customers at the center of everything we do. Amplitude’s Commitment to Diversity Equity & Inclusion (DEI): Amplitude believes that diversity enables the creation of better products, improves the ability to solve complex problems, and drives more powerful solutions. We strive to create an environment of inclusion—one focused on psychological safety, empathy, and human connection—that will allow employees of all backgrounds to thrive. About the Role & Team Agentic Amplitude is the team that’s responsible for Amplitude's AI agent strategy. The team shipped the Amplitude Global Agent, Custom agents, and our MCP surface, and continues to deliver new products at a fast pace. The team is small, moves fast and thrives on curiosity, autonomy, and strong cross-functional partnership. We operate with a bias toward rapid iteration and refine our approach as the underlying technology and models advance. This role is the product lead for this surface area. The successful candidate will set the strategy and vision and lead the design and engineering teams to deliver new innovations, while serving as the company’s thought leader on agentic products. Responsibilities Define the direction for Amplitude's agents and MCP surfaces over the next 12 to 24 months, and determine the priorities that will gu

gitrestai
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Adyen
📍 Singapore• Full-time
24 days ago

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. Team Lead, IT Support, APAC As Team Lead, IT Support, APAC, you will be based in our Singapore office, stepping into a role to build and lead a best-in-class regional support function. You will manage a distributed team of five across Singapore and Bengaluru (comprising both dedicated support and hybrid support/engineering roles) to elevate the overall APAC IT support experience. The scope of this role is to improve the overall IT experience in all our offices in APAC. You will combine strong people leadership with a strategic mindset, crafting the short- (1 year), medium- (1-3 years), and long-term (3-5 years) vision for the team while automating processes, partnering with regional (senior) management, and driving technical excellence. You are a hands-on manager helping out with support if needed. What you’ll do Lead & define success Set the Vision: Drive the technical direction of the team by developing and executing short-term (1 year), medium-term (1-3 years), and long-term (3-5 years) support strategies aligned with global business goals. People Leadership: Supervise, guide, and mentor a distributed team of 5 (2x hybrid engineers in SG, 1x support engineer in SG, and 2x support engineers in BLR). Drive Performance: Set clear individual and team goals, delegate tasks effectively, and manage performance using Adye

gitagileai
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This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. Compliance Officer - Financial & Data Integrity Programs We are looking for a highly organized, detail-oriented, analytically minded, and commercially aware individual to join our Scheme Compliance team as a Compliance Officer for our Financial & Data Integrity pillar. This role is responsible for supporting the governance, oversight, and continuous improvement of card-network programs relating to transaction-data integrity, cardholder-data security, fraud, disputes, chargebacks, and merchant financial integrity. You will work across Scheme Compliance, Risk, Product, Engineering, Legal, Operations, Commercial, and regional stakeholders to help ensure card-network requirements are understood, consistently implemented, and well governed across the organization. This role is ideal for someone who thrives in structured program environments, can coordinate technical and operational workstreams, and enjoys translating complex network obligations into scalable, defensible compliance processes. What you’ll do Lead and coordinate program-management activities across the Financial & Data Integrity remit, including remediation tracking, program documentation, stakeholder coordination, and continuous-improvement initiatives for card-network monitoring and data-security programs. Support the governance and execution of relevant

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Adyen
📍 Singapore• Full-time
24 days ago

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. About the team The Global DPO Office is expanding its presence across regions, with team members currently based in Amsterdam and New York and plans to grow in APAC. We own Adyen’s global privacy program and AI governance, and support incident response and data governance across the business. This means working across teams and regions to turn privacy and data protection requirements into practical ways of working, while helping Adyen respond effectively when issues arise and navigate new challenges around AI and data. The work is varied, high-impact, and often complex. We work closely with colleagues across Adyen to solve problems that don’t always have straightforward answers, balancing regulatory requirements with the needs of a fast-growing, global business. We give people the space to take ownership, develop their expertise, and shape how we approach new and evolving challenges together. The Role We are looking for a driven and enthusiastic Senior Privacy Counsel to join our Global DPO Office in Singapore and drive our privacy work across the APAC region. Working closely with your colleagues in Amsterdam and New York, you will extend and strengthen our global privacy framework across the diverse and fast-evolving regulatory landscape of the Asia-Pacific region, enabling Adyen to grow in some of our most important commercial markets while making responsible choices. This is a builder role. Winning in APAC is one of Adyen's top commercial priorities, and you will be central to it - establishing a scalable regional privacy baseline, advising on complex local data processing and localization requirements, and partnering closely with regional product, engineering, commercial, and second-line teams. You must combine

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Enigma
📍 New York• Full-time• $100K – $150K/yr
24 days ago

The Opportunity We're hiring a mid-level Product Designer to be the creative partner behind Enigma's go-to-market efforts. Our identity is mid-refresh, so this isn't a role that only applies to our existing design system, you'll help systematize its evolution. You'll work directly with our marketing lead (a generalist across channels and strategy) to turn GTM ideas into campaigns, web pages, sales collateral, and social content. What You’ll Do Shape GTM creative, don't just execute it. Partner on campaign concepts and go-to-market ideas, bringing your own point of view rather than filling in a pre-set brief. Systematize the brand system. Contribute to Enigma's brand organization including but not limited to maintaining asset libraries, deck templates, and brand guideline documents. Build and update the website. Design and ship pages directly in our custom CMS (deployed on Vercel), from layout to content to launch, alongside marketing and engineering. Create sales and marketing collateral. One-pagers, case studies, pitch decks, and flexible slide systems the team can reuse for sales, marketing, and leadership. Own social and campaign content. Design LinkedIn carousels and campaign graphics, and cut short-form video (“cut-ups”) from longer source material. Design HubSpot campaign assets. Email templates and campaign landing pages that support lifecycle and demand-gen marketing. Prep imagery. Retouch and prepare hero and content images for web, social, and marketing channels. Use AI as part of the workflow. Use Claude, ChatGPT, Gemini etc. for ideation, copy support, team collaboration, and speeding up production, we want someone comfortable working this way, not resistant to it. Maintain consistency. Typography, color, imagery, and tone stay on-brand across every deliverable. What Makes This Role Exciting? Real ownership: you're helping build the brand system, not just maintaining one that's already locked. A true creative partnership: you'll work directly with a mark

aigomarketing
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Verse
📍 San Francisco• Full-time• $110K – $150K/yr
24 days ago

Location: San Francisco, CA (hybrid) What is Verse? The race to AI has become the race to power. Every breakthrough in artificial intelligence depends on one thing: access to electricity. But across the country, aging grid infrastructure and years-long interconnection queues are slowing the deployment of the data centers that will power the next generation of innovation. Solving this challenge isn't just about energy—it's about unlocking the future of AI. At Verse, we're building the energy intelligence platform for the AI economy. Our software helps the world's largest energy consumers achieve faster, cheaper, and cleaner power by combining real-time control of energy assets with complete visibility into their energy portfolio. Backed by Bessemer Venture Partners, GV, Coatue, and NVIDIA, and built by pioneers in grid-scale batteries, energy markets, and enterprise software, we're redefining how the world's most ambitious organizations access and manage energy. The Role We're looking for a highly analytical Senior Business Operations Analyst to support the growth and execution of our Dispatch Intelligence product. This role sits at the intersection of business operations, customer, product, engineering, and data science and has two core areas of responsibility. First, you will help drive overall program execution for Dispatch Intelligence: bringing structure to complex cross-functional initiatives, improving processes, tracking progress, and ensuring teams stay aligned on priorities and timelines. Second, you will help build and operate the processes through which flexible energy assets are onboarded onto the Verse platform and continuously improve their operational performance. The ideal candidate combines strong analytical problem-solving with exceptional project management and is comfortable working across both technical and commercial teams. You will play a critical role in helping Verse scale Dispatch Intelligence from individual projects and assets

aigorust
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VTS
📍 New York• Full-time• From $50K/yr
24 days ago

VTS is looking for an intelligent, self-motivated sales professional to join our team as an Account Executive in our New York office. Our Account Executives are hard working, coachable, curious, adaptable and take a process-oriented approach to closing new business on a quarterly basis. If this describes you and being at the forefront of innovation in the world’s second largest asset class, then we want you on our team! As an Account Executive at VTS, you’ll lead net-new customer acquisition across strategic, high-value accounts. This role is designed for a consultative seller who thrives in complex sales cycles, can operate at the executive level, and consistently closes large, multi-year deals. You will own the full sales lifecycle—from prospecting and discovery through negotiation and close—while partnering closely with Sales Development, Solutions Engineering, Product, and Leadership To thrive in this role you must be driven, and possess an eagerness to learn. A high level of accountability towards a quality work product. You value collaboration, engaging cross-functional partners to solve challenges to ensure the best strategy is applied to the client. You should possess a natural curiosity and desire to understand the business, customer insights, and real estate industry. ** Please note that this opportunity is located in New York, NY, and requires this hire to work from our office 4 days a week. ** What Makes This Job Awesome? Help bring Commercial Real Estate into the 21st Century - map customer’s key issues to our solution Become an expert on the VTS product suite and value proposition (focus on driving tenant experience outcomes on an asset level through VTS RIse) Present to C-level executives on the value of the VTS solution through product demonstrations in person and via web tools Represent VTS and evangelize our vision through in-market events, industry groups, and CRE specific initiatives Prospect, nurture, and close new business&nbs

aigoexcel
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Lithic
📍 New York• Full-time• $80K – $110K/yr
24 days ago

Lithic is the modern card issuing and processing platform empowering ambitious financial companies to build the future of payments. Our infrastructure powers card programs for 100+ innovative clients, from fintechs reimagining credit and digital banking to platforms transforming disbursements and spend management. Companies like Mercury, Flex, and Novo rely on Lithic's developer-friendly APIs, direct network connections, and flawless reconciliation to launch and scale card programs in weeks, not years. We're building a future where access to better financial products materially improves people's lives, free from the constraints of 30-year-old mainframes and legacy processors. We're proud to be backed by world-class investors who share that vision, including Bessemer Venture Partners, Index Ventures, Spark Capital, Stripes, and Mastercard, along with many others. We're a team of 170+ across 26 states and 7 countries, headquartered in New York City. Lithic's Treasury Operations team owns the movement of money across our card issuing infrastructure — network settlement, sponsor bank transfers, and the reconciliation that keeps it all provable. This is a hands-on, high-ownership role for someone who wants to learn the inner workings of payments and fintech infrastructure, not just observe them from a reporting layer. You'll be running a critical, time-sensitive engine every day — and at the same time, working alongside the Head of Treasury Operations to improve how that engine works as the function scales. You’ll also work cross-functionally across a wide range of teams (Finance, Treasury Engineering, Risk, Analytics, Processing, Customer Success, Bank Operations) — this role sits at the center of a lot of different workflows, not off in a silo. What You'll Do Execution (50%) Own day-to-day execution of network settlement transfers (Mastercard, Visa) and related treasury transfers across sponsor banks Operate in a time-sensitive environment where errors or d

pythonsqlgit
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Lithic
📍 New York• Full-time• $95K – $140K/yr
24 days ago

Lithic is the modern card issuing and processing platform empowering ambitious financial companies to build the future of payments. Our infrastructure powers card programs for 100+ innovative clients, from fintechs reimagining credit and digital banking to platforms transforming disbursements and spend management. Companies like Mercury, Flex, and Novo rely on Lithic's developer-friendly APIs, direct network connections, and flawless reconciliation to launch and scale card programs in weeks, not years. We're building a future where access to better financial products materially improves people's lives, free from the constraints of 30-year-old mainframes and legacy processors. We're proud to be backed by world-class investors who share that vision, including Bessemer Venture Partners, Index Ventures, Spark Capital, Stripes, and Mastercard, along with many others. We're a team of 170+ across 26 states and 7 countries, headquartered in New York City. We are seeking a Product Delivery Specialist to join Lithic’s team in our NYC office. In this role, you will lead complex customer implementations, drive operational excellence, and develop scalable processes that enable billions in transactions for the most innovative fintechs and digital banks. This position offers a unique vantage point across our business from product and engineering to compliance and operations allowing you to tackle meaningful challenges while making a tangible impact. In this role, you will coordinate a wide range of activities from implementing customer requirements and configuring the software to conducting technical setup and integration support with the ultimate goal of getting the customer’s solution live as quickly as possible, driving fast Time to Revenue (TTR) and provide great customer experience. You will operate at the intersection of our customers, internal teams, and third-party partners, executing progress across multiple project streams simultaneously. You will launch new

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Jumio
📍 India• Full-time• Remote
24 days ago

Role Purpose We’re looking for a Staff/Senior 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: 5+ 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: Hands-on ex

REMOTEpythonawsrest
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Jumio
📍 Austria• Full-time• Remote
24 days ago

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:

REMOTEpythonawsrest
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J
24 days ago

Machine Learning Engineer IV – (Computer Vision) We’re looking for a Staff/Senior 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 Strong industry experience in Machine Learning, 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: Hands-on exper

REMOTEpythonawsrest
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