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Location: San Francisco Bay Area, USA Workplace: Hybrid Why work at Higgsfield AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like. About the role: Higgsfield AI is looking for a hands-on Member of Technical Staff, Product Security to identify and eliminate security vulnerabilities across our rapidly evolving AI products and platforms. As we build agentic systems, code-generating agents, generative AI models, and enterprise applications, you'll play a critical role in securing new features before they reach production. Working closely with Product and Engineering, you'll conduct offensive security testing, identify architectural weaknesses, and drive fixes to their root cause. You'll also turn recurring vulnerabilities into scalable security standards and automated controls. We're looking for someone with a proven track record of finding real vulnerabilities in production systems, strong technical judgment, and the ability to work directly with engineers to build more secure products. WHAT YOU'LL DO OFFENSIVE SECURITY & VULNERABILITY RESEARCH - Conduct hands-on penetration testing of new products and features, including web applications, APIs, and administrative interfaces. - Identify security risks across agentic systems, MCP servers, code-generating agents, and AI-powered applications. - Independently map attack surfaces and uncover authorization, authentication, and multi-tenant isolation vulnerabilities. - Develop proof-of-concept exploits, validate findings, and retest remediation efforts. SECURE DESIGN & APPLICATION SECURITY - Partner with Engineering early in product development to identify and prevent security flaws before release. - Conduct threat modeling, architecture reviews, and security-focused code reviews. - Analyze complex codebases to trace vulnerabilities to their root cause and recommend effective fixes. - Assess security risks across generative AI products, user-deployed applications, and enterprise features such as SSO and role-based access controls. SECURITY ENGINEERING & AUTOMATION - Translate recurring vulnerabilities into secure development standards, reusable controls, and automated security checks. - Build security tooling and integrate preventive controls into development and CI/CD workflows. - Identify systemic weaknesses and implement solutions that prevent entire classes of vulnerabilities. - Apply cloud, container, and infrastructure security knowledge to investigate vulnerabilities across the application stack. TECHNICAL OWNERSHIP & COLLABORATION - Own security findings from discovery through remediation, working directly with engineers to implement lasting fixes. - Prioritize vulnerabilities based on exploitability, business impact, and real-world risk. - Establish practical security standards that enable rapid product development without compromising security. - Help define security practices for emerging AI technologies and new product architectures. WHAT WE'RE LOOKING FOR - 5+ years of hands-on experience in product security, application security, penetration testing, or vulnerability research. - Proven track record of independently discovering and exploiting real vulnerabilities through application security work, bug bounty programs, or security research. - Deep understanding of web application and API security, including authentication, authorization, and multi-tenant isolation. - Strong ability to read and analyze modern codebases, identify root causes, and collaborate with engineers on remediation. - Experience conducting threat modeling, secure design reviews, and hands-on penetration testing. - Proficiency in scripting or programming languages such as Python, JavaScript, TypeScript, or Go. - Familiarity with cloud infrastructure, containers, and modern application architectures. - Ability to translate security findings into scalable engineering controls and automated checks. - Strong technical judgment, independent problem-solving skills, and a proactive approach to identifying security risks. Compensation & Benefits - We offer a competitive and thoughtfully structured compensation package designed to align with impact, experience, and long-term growth. - Base Salary: The anticipated salary range for this role is $200,000 - $300,000, depending on experience, skills, scope, and location. • Bonus: This role is Bonus eligible and may participate in the Company's discretionary annual bonus program. - Equity: In addition to cash compensation, employees are eligible to participate in the company’s stock option program and share in Higgsfield’s long-term growth. - Benefits: We offer a comprehensive benefits package designed to support employees professionally and personally, including medical, dental, and vision insurance, a competitive 401(k) retirement plan with company matching, and additional benefits and perks. - The opportunity to work on ambitious AI products alongside a highly experienced, fast-moving, and international team. - Significant ownership, direct impact, and opportunities for professional growth as the company scales. This is a hybrid role based in the San Francisco Bay Area. Team members are expected to work from our San Francisco office three full days per week, with the remaining days worked remotely and are expected to be available during agreed working hours and to maintain sufficient overlap with the relevant team’s time zone. We value in-person collaboration, active communication, responsiveness, and close partnership across teams. Higgsfield AI is an equal opportunity employer. We are committed to building a diverse and inclusive team and do not discriminate on the basis of race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic.

Location: San Francisco Bay Area, USA Workplace: Hybrid Why work at Higgsfield AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like. Role Overview Higgsfield AI is looking for a hands-on Member of Technical Staff, Enterprise Security to own security across our corporate systems, employee devices, identities, and SaaS applications. As we scale globally, you'll secure the systems our workforce relies on, from endpoint management and identity governance to threat detection and response. Working closely with IT, Infrastructure Security, and Engineering, you'll implement technical controls, automate security operations, and strengthen access governance. This is a hands-on engineering role requiring someone who personally builds, configures, and operates security systems. We're looking for someone with broad corporate security expertise, strong technical judgment, and the ability to prioritize meaningful risks in a fast-moving environment. WHAT YOU'LL DO ENDPOINT & DEVICE SECURITY - Own endpoint security across corporate devices using Microsoft Intune/MDM, including enrollment, compliance, and device lifecycle management. - Implement and operate EDR/XDR capabilities, including threat detection, investigation, and remediation. - Establish endpoint hardening standards and security baselines in partnership with IT and Engineering. IDENTITY & ACCESS SECURITY - Own corporate identity infrastructure across Microsoft Entra ID, including SSO/SAML, SCIM, MFA, Conditional Access, and RBAC. - Manage joiner, mover, and leaver (JML) workflows, ensuring secure provisioning and timely offboarding across SaaS applications. - Administer password management, privileged access, and credential security controls. - Conduct access reviews and implement least-privilege and Zero Trust principles. SAAS & CORPORATE APPLICATION SECURITY - Evaluate new SaaS applications, maintain approved application standards, and identify shadow IT. - Secure corporate collaboration tools, including email, Slack, and file-sharing platforms. - Review application configurations, permissions, and authentication controls. - Lead security awareness initiatives, including phishing simulations and employee training. DETECTION, RESPONSE & AUTOMATION - Monitor and investigate security alerts across identity, endpoints, and corporate applications. - Build detection capabilities for compromised accounts, suspicious activity, and endpoint threats. - Automate provisioning, access reviews, compliance checks, and security workflows using scripts and APIs. - Partner with Infrastructure Security to integrate endpoint and identity signals into centralized monitoring. - Lead incident investigation, containment, and remediation. TECHNICAL OWNERSHIP & LEADERSHIP - Identify and prioritize enterprise security risks based on business impact. - Lead security initiatives from technical design through implementation and ongoing operations. - Establish scalable security standards and practical engineering controls. - Partner cross-functionally to strengthen security without slowing business operations. WHAT WE'RE LOOKING FOR - 4+ years of hands-on experience in enterprise security, corporate IT security, or security engineering, ideally in a high-growth technology environment. - Proven experience personally implementing, configuring, and operating corporate security systems. - Strong experience with Microsoft Entra ID, SSO/SAML, SCIM, MFA, Conditional Access, and identity lifecycle management. - Hands-on experience with Microsoft Intune/MDM, endpoint compliance, and EDR/XDR. - Experience securing SaaS applications, corporate collaboration tools, and privileged access. - Proficiency in scripting and automation using Python, PowerShell, Bash, or similar languages. - Experience with security monitoring, incident investigation, and remediation. - Strong understanding of Zero Trust, least-privilege access, and corporate security practices. - Sound technical judgment, independent problem-solving skills, and broad expertise across corporate security domains. Compensation & Benefits - We offer a competitive and thoughtfully structured compensation package designed to align with impact, experience, and long-term growth. - Base Salary: The anticipated salary range for this role is $200,000 - $300,000 depending on experience, skills, scope, and location. • Bonus: This role is Bonus eligible and may participate in the Company's discretionary annual bonus program. - Equity: In addition to cash compensation, employees are eligible to participate in the company’s stock option program and share in Higgsfield’s long-term growth. - Benefits: We offer a comprehensive benefits package designed to support employees professionally and personally, including medical, dental, and vision insurance, a competitive 401(k) retirement plan with company matching, and additional benefits and perks. - The opportunity to work on ambitious AI products alongside a highly experienced, fast-moving, and international team. - Significant ownership, direct impact, and opportunities for professional growth as the company scales. This is a hybrid role based in the San Francisco Bay Area. Team members are expected to work from our San Francisco office three full days per week, with the remaining days worked remotely and are expected to be available during agreed working hours and to maintain sufficient overlap with the relevant team’s time zone. We value in-person collaboration, active communication, responsiveness, and close partnership across teams. Higgsfield AI is an equal opportunity employer. We are committed to building a diverse and inclusive team and do not discriminate on the basis of race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic.

LemFi is looking for an FP&A Manager to own forecasting financial modelling management reporting and business cases.

– Опыт работы от 4-х лет на Python. – Практический опыт построения RAG-систем и работы с векторными хранилищами, желательно PostgreSQL + pgvector.

Location: Remote - Ontario, Canada (DNU) Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Staff Machine Learning Engineer on Twilio’s AI/ML Platform team. About the job We are actively recruiting for this role to fill an existing vacancy. This position is needed to build the foundational AI/ML capabilities and common platform tooling that power intelligent engagement experiences across Twilio. You will influence the design and evolution of our company-wide ML/AI Ops foundation, ensuring every AI capability incorporates rigorous offline and online evals to maintain exceptionally high quality. You will drive improvements to managing LLM workloads across the company, while ensuring easy and compliant access to data for AI/ML exploration and product development. This role requires a builder mindset to bridge theoretical research, production-grade experimentation, and scalable, enterprise-quality software. Responsibilities In this role, you’ll: Conduct deep-dive research into and implement state-of-the-art LLM inference and orchestration. Identify opportunities to leverage small language via fine-tuning/distillation. Build ML systems that hold up at Twilio scale. Set standards and tooling for building evals across a range of AI/ML capabilities. Rapidly acquire new technical skills and knowledge in a fast-paced, high-delivery environment. Proactively leverage and integrate the latest AI development stacks to bypass boilerplate engineering and focus on core differentiation. Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! *Required: 8+ years applied ML/AI experience with a track record of owning technically ambitious systems end to end rather than contributing to someone else's design. Comfort operating in a 0-to-1 setting with ambiguous requirements and a strong bias for action. Proficiency in Python programming language. Experience building cloud-based services on AWS, GCP, or Azure, with high-volume data, streaming or real-time inference paths, and a range of data stores. Strong fundamentals of statistical machine learning algorithms, transformer models, LLMs. Extensive experience with ML Ops and LLM Ops patterns, including designing and implementing rigorous evaluation metrics for non-deterministic AI features at scale. Strong communication skills and highly effective collaborator who works well with teammates. Familiarity with AI-assisted development tools (e.g., Claude, Codex, GitHub Copilot, Cursor, etc.). Desired: Prior experience building evals for autonomous agents and large language models. Prior experience building autonomous agents that handle multi-turn conversations and maintain long-term context/consistency. Prior experience working in a globally distributed team. Evidence of technical leadership/impact, such as contributions to open-source data/ML projects and/or published technical presentations, blog posts, papers, or research. Location This role will be remote and based in Ontario, British Columbia or Alberta, Canada. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Based on role, employees may also be eligible for additional compensation and benefits, including but not limited to incentive programs, commissions, equity grants, health and wellness benefits, retirement contributions, and paid time off. The estimated pay ranges for this role are as follows: $160,320 - $200,400 Target Bonus Percentage 12.5% The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Location: Global We are the creators of a new fintech era! Our mission is to change this world by making blockchain accessible to everyone in everyday life. WhiteBIT is a global team of over 1,200 professionals united by one mission — to shape the new world order in the Web3 era. Each of our employees is fully engaged in this transformative journey. We work on our blockchain platform, providing maximum transparency and security for more than 8 million users worldwide. Our breakthrough solutions, incredible speed of adaptation to market challenges, and technological superiority are the strengths that take us beyond ordinary companies. Our official partners include the National Football Team of Ukraine, FC Barcelona, Lifecell, FACEIT and VISA. The future of Web3 starts with you: Join us as an Quantitative Researcher. Requirements Education & Experience: — MSc or PhD in a quantitative field; a live trading track record outweighs credentials — 5+ years in quantitative research or trading at a top-tier HFT firm, market maker, systematic fund, or crypto-native market maker; exchange-side market-structure experience is a plus — Hands-on experience with at least one TradFi asset class (FX, futures, equities) and / or equivalent crypto asset classes; both maker and taker strategies Core Technical Skills: — Advanced probability, statistics, time-series analysis, optimization; strict validation discipline (multiple testing, out-of-sample hygiene, live–sim parity) — Market microstructure: order-book dynamics, queue position, fill probability, adverse selection and markouts, market impact — Expert Python (NumPy, pandas/Polars, PyTorch); working C++ or Rust for latency-critical components — Tick-data engineering at scale: columnar stores, cross-venue normalization, data-quality control Market Knowledge: — Crypto microstructure: CEX matching engines and fee schedules, perpetuals (funding, mark price, liquidation/ADL), cross-venue arbitrage, DEX/AMM basics — TradFi microstructure: FX ECN mechanics (firm vs last-look liquidity, prime brokerage), listed futures; low-latency architecture (tick-to-trade path, colocation, exchange protocols) — Inventory and hedging: quoting models of the Avellaneda–Stoikov class and extensions, multi-asset inventory optimization, hedging, settlement workflows, real-time risk limits and kill switches Exchange Microstructure & Mechanism Design: — Maker-taker economics and market-quality measurement: fee-tier and rebate architecture, per-segment elasticity, spread/depth/slippage/markout metrics, defenses against rebate farming and wash trading — Liquidity program design: obligation-based schemes (two-sided quoting, presence at touch, minimum depth, uptime) and incentive-based schemes (tiered rebates, credit lines, connectivity benefits) — Maker protection and flow segmentation: markout-based counterparty scoring, retail price improvement (RPI) order types, asymmetric speed bumps and latency floors, minimum quote life, self-match prevention — Exchange P&L modeling: net fee capture, subsidy budget and payback, LP unit economics from onboarding to self-sufficiency Mindset & Soft Skills: — Owner mentality with direct P&L accountability; ships to production and makes honest kill decisions — Clear written communication with traders, engineers, exchange management, and external LPs — Compliance discipline across crypto and TradFi market-abuse regimes. Responsibilities Responsibilities — Liquidity Program: — Design the program end-to-end: MM tiers, admission criteria, obligations (max spread, min depth, uptime, presence at touch), incentives, and graduation to subsidy-free self-sufficiency — Optimize the fee schedule for net capture: taker tiers priced to measured elasticity by segment; maker rebates funded from taker fees; safeguards against tier gaming — Design order-book mechanics for comfortable quoting: tick and lot sizing, post-only / iceberg / RPI order types, self-match prevention, minimum quote life, passive-liquidity protection options — Build the toxic-flow framework: markout-based flow classification, counterparty scoring, continuous monitoring, access rules or surcharges for consistently toxic takers — Own the program financial model and roadmap: subsidy budget with payback targets; phases bootstrap → organic profitability → self-sufficiency; a market-quality dashboard as the single source of truth Responsibilities — Trading Desc: — Own the strategy roadmap — crypto first, then TradFi FX and futures; design pricing, quoting, hedging, and execution as one portfolio — Run end-to-end alpha research on tick/order-book, cross-venue, funding/basis, and on-chain data — Design the inventory-aware hedging framework, portfolio risk limits, and parameter governance — Partner with engineering on low-latency implementation; validate in high-fidelity simulation and canary deployments — Own P&L attribution, TCA/markout analysis, and research standards — Lead the TradFi FX entry research workstream (LSEG FX Spot Matching, Euronext FX). Working terms Immerse yourself in Crypto & Web3:Master cutting-edge technologies and become an expert in the most innovative industry. Master cutting-edge technologies and become an expert in the most innovative industry. Work with the Fintech of the Future: Develop your skills in digital finance and shape the global market. Take Your Professionalism to the Next Level: Gain unique experience and be part of global transformations. Drive Innovations: Influence the industry and contribute to groundbreaking solutions. Join a Strong Team: Collaborate with top experts worldwide and grow alongside the best. Work-Life Balance & Well-being: Modern equipment. Comfortable working conditions, and an inspiring environment to help you thrive. 24 calendar days of paid leave. Additional days off for national holidays. With us, you’ll dive into the world of unique blockchain technologies, reshape the crypto landscape, and become an innovator in your field. If you’re ready to take on challenges and join our dynamic team, apply now and start a new chapter in your career! Let’s Build the Future Together! WhiteBIT offers all candidates an equal opportunity to join the team. All hiring decisions are made without regard to race, national origin, gender identity or sexual orientation, age, religion, disability, medical condition, marital status, familial status, veteran status, or any other legally protected characteristic of an individual.

• Поддерживать и развивать средства сетевой защиты: FW/NGFW, IDS/IPS, Proxy, HBFW и другие. • Заниматься операционной работой по сетевым доступам: ревью, выдача, траблшутинг.

🧩 Требования: глубокая экспертиза в одном из направлений — MLOps, Streaming или проектирование архитектуры хранилищ данных с нуля; от 4 лет коммерческого опыта в роли Data Engineer/ETL‑разработчика;

Location: United States Workplace: Remote Most money apps talk at you. Cleo talks back ✨ We're not building another finance app. We're building the world's first AI financial assistant, one that actually understands your money and makes you better at it, and we're changing the world's relationship with money in the process 💰 For everyone, whatever their background or balance. The proof: profitable, fast-growing, a unicorn with over $300M in ARR, and millions of people who now feel differently about their money. We love original thinkers who challenge the status quo. We move fast, tell the truth, and there's nowhere to hide from good work here. If that excites you more than it scares you, you'll fit right in. Follow us on LinkedIn https://www.linkedin.com/company/cleo-ai/ for new features and the occasional roast 🔥 MEET THE TEAM 👥 Here at Cleo we have team of ~135 member in our Borrow Pillar and ~8 dedicated to Credit Policy and Analytics. This function brings together several specialisms, all working toward managing portfolio performance; designing the systems, models, and controls that make lending sustainable. They drive to build and grow a portfolio of responsible EWA & Pay Later products that can scale across markets while protecting users from high cost debt trap. ABOUT THE ROLE ✍️ We're hiring a Senior Credit Risk Analyst to help build our next generation of credit underwriting models and strategy, within Credit Policy & Analytics. You'll work at the heart of our credit expansion - supporting EWA (scaling 2x every year) and new launches like BNPL across the US and UK. - Use Cleo's proprietary and third-party data to reduce loss rates and improve customer experience - Optimise risk thresholds, policies, and strategy to expand member access and eligibility for our credit products - Apply quantitative analytics to understand risk drivers and recommend mitigation strategies - Build dashboards to monitor and report on credit product performance - Design, run, and analyse experiments across our credit product - Apply state-of-the-art techniques to combat and mitigate fraud risk - Influence credit policy, portfolio performance, and customer outcomes directly through your analysis, with exposure to senior stakeholders across the business WHAT WE'RE LOOKING FOR 🕵️ - Bachelor's degree in Engineering, Math, Finance, or another quantitative discipline; Master's is a plus - 3-5 years of analytical experience, preferably in a credit risk role at a FinTech company - Experience designing lending products compliant with US state and federal regulations - Experience with SQL, Python, or other statistical modelling tools - Advanced Microsoft Excel skills - Experience adopting AI tools within day-to-day work - Experience/knowledge of working with A/B testing - Nice to have: experience with Python for data analysis (Pandas or NumPy) - Nice to have: knowledge of state-of-the-art machine learning techniques WHAT WE OFFER We offer benefits package built to support you in and out of work. Benefits vary by country 🌍 and include meaningful equity, comprehensive health insurance, mental health support, a paid one-month sabbatical after four years, a learning & development platform, pension or retirement contributions, and location-specific leave entitlements. For the full breakdown on what's available in your location, visit our Candidate Hub https://meetcleo.notion.site/Cleo-Candidate-Hub-3b95c63b874580e9a068fdc6c8929ebf 👈 WHAT MATTERS Cleo's mission is to change the world's relationship with money. We can't do that without building a brilliant, genuinely diverse team - and making sure our hiring process gives everyone a fair shot, running a fair and transparent recruitment process in which every candidate is considered on their merits. We're glad to make reasonable adjustments at any stage of the process. If there's anything we can do to support you in showing us your best, please let your recruiter or one of the team know. We may use AI-assisted tools during the recruitment process to take support the team in different ways like taking notes or referring back to conversations. They do not replace the team and all applications are reviewed by a Cleo employee thoroughly!

Администрирование сетевого оборудования: Eltex, Zelax, MikroTik, Cisco. Эксплуатация системы централизованного управления сетью.

Ищем специалиста, который будет развивать привлечение клиентов через поисковую рекламу и AI-платформы, используя AI-агентов и автоматизацию. • Планировать, запускать, оптимизировать и масштабировать кампании в поисковых системах;

Ты будешь отвечать за стабильность среды масштабом от 500 виртуальных машин, участвовать в проектах импортозамещения и самостоятельно принимать технические решения в рамках своей компетенции. Работа ведётся в тесном взаимодействии с российскими вендорами.

Вам предстоит: Разработка и поддержка тестовой документации (тест-кейсы, чек-листы, тест-планы) в соответствии с регламентами; Проведение функционального, интеграционного и регрессионного тестирования;

❗️Что предстоит делать: Анализировать эффективность маркетинговых активностей и искать точки роста; Разрабатывать и поддерживать систему аналитической отчетности;

• Анализ требований: - Прием и анализ входящей документации от заказчиков.

– Опыт в коммерческих проектах/продуктах от 5 лет, из которых минимум 3 года — автоматизация на Python для backend.

• Разрабатывать AI-сервисы: от прототипа и выбора подхода до интеграции в существующий технологический ландшафт. • Проектировать взаимодействие LLM с инструментами, данными, API и другими сервисами.

Поддержка и сопровождение DLP: политики, исключения, агенты, шлюзы, сенсоры, интеграции с AD/LDAP, SIEM, SOC, Service Desk. Обработка срабатываний DLP: анализ, классификация, ложные срабатывания, расследование инцидентов, сбор доказательств, эскалация.