Jobs

Full Stack Developer

[Full-time, Remote, Freelancer]

SNEAK PEEK 

⇨ Location: Remote, GMT+0/GMT+4

⇨ Interview process: HR interview ⇨ technical interview ⇨ take-home challenge ⇨ final interview ⇨ offer 

WHO ARE WE? 

At Rounds, we believe in harnessing the power of cutting-edge technology to drive business success. Our transformative, machine-learning technology identifies and optimizes mobile assets, while our team of experts, with their unparalleled human capital and business acumen, provides the strategic direction and support to turn mobile assets into profitable businesses. Together, we are revolutionizing the mobile industry. 

THE ROLE

We are looking for an experienced Full-Stack developer with a passion for building complex systems to further expand our set of internal tools. You will architect and develop our core internal systems, understand and predict user interactions, and create well-written code, based on the business needs. You will work closely with other developers and QA testers, using the Agile methodology and a quality-first approach.

Hiring manager: Nadav Nagel, Software Team Lead 

WHAT ARE WE LOOKING FOR?

• 5+ years of commercial experience building publicly available websites
• 3+ years of experience in backend development using Typescript and Node.js
• Up-to-date with at least one of the latest UI frameworks (React, Vue.js, etc.)
• Detail-oriented and able to adhere to deadlines
• Excellent communication skills in both written and verbal English

INTERESTED?

Our recruitment process consists of the following steps: 

• HR interview: 30 min
• Take-home challenge.
• Technical interview: 60 min
• Final interview

About the role
You’ll design and maintain automation frameworks and integrate quality validation into CI/CD pipelines, while owning performance engineering and NFR compliance (scalability, reliability, response time). You play a key role in release governance by identifying performance bottlenecks and automation gaps before production.

What you’ll do

• Build reusable automation frameworks; UI + API automated scripts; maintain regression automation suite; reduce flaky tests; publish coverage/execution reports 
• Integrate automated tests into Azure DevOps pipelines; enforce quality gates; PR/merge triggers; block faulty builds; collaborate with DevSecOps on validation standards 
• Design and execute load/stress/spike/endurance tests; validate scalability under concurrency; measure latency/throughput/resource usage 
• Identify bottlenecks (app/db/api/infra); analyze SQL query plans; evaluate API latency; propose tuning recommendations with dev/architects 
• Validate NFR compliance and performance thresholds; participate in Go/No-Go; escalate risks when thresholds fail 
• Manage test data and repeatable environments; support Docker/containerized testing environments 

Must-have

• 5+ years automation and/or performance testing; CI/CD experience; Azure enterprise environment exposure; performance diagnostics/monitoring 
• Automation: Selenium/Playwright/Cypress; API automation; scripting (C# or JavaScript); POM/modular framework design 
• CI/CD: Azure DevOps pipelines, build validation triggers, quality gate configuration, pipeline debugging/optimization 
• Performance: JMeter/k6, latency/throughput analysis, capacity modeling; monitoring (Azure Monitor/App Insights/log analysis) 
• SQL performance analysis + execution plan review 

Authority / constraints

• Owns automation framework standards and coverage expectations; can escalate performance risks; must collaborate for structural redesign; cannot change scope or bypass functional QA 

Nice-to-have certs

• ISTQB Test Automation Engineer; AZ-204 / AZ-400 / AZ-104 / AZ-305 recommended options; advanced performance testing training

About the role
You’ll validate functional quality and ensure requirements are met before staging/production release, enforcing structured test processes, traceability (RTM), and disciplined validation cycles. You have authority to block releases when acceptance criteria are not met.

What you’ll do

• Review requirements/user stories/acceptance criteria; design test cases (positive/negative/boundary/edge); maintain ADO Test Plans + RTM 
• Execute functional/regression/integration cycles; validate acceptance criteria; exploratory + smoke testing before release 
• Log reproducible defects with evidence; track lifecycle; verify fixes; analyze root-cause trends 
• Maintain/expand regression suite based on defect trends; revalidate impacted modules during updates 
• API testing (Postman) + validate request/response/error handling; basic SQL queries for backend data validation 
• Validate basic OWASP scenarios and access-control testing; support pre-prod validation checks 
• Participate in Go/No-Go; provide formal QA sign-off; block release for critical/high-severity defects 

Must-have

• 5+ years QA/testing; enterprise applications; Agile/Scrum; structured test management tools 
• Test case design/execution, regression management, acceptance criteria validation, RTM discipline 
• API testing (Postman) + basic SQL (SELECT/JOIN/filters) + data validation techniques 
• ADO/TFS/Jira defect lifecycle; severity/priority classification; trend analysis 
• Awareness: SDLC stages, ADO Test Plans, basic OWASP Top 10, basic CI/CD understanding 

Authority / constraints

• Can block releases; can reject unclear requirements for testing; cannot change scope/logic or override architecture/security standards 

Nice-to-have certs

• ISTQB Foundation; AZ-900 recommended; OWASP awareness training

About the role
You’ll build enterprise dashboards, reporting systems, and automation workflows, ensuring KPI standardization, reporting accuracy, and data governance compliance while improving operational efficiency through structured automation.

What you’ll do

• Build Power BI dashboards aligned to business KPIs; advanced DAX measures; standardized templates; performance optimization 
• Design data models and ETL pipelines; validate data quality; maintain dimensional modeling standards; optimize SQL performance 
• Own KPI governance: formal KPI definitions/formulas, centralized KPI dictionary, prevent conflicting metrics 
• Build Power Automate workflows (approvals/notifications/triggers) with reliability + exception handling; API-based automation integration 
• Enforce data governance/security: RBAC + Power BI row-level security; compliance with access policies 
• Validate outputs vs source systems; reconciliation checks; audit trails; RCA for discrepancies 

Must-have

• 5+ years BI/data analytics; enterprise reporting; strong relational DB background; Agile experience 
• Power BI (advanced DAX), data modeling (star/snowflake), report optimization 
• SQL Server (advanced queries, stored procedures, indexing) 
• ETL: SSIS or Azure Data Factory preferred; data warehouse concepts 
• Power Automate (cloud/desktop flows), REST/JSON integrations, orchestration logic 
• Azure data services (Azure SQL, ADF, Synapse) + governance (RBAC/RLS, privacy/compliance) 

Authority / constraints

• Owns KPI modeling and automation framework principles; cannot redefine KPIs without PO/business alignment; cannot bypass governance/access policy 

Certs

• PL-300 mandatory; DP-203 recommended

About the role
You’ll validate AI-driven systems (ML models, LLM solutions, and Agentic AI workflows) to ensure outputs are accurate, reliable, secure, and compliant with governance standards. Focus areas include model behavior, prompt reliability, automation flows, and enterprise integration testing.

What you’ll do

• Test ML models using metrics (accuracy, precision, recall, F1) and adversarial/edge-case testing 
• Validate LLM outputs for correctness, relevance, and hallucination control 
• Run prompt-variant testing for response consistency; detect bias/incorrect reasoning; enforce business rules 
• Test multi-agent workflows, orchestration, decision logic, fallback handling, automation scenarios 
• Perform end-to-end scenario testing across APIs/services; validate real-time inference pipelines 
• Governance/compliance testing: RBAC/data access controls, sensitive data handling, auditability/traceability 
• Performance/reliability: load/latency/scalability testing; monitor drift/degradation over time 

Must-have

• 5+ years QA/testing with exposure to AI systems; experience testing ML models, APIs, enterprise apps 
• LLM evaluation techniques (hallucination detection, prompt testing) + dataset validation/test data generation 
• Automation tools: Selenium/Cypress/Playwright; API testing (Postman/REST Assured) 
• Automation scripting (Python or JavaScript); basic Python for AI pipeline testing 
• Azure environment awareness; CI/CD pipelines (Azure DevOps); logging/monitoring awareness 
• Familiarity with embeddings/vector DBs and ML/LLM workflow concepts 

Authority / constraints

• Owns AI testing standards/metrics and acceptance criteria; cannot approve release without quality thresholds 

Nice-to-have certs

• ISTQB Advanced Test Analyst preferred; AI-900 recommended

About the role
We’re hiring a Senior AI Engineer to design, develop, and deploy enterprise AI solutions including Agentic AI, intelligent automation, and predictive analytics, aligned with governance/security frameworks and business objectives.

What you’ll do

• Build AI/ML models (classification, prediction, NLP, computer vision) and optimize for performance/cost 
• Build LLM-based solutions (chatbots, copilots, automation agents) 
• Design and implement multi-agent architectures, orchestration logic, decision flows, and human-in-the-loop controls 
• Own data prep, feature engineering pipelines, training/fine-tuning/evaluation, and model lifecycle/versioning 
• Integrate AI into enterprise systems via APIs/microservices, including real-time inference services 
• Implement responsible AI practices (bias control, explainability, auditability) and secure AI pipelines/APIs (auth/authz) 
• Monitor production performance, logging/alerting, drift, and optimize latency/scalability 

Must-have

• 5+ years AI/ML engineering; production deployments; enterprise-scale AI systems/APIs 
• Hands-on LLMs/NLP or Computer Vision 
• Strong Python ML stack (TensorFlow/PyTorch/Scikit-learn) 
• LLM ecosystem experience (Azure OpenAI / OpenAI / Gemini / HuggingFace), embeddings/vector DBs 
• Agentic/orchestration frameworks (LangChain / Semantic Kernel / AutoGen; multi-agent frameworks; tool use) 
• Azure AI Services/Azure ML/Databricks + Docker/Kubernetes; REST/microservices, event-driven, APIM 

Authority / constraints

• Owns AI architecture/model development standards and Agentic AI implementation approaches 
• Cannot deploy without security/governance approval; cannot use external AI services without compliance validation 

Nice-to-have certs

• AI-102 preferred; DP-100 recommended

Candidates based in Poland are especially welcome. Proficiency in Polish will be a strong advantage. 
 

Scope of Work (Snowflake Data Engineer / Architect)

- Migration of data processing pipelines and datasets between two Snowflake instances. 

- Reverse engineering of selected existing solutions in order to assess the required level of modification (including implementation of selected adjustments). 

- Migration of several Streamlit applications (native Streamlit in Snowflake) alongside the data and pipelines. 

- For selected datasets and pipelines, implementation of new components (code, data structures, and Snowflake cross-account data sharing mechanisms). 

- Re-creation of an existing data processing framework currently used by another business unit on the new Snowflake account. 

- Ensuring that all data structures required for critical applications and Power BI reports are available in the new Snowflake account, including the pipelines/processes feeding those structures. 

-The role will require close collaboration with a Power BI specialist responsible for analyzing and prioritizing semantic models and Power BI reports currently consuming data from the existing Snowflake account.

Primary Skills: 

- SQL

 -Snowflake (preferred) or other cloud data warehouse solutions 

- Data layering 

- Stored procedure / Cursor / Dynamic SQL / Window functions / Recursive Query etc C# development 

- ETL - Azure Data Factory (or other ETL Tools)

- Data pipeline design 

- REST API / Oauth 

- Semi-structured Data 

- File Processing: JSON / XLSX / CSV / PARQUET

We offer:

• Attractive financial package

• Paid vacation, holidays and sick leaves

• Challenging projects

• Professional & career growth

• Great atmosphere in a friendly small team

• Flexible working hours

We’re looking for a Senior DevOps Engineer to join our team. 

About Client:

Our client, an award-winning global tax services and software provider, is the largest Firm in the world dedicated exclusively to business taxes. With global headquarters in Dallas, Texas, the Firm provides an integrated suite of federal, state, local, and international tax services on a multijurisdictional basis, including tax recovery, consulting, advocacy, compliance, and technology services. Our client is a seven-time recipient of the International Service Excellence Award from the Customer Service Institute of America (CSIA) for its commitment to world-class client service.

About the project:
The project is dedicated to the Sales Tax area: building a SaaS solution that helps clients track and forecast their performance.

Responsibilities:

• Analyze utilization metrics to right-size instances, databases, and containers
• Enforce strict resource tagging and allocation for accurate cost tracking and reporting
• Automate shutdowns of non-production environments and manage ephemeral resources efficiently
• Monitor cloud spend using native tools (AWS Cost Explorer, Azure Cost Management, Google Cloud Cost Management) and third-party platforms like Firefly
• Collaborate with development and product teams to shift-left FinOps, ensuring cost considerations are integrated early in the design phase
• Recommend cost-saving strategies such as spot instances, reserved instances, and optimized storage tiers
• Build and maintain dashboards to track KPIs, including cost per deployment, idle resource percentage, and cost per feature.

Requirements:

• 5+ years of DevOps experience
• Proven experience with Azure cloud platform and cost management tools
• Strong understanding of DevOps principles, CI/CD pipelines, and automation
• Hands-on experience with Infrastructure as Code (Terraform, CloudFormation, etc.)
• Knowledge of FinOps principles and cloud cost optimization strategies
• Familiarity with containerization (Docker, Kubernetes) and scalable architectures
• Analytical mindset with the ability to interpret utilization metrics and implement actionable changes
• Excellent communication skills and ability to collaborate across teams
• Upper-Intermediate level of English

We are looking for a Senior PHP/Laravel Developer to join a long-term, web-based SaaS project focused on automating tax recovery processes for European markets. The platform is designed to streamline workflows, reduce manual work, and ensure accurate, compliant reporting across multiple countries.

Requirements:

• Maintain and enhance an existing VAT automation platform;
• Develop reliable, reusable, and scalable backend code;
• Collaborate with a distributed team following Agile (SCRUM) methodologies;
• Optimize system performance and help reduce technical debt;

• Work with APIs and automate processes to improve efficiency.

   

Responsibilities:

• Minimum 5 years of commercial PHP experience, with strong Laravel expertise;
• Deep understanding of OOP principles and design patterns;
• Experience with YAML, XML, and integration with third-party APIs;
• Comfortable with LAMP stack (Linux, Apache, MySQL, PHP);
• Proficient in Git or equivalent version control;
• Agile/SCRUM experience;
• Upper-intermediate English for business communication;

• Soft skills: collaborative, proactive, responsible, and effective communicator.

   

Nice to have:

• Frontend development with JavaScript, TypeScript, HTML, CSS;
• Experience with caching, observability tools, or performance tuning.

We are looking for talented Senior Java Engineer to to join our AI project in Europe.

Our California-based customer is an American global e-commerce leader, one of the most popular and successful websites on the Internet. It provides platform services by connecting millions of sellers and buyers in more than 190 markets around the world. 

Responsibilities:

• Design and develop a robust and extensible Kotlin framework and platform for configuring and managing AI agents
• Write clean, maintainable, and efficient code that complies with our coding standards
• Ensure the performance, quality, and responsiveness of the framework/platform
• Identify and correct bottlenecks and errors
• Help to maintain code quality, organization, and automatization.

• Create and maintain technical documentation for the framework/platform

   

Requirements:

• At least 5 years of proficiency in Kotlin or Java
• Deep experience with the Spring Framework 
• Reactive tools experience (Project Reactor)
• Knowledge of different communication protocols such as REST, GraphQL, gRPC
• Experience with distributed systems
• Familiarity with tracing, metrics and monitoring best practices
• Experience of creating frameworks and platform for other developers 
• Proficiency in Maven or similar tools 
• Familiarity with NoSQL databases 

• Very good spoken and written knowledge of English language (C1)

   

Nice to have:

• Familiarity with GenAI, AI agents, machine learning, and natural language processing concepts is a plus
• Experience with MCP, A2A, RAG is a big plus
• Experience with event-driven architecture
• Experience with Docker and Kubernetes
• Python experience is nice to have
• BSc or MSc in Computer Science, Engineering or relevant field

We’re looking for a Senior DevOps Engineer to join our team. 

About Us:

Together with the client’s team you’ll be building a next-generation cloud-based security platform as a backend engineer with strong infrastructure expertise.

The team is working on products that enable security teams to orchestrate forensic investigations, run custom scripts at scale, and respond rapidly to cyber threats across millions of endpoints. The platform powers automated forensic evidence collection, customizable forensic profiles, and streamlined incident response workflows - all within a unified console alongside EDR data.

This role focuses on infrastructure migrations to modernize our platform and improve scalability.

Responsibilities:

• Plan and execute infrastructure migrations across multiple environments
• Manage Kafka infrastructure including consumers, producers, and cluster configurations
• Implement infrastructure-as-code for repeatable deployments
• Migrate services to new cloud proxy architectures
• Work with established migration patterns and documentation
• Coordinate with cross-functional teams on dependencies and rollouts

Requirements:

• 5+ years of infrastructure/backend development experience
• Proficiency in Python or Go
• Proficiency in Kubernetes and container orchestration
• Experience with infrastructure-as-code (Terraform)
• Experience with relational databases
• Experience with AWS or GCP cloud platforms
• Strong communication skills and ability to work in hybrid/remote teams
• Self-directed with ability to work independently
• It'd be great if you have experience with: ArgoCD and GitOps workflows; nginx and cloud proxy patterns; Large-scale distributed systems
• Upper-Intermediate level of English

Company Overview

BeomyTech is a dynamic technology company based in Israel, focused on the development of innovative solutions. Our projects require rapid prototyping, a high degree of flexibility in adopting new technologies, and the integration of artificial intelligence throughout the software development lifecycle.
 

Role Overview

We are seeking an experienced Full-Stack Engineer to work on end-to-end product development in an English-speaking team. The role involves building modern web applications and contributing to advanced AI-driven systems.

Technology Stack

• Frontend: Next.js, React, TypeScript
• Backend: Node.js, PostgreSQL, Drizzle ORM

• AI: LangChain, LangGraph, RAG, AI agents, vector databases

   

Requirements

• 5+ years of experience in full-stack product development
• Strong expertise in modern web technologies and backend systems
• Excellent English
• Proven experience working in an English-speaking team
• Ability to learn quickly, work autonomously, and maintain a high level of attention to detail

We are looking for a Full-Stack Engineer to join our team and help build scalable systems and modern web applications that process and visualize large volumes of data.

In this role, you’ll work across both backend and frontend, collaborating closely with engineers and product teams to design performant APIs, data processing systems, and intuitive user interfaces.

This position is ideal for engineers who enjoy working with complex datasets, building scalable architectures, and delivering polished user experiences.

What You’ll Do

Backend

• Design and build scalable backend services and APIs
• Develop systems that process and manage large datasets
• Integrate backend services with external APIs and third-party platforms
• Ensure performance, reliability, and security of backend systems
• Collaborate with frontend engineers to design efficient API structures
• Maintain high code quality through testing and code reviews

Frontend

• Build responsive and accessible UI components
• Implement complex interfaces such as dashboards, tables, forms, and data views
• Integrate frontend applications with backend services
• Optimize performance and user experience

• Maintain quality through frontend testing and best practices

   

What We’re Looking For

Backend

• 4+ years of professional backend development experience
• Strong experience with Python or Node.js
• Experience designing and building REST APIs
• Solid understanding of relational databases and data modeling
• Experience with query optimization and large datasets
• Familiarity with asynchronous programming
• Experience with background jobs or task processing
• Familiarity with messaging systems or queues
• Experience integrating external APIs
• Experience with cloud platforms (AWS, GCP, or similar)
• Experience writing automated tests
• Experience collaborating in a team environment and reviewing code

Frontend

• 3+ years of experience with React
• Strong knowledge of JavaScript or TypeScript
• Experience building modern web applications
• Experience integrating frontend with backend APIs
• Experience with forms, tables, and complex UI components
• Understanding of responsive design and accessibility
• Experience with state management solutions
• Familiarity with frontend testing

Nice to Have

• Experience with AI or LLM integrations
• Experience with vector databases or search systems
• Experience processing documents or large structured datasets
• Experience with event-driven architectures
• Experience with Next.js or similar frameworks
• Experience optimizing large frontend applications
• Experience implementing real-time features (WebSockets, etc.)

• Experience with data visualization or dashboards

   

What We Offer

• Opportunity to work on diverse and technically challenging projects
• A supportive and collaborative engineering team
• 12 vacation days per year
• 5 sick days per year
• English classes
• Mental health support, including access to therapist and psychologist services

What You’ll Do
 

Team Leadership & Organization

• Lead, organize, and scale the sales team to meet growth targets.
• Own hiring, onboarding, and ramp-up of new sales representatives.
• Define clear roles, responsibilities, and expectations across the team.
• Build and maintain sales playbooks, scripts, and documented processes.
   

Coaching, Training & Quality Assurance

• Provide ongoing coaching, feedback, and performance improvement plans.
• Run regular call reviews, QA sessions, and one-on-one coaching.
• Ensure high and consistent quality across cold calls, discovery calls, demo confirmations, and demos.
• Identify skill gaps and address them through targeted training and enablement.
   

Performance Management & Reporting

• Own team-level performance metrics and reporting (pipeline health, activity, conversion rates, revenue).
• Conduct regular performance reviews for individual reps and the team.
• Document performance trends, risks, and improvement actions.
• Be accountable for team results, with compensation tied to the team meeting defined performance criteria.
   

Supporting Sales Execution

• Spend time reviewing and shadowing sales reps, particularly during the first months in the role, to understand workflows, strengths, and gaps.
• Step in selectively to support sales activities when it directly helps team performance (e.g., onboarding periods, coverage gaps, or complex opportunities).
• Reinforce best practices by example, without owning a permanent individual quota or day-to-day rep responsibilities.
• Use hands-on involvement to inform coaching, process improvements, and training—not as the primary focus of the role.

Cross-Functional Collaboration

• Partner with Marketing to improve lead quality and funnel performance.
• Work closely with Implementation and Customer Success to ensure smooth handoffs and aligned expectations.
• Share customer feedback and market insights to improve messaging and sales strategy.

What You’ll Bring

• 5+ years of experience in B2B SaaS sales.
• Experience leading, mentoring, or managing sales representatives.
• Strong understanding of the full sales cycle and modern sales processes.
• Proven ability to coach and improve individual and team performance.
• Comfort managing performance, accountability, and difficult conversations.
• Data-driven approach to sales metrics and reporting.
• Excellent communication and organizational skills.
• Hands-on experience with CRM systems (HubSpot, Salesforce, Pipedrive).

    Nice to Have

• Experience in the landscaping, arbor, or field services industries.
• Background in fast-growing or scaling SaaS companies.
• Experience building onboarding or training programs.
   

What We Offer

• Competitive base salary + team-performance-based bonus.
• Fully remote role with flexibility across North American time zones.
• Opportunity to lead and shape a growing sales team.
• Direct impact on company growth and sales operations.
• The chance to work in the green industry, helping tree care and landscaping businesses operate more efficiently while supporting healthier urban forests and a more sustainable planet.

Domain: iGaming / Gambling
Format: Product company
Experience: 5+ years

About the Company

We are an international product company operating in the gambling sector. Our platform delivers real-time personalization for casino and sportsbook products using advanced machine learning. The solution processes live behavioral, transactional, and contextual data to improve player engagement, retention, and overall performance for operators worldwide.

Our focus is on building production-grade ML systems that directly influence what users see in real time — from game recommendations to personalized content and promotions.

Role Overview

We are looking for a Senior Data Scientist to join a product-focused team working on real-time personalization and recommendation systems for iGaming platforms.

This is a hands-on role that combines modeling, experimentation, and close collaboration with engineering and product teams in a high-load, real-time production environment.

Main Responsibilities

• Develop ML-driven features for casino products using supervised learning (regression, ranking, classification)
• Maintain and improve existing recommendation systems in production
• Enhance models using gradient boosting and other supervised approaches
• Perform data cleaning, preprocessing, and feature engineering
• Design and maintain pre- and post-processing workflows
• Optimize training and inference pipelines for performance and reliability
• Integrate ML models into Airflow pipelines in a multi-tenant environment
• Adapt and configure the solution for different clients (tenants)
• Collaborate closely with product and engineering teams on experimentation and feature delivery

As Part of the Team You Will

• Work cross-functionally with data scientists, engineers, product owners, designers, and researchers
• Analyze large-scale datasets to extract insights for product and business decisions
• Propose, implement, and evaluate ML approaches to solve real business problems
• Support and evolve a recommendation solution used across multiple tenants
• Influence product strategy through research, experimentation, and data-driven insights into user behavior

Experience & Education

• 5+ years of professional experience in data science
• Degree in a quantitative field (Mathematics, Statistics, Computer Science, or similar)

Core Skills

• Strong proficiency in Python and SQL
• Hands-on experience with data processing tools (Pandas, Polars)
• Solid engineering skills for building and maintaining scalable ML systems
• Experience implementing observability in ML pipelines (metrics, logging, alerting)
• Knowledge of Docker and Kubernetes
• Strong analytical mindset with the ability to solve loosely defined problems
• Hands-on experience with supervised ML techniques, including:
  • Regression and ranking models (XGBoost, LightGBM, CatBoost, neural networks)
  • Feature engineering and model evaluation (AUC, NDCG, MSE, uplift metrics)
  • Personalization or recommendation systems
• Proven experience deploying ML models to production (near real-time or batch)
• Solid understanding of statistical methods (A/B testing, significance testing)

Nice to Have

• Production experience with large-scale recommendation systems
• Experience with Airflow, Valkey/Redis, FastAPI in production
• Familiarity with contextual bandits or reinforcement learning
• Experience with AutoML tools