דרושים Senior Quality Engineer - Ios ב-Paypal ב-צרפת

• Strong proficiency in Python for data analysis, machine learning, and automation.
• Solid understanding of supervised and unsupervised AI/machine learning methods (e.g., XGBoost, LightGBM, Random Forest, clustering, isolation forests, autoencoders, neural networks, transformer-based architectures).
• Experience in payment fraud, AML, KYC, or broader risk modeling within fintech or financial institutions.
• Experience developing and deploying ML models in production using frameworks such as scikit-learn, TensorFlow, PyTorch, or similar.
• Hands-on experience with LLMs (e.g., OpenAI, LLaMA, Claude, Mistral), including use of prompt engineering, retrieval-augmented generation (RAG), and agentic AI to support internal automation and risk workflows.
• Ability to work cross-functionally with engineering, product, compliance, and operations teams.

Essential Responsibilities:

• Develop and optimize machine learning models for various applications.
• Preprocess and analyze large datasets to extract meaningful insights.
• Deploy ML solutions into production environments using appropriate tools and frameworks.
• Collaborate with cross-functional teams to integrate ML models into products and services.
• Monitor and evaluate the performance of deployed models.

Minimum Qualifications:

• Minimum of 5 years of relevant work experience and a Bachelor's degree or equivalent experience.
• Experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn.
• Familiarity with cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment.
• Several years of experience in designing, implementing, and deploying machine learning models.

Our Benefits:

Any general requests for consideration of your skills, please

This job acts as a project leader, coordinating the activities of other engineers, determining technical tasks, and improving existing structures and processes. It involves making technical decisions, collaborating with management to set standards, and representing the company to external partners.

Essential Responsibilities:

• Acts as a project or system leader, coordinating the activities of other engineers on the project or within the system
• Determines the technical tasks that other engineers will follow
• Actions result in the achievement of customer, operational, program or service objectives
• Proactively improves existing structures & processes
• Exercises judgement in reconciling diverse and competing priorities (time, quality, complexity risk) to identify optimal solutions to problems
• Notices patterns and condenses repetition into densely meaningful generalized solutions
• Collaborates with management to set/improve standards for engineering rigor
• Trusted to represent PayPal, Inc to the outside world via interactions with partners, customers, or industry organizations

Minimum Qualifications:

• Minimum of 8 years of relevant work experience and a Bachelor's degree or equivalent experience.

Travel Percent:

The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .

The US national annual pay range for this role is $152,500 to $262,350

Our Benefits:

Any general requests for consideration of your skills, please

This job will design, develop, and implement machine learning models and algorithms to solve complex problems. You will work closely with data scientists, software engineers, and product teams to enhance services through innovative AI/ML solutions. Your role will involve building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and improve customer experiences.

Essential Responsibilities:

• Develop and optimize machine learning models for various applications.
• Preprocess and analyze large datasets to extract meaningful insights.
• Deploy ML solutions into production environments using appropriate tools and frameworks.
• Collaborate with cross-functional teams to integrate ML models into products and services.
• Monitor and evaluate the performance of deployed models.

Minimum Qualifications:

• Minimum of 5 years of relevant work experience and a Bachelor's degree or equivalent experience.
• Experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn.
• Familiarity with cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment.
• Several years of experience in designing, implementing, and deploying machine learning models.

Preferred Qualification:

Our Benefits:

Any general requests for consideration of your skills, please

This job will design, develop, and implement machine learning models and algorithms to solve complex problems. You will work closely with data scientists, software engineers, and product teams to enhance services through innovative AI/ML solutions. Your role will involve building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and improve customer experiences.

Essential Responsibilities:

• Develop and optimize machine learning models for various applications.
• Preprocess and analyze large datasets to extract meaningful insights.
• Deploy ML solutions into production environments using appropriate tools and frameworks.
• Collaborate with cross-functional teams to integrate ML models into products and services.
• Monitor and evaluate the performance of deployed models.

Minimum Qualifications:

• Minimum of 5 years of relevant work experience and a Bachelor's degree or equivalent experience.
• Experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn.
• Familiarity with cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment.
• Several years of experience in designing, implementing, and deploying machine learning models.

Preferred Qualification:

Responsibilities:

• Write clean, high-performance, high-quality, maintainable code
• Discovering, analyzing, structuring and mining data
• Be a key engineer contributing to the design, development of the new ML and Gen AI based solutions, improving and maintaining the same.
• Work with data scientists and backend engineers to implement scalable AI and ML solutions to solve complex problems.
• Maintain and enhance the existing architectural documentations and create the new one as needed
• Highly effective at working in cross-functional groups and getting results in matrix organizations
• Highly analytical, innovative, and able to think strategically and to develop comprehensive detailed specifications
Qualifications and skills:

• B.S./B.E/B.Tech in computer sciences with 5+ years of experience or equivalent
• Experience in building production grade Gen AI applications including Prompt Engineering and RAG fine-tuning techniques and usage of Agentic frameworks like Langraph, Langchain, CrewAI etc.
• Experience in Fine Tuning LLMs is a plus
• Experience with cloud technologies (GCP/AWS/Azure.) is recommended.
• Experience on building shallow learning and deep learning applications, using TensorFlow, PyTorch, H2O, SciKit-Learn, Keras, Spark MLlib, XGBoost, LightGBM etc.
• ML Design pattern, algorithm and the data structure skills
• Worked in development environments following agile principles and methodology
• Experience in working with GPU, profiling/low-level optimizations, Cuda/CuDNN is a plus
• Experience with one or more Container-ecosystem (Docker, Mesos, Kubernetes) is a plus
• Experience with Big Data Platform and data processing frameworks (Hadoop, Hive, Map Reduce, Spark, etc.) and professional skill in writing optimal production grade SQL queries is a plus
• Experience on data mining, feature engineering, and distributed data programming
• Excellent communication skill to global business and technical partners
• Highly motivated, goal driven, can-do attitude
• Innovative, entrepreneurial, team player, ability to multi-task
• Flexible in learning new tools and technologies and quickly on boarding solutions using solutions using them.

Our Benefits:

Any general requests for consideration of your skills, please

What you need to know about the role:

Essential Responsibilities:

• Consult with prospects to handle technical product questions and provide guidance
• Collaborate with the Product Team to gather and refine requirements for new features
• Implement collateral materials to communicate and educate clients
• Execute RFPs (Request for Proposal), Statements of Works, and Proposals
• Present competitive analysis to internal teams and suggest improvements
• Act as the main technical point of contact for clients and set up test accounts

Expected Qualifications:

• 3+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.

Your day-to-day:

In your day-to-day role, you will….

• Support French merchants through all integration stages — from testing to production — ensuring PayPal products work flawlessly across web and mobile.

• Troubleshoot and resolve technical issues such as API misconfigurations, SDK bugs, conversion tracking problems, and payment flow errors.

• Partner with the Sales team during the pre-sales phase to assess merchant needs, propose the right PayPal solutions, and help close opportunities with clear technical guidance.

• Collaborate cross-functionally with Product, Engineering, and Global Support teams to represent merchant feedback and accelerate issue resolution.

• Act as a trusted technical advisor to merchants, helping them adopt best practices, optimize conversion, and maximize PayPal’s value in their platforms.

What do you need to bring:

• Strong experience with web and mobile technologies, particularly APIs, REST, and SDKs (knowledge of cURL, Python, JavaScript, Java, or similar required).

• Hands-on understanding of mobile development (iOS and/or Android) and ability to debug integrations in those environments.

• Excellent problem-solving and communication skills, with the ability to explain complex technical issues clearly to both technical and non-technical audiences.

• Fluent in French and English ; proficiency in Spanish or Italian is a plus.

• Self-driven, curious, and proactive — able to learn independently, manage priorities, and take ownership without constant oversight.

• Strong understanding of SAAS solution RFP, implementation and ongoing management.

Our Benefits:

Any general requests for consideration of your skills, please

This job focuses on leveraging data to derive insights that align with the product’s shared vision and customer needs. It involves gathering customer experience insights to inform product requirements and analyzing research, market data, and usability studies for data-driven decision-making. Responsibilities include monitoring product development, leading sprint planning, daily standups, and retrospectives to ensure effective execution, and collaborating with content developers, data scientists, product designers, and stakeholders to uncover new opportunities. This job is an individual contributon and hendon experience to solve problems.Key Responsibilities:• Technical Leadership: Collaborate closely with engineering teams to design and able perform network integrations likeand have in-depth knowledge of Payment life cycle, PFAC/ISO messages. Able to write detailed JIRA/EPIC/Agile methods to drive execution• Market and Industry Analysis: Analyze market trends and advancements in identity management, including developments in Gateway processing, Fees calculation, data mapping and able to pull data and drive results (SQL, Bigquery, excel, looker or any other tool to drive meaningful outcome) .
• Stakeholder Engagement: Communicate product vision and technical concepts effectively to leadership, partners, and cross-functional teams, ensuring alignment and driving adoption of new account linking initiatives.

Essential Responsibilities:

• Uses data to build insights on product requirements consistent with the shared vision for the product.
• Gathers insights from the customer experience and customer needs to input to product requirements
• Analyzes research, market analysis and usability studies, research and market analysis to support data-driven decision making
• Monitors product profitability measures, including budget.
• Lead sprint planning, daily standups and retrospectives to drive execution. Interfaces with product leadership as needed.
• Partners with content developers, data scientists, product designers and user experience researchers to identify new opportunities.

Minimum Qualifications:

• Minimum of 5 years of relevant work experience and a Bachelor's degree or equivalent experience.

• Experience in payments , fintech or fast growing technology company
• Detailed knowledge of Payment Processing life cycle, failover, authrization and setllement
• Understanding and hands on experience of cost analysis, data mapping and exceptions handlings
• Experience with BI tools such as Tableau, Looker, or similar
• Experience working with cloud-based data platforms (e.g., Snowflake, BigQuery, GCP)
• Exposure to modern technologies, including the use of AI/ML for data enrichment, prediction, or product intelligence

Travel Percent:

The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .

The US national annual pay range for this role is $123,500 to $212,850

Our Benefits:

Any general requests for consideration of your skills, please

This job will design, develop, and implement machine learning models and algorithms to solve complex problems. You will work closely with data scientists, software engineers, and product teams to enhance services through innovative AI/ML solutions. Your role will involve building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and improve customer experiences.

Essential Responsibilities:

• Develop and optimize machine learning models for various applications.
• Preprocess and analyze large datasets to extract meaningful insights.
• Deploy ML solutions into production environments using appropriate tools and frameworks.
• Collaborate with cross-functional teams to integrate ML models into products and services.
• Monitor and evaluate the performance of deployed models.

Minimum Qualifications:

• Minimum of 5 years of relevant work experience and a Bachelor's degree or equivalent experience.
• Experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn.
• Familiarity with cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment.
• Several years of experience in designing, implementing, and deploying machine learning models.

Our Benefits:

Any general requests for consideration of your skills, please