:Responsibilities

• Prepare and preprocess data for AI models, develop features, and collaborate with R&D and Product teams to ensure the effective deployment and monitoring of machine learning models

• Build and maintain scalable ML data pipelines, ensuring seamless integration with AI workflows

• Analyze and integrate data from various sources, ensuring high-quality data for use in models

• Optimize data processing systems for performance and cost-efficiency, automating routine data handling tasks

• Collaborate closely with data team to document data processes and infrastructure, providing training and support when needed

• Monitor the performance of deployed models, analyze outputs, and recommend data-driven improvements

• Ensure data security, compliance with regulations, and implementation of data governance policies

  Requirements:

• Bachelor's degree in Computer Science, Data Science, Mathematics, or a related field

• Basic understanding of data science concepts and workflows, including data preprocessing and feature engineering

• Proficiency with programming languages commonly used in data science, such as Python or R

• Familiarity with database systems (SQL, NoSQL) and data integration concepts

• Knowledge of machine learning frameworks and libraries (e.g., TensorFlow, Scikit-learn, PyTorch) is an advantage

• Experience or knowledge of ETL tools and pipeline design is an added bonus

• Strong analytical and problem-solving skills

• Excellent communication and teamwork abilities

• Eagerness to learn and adapt to new technologies and methodologies

תיאור המשרה:

• קבלת אורחים למשרד ואירוח פגישות

• טיפול במנהלות המשרד ואספקת ציוד שוטפת

• תפעול מייל משרדי ותיאום פגישות

• תכנון וניהול פעילויות רווחה

• סיוע במשימות אדמינסטרטיביות (לפי דרישה)

דרישות התפקיד:

• יחסי אנוש מעולים

• יכולת ניהול משימות מרובות מקצה לקצה

• ראש גדול, יוזמה ויצירתיות

• מעורבות בלתי נפרדת באקלים הארגוני

• ניסיון של לפחות שנה בניהול משרד ורווחה/משאבי אנוש- יתרון

Responsibilities:

• Prepare and preprocess data for AI models, develop features, build ML data pipelines, and collaborate with AI teams for model deployment and monitoring
• Integrate data from various sources, manage and optimize data storage solutions, and ensure data quality
• Optimize data processing systems for performance and cost-efficiency, and automate data processing tasks
• Work with data team, document data processes and infrastructure, and provide training and support
• Design, build, and maintain scalable ETL data pipelines
• Ensure data security, compliance with regulations, implement data governance policies, and monitor data infrastructure

Requirements:

• Bachelor's degree in Computer Science, Information Technology, or a related field
• Basic understanding of database systems (SQL, NoSQL)
• Experience or knowledge in data science – Advantage!
• Experience with programming languages such as Python, Java, .NET, etc.
• Familiarity with ETL tools and data integration concepts
• Strong analytical and problem-solving skills
• Excellent communication and teamwork abilities
• Eagerness to learn and adapt to new technologies and methodologies

Key Responsibilities:

• Lead the design, development, and maintenance of backend services and APIs that support our digital mortgage and credit risk products.

• Architect scalable and secure backend solutions using .NET, SQL, and other relevant technologies.

• Collaborate with cross-functional teams, including data engineers, data scientists, and frontend developers, to integrate complex models and AI-driven solutions into our production environment.

• Implement and optimize generative AI models and AI agents to enhance decision-making processes, automate workflows, and improve customer experiences.

• Optimize and refactor existing codebases for performance, reliability, and maintainability.

• Implement best practices for software development, including code reviews, testing, and continuous integration.

• Drive technical discussions and decisions, providing mentorship and guidance to junior team members.

• Ensure compliance with security, data privacy, and regulatory requirements in the financial services industry.

Qualifications:

• 5+ years of experience in backend development, with a strong focus on building scalable and high-performance applications.

• Proficiency in .NET, C#, SQL, and other relevant backend technologies.

• Experience with cloud platforms such as AWS, Azure, or Google Cloud.

• Solid understanding of software architecture principles, including microservices, RESTful APIs, and event-driven systems.

• Familiarity with generative AI models, AI agents, and machine learning frameworks is highly desirable.

• Experience in integrating AI-driven solutions into backend services and applications.

• Knowledge of data modeling, database design, and performance tuning.

• Experience with version control systems (e.g., Git) and CI/CD pipelines.

• Strong problem-solving skills and the ability to work independently in a fast-paced environment.

• Excellent communication and teamwork skills, with the ability to lead and collaborate effectively.

• Experience in the fintech industry or working with financial models and data is a plus.

תיאור המשרה:

• ליווי מקיף של תיקי משכנתה עד להעברת כספי ההלוואה
• ניתוח שמאות מקרקעין, היכרות עם הסכמי הלוואה והבנה משפטית ברישום בטוחות נדל”ניות
• בקרת מסמכים בנקאיים וביטוחיים
• מעקב ובקרה על התיק עד לשלב העברת הכספים
• עבודה מול ממשקים פנים ארגוניים ומתן מענה לשותפים עסקיים לגבי סטטוס הלוואות
• עבודה על ממשקי Office ומערכות מידע פנים ארגוניות

דרישות התפקיד:

• תואר ראשון רלוונטי בכלכלה/מנהל עסקים
• הבנה פיננסית בדגש על תחום המשכנתאות והמימון
• אסרטיביות, ראש גדול, יכולת עבודה תחת לחץ וניהול קשרי לקוחות
• אחריות ויסודיות, סדר וארגון
• עדיפות לבעלי ניסיון במשרות אשראיות אופציות קידום יינתנו למתאימים