Full Stack Developer at Deloitte

Tel-Aviv, Tel-Aviv District, Israel -

Full Time

Start Date

Immediate

Expiry Date

27 Jan, 26

Salary

0.0

Posted On

29 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, AI Protocols, GenAI Engineering, LangChain, RAG, Vector Database, React, Node.js, Django, Cloud Technologies, AWS, Azure, GCP, Docker, Kubernetes, Problem-Solving, Analytical Skills

Industry

Business Consulting and Services

Description

Description We are seeking a talented Fullstack Developer with backend orientation. The ideal candidate will have professional experience programming in Python and a solid understanding of AI protocols and standards. In this role you will: Analyze complex problems, identify and define the computational requirements to solve them. Utilize your expertise in Python to architect scalable and efficient solutions. Utilize GenAI engineering tools such as LangChain, RAG, Vector Database for implementation and optimization. Stay updated with AI protocols and standards and ensure their correct application in projects. Collaborate with other team members to understand requirements and develop solutions, conduct code reviews, ensure code quality, and enforce best practices. Requirements 5+ years of professional experience as a Software Developer, with a focus on Python development. Experience with React and frontend development. Demonstrated experience or strong interest in working with Large Models (LLMs) and RAG such as GPT, etc. Knowledge of Backend Frameworks such as Node.js and Django. Experience with cloud technologies (e.g., AWS, Azure, GCP) and using Docker and Kubernetes. Experience working on global teams collaborating via tools such as Jira, Teams, ADO. Excellent problem-solving and analytical skills. Degree in Computer Science or a related field. Advanced level of English. Full time Job Location: Tel Aviv, Hybrid We at Deloitte believe that diversity and inclusion among our people is a critical component of our success and that is why we cultivate an organizational culture that contains and embraces diversity in all its forms. Description Hebrew Senior Full stack- R&D and Innovation Center Requirements Hebrew Role Overview Deloitte’s R&D Center in Israel is seeking an exceptional Data Science Lead with a PhD in Mathematics, Operations Research, Computer Science, or a related quantitative field. This role is ideal for candidates with a proven track record in formulating and solving complex numerical optimization problems, particularly in mixed integer programming (MIP), linear programming (LP), and related domains. You will play a pivotal role in driving innovation for our product and retail optimization teams, overseeing advanced analytics projects, and mentoring junior data scientists. Key Responsibilities Strategic Leadership • Oversee Data Science Initiatives: Lead the data science team’s workstreams, ensuring alignment with business objectives and technical excellence. • Execution Leadership: Direct optimization-focused teams, guiding solution design and delivery for asset, product, and placement optimization projects (e.g., planogram optimization, assortment and allocation optimization, whitespace/category optimization). Technical Excellence • Problem Formulation: Collaborate with stakeholders to translate business challenges into mathematical optimization problems. • Solver Implementation: Express complex optimization models in solver constraint languages (Gurobi, Pyomo, etc.), ensuring robust, scalable, and maintainable code. • Python Development: Build and maintain backend code integrating optimization solvers, leveraging Python for data manipulation, model orchestration, and automation. • Framework Expertise: Apply best practices in numerical optimization, leveraging industry-standard frameworks and libraries. Innovation & Thought Leadership • Recommender Systems: Contribute to the design and implementation of recommender systems and other advanced analytics solutions as needed. • Research & Development: Stay abreast of emerging trends in optimization, machine learning, and retail analytics, and champion their adoption within the team. Collaboration & Mentorship • Team Development: Mentor junior data scientists, fostering a culture of continuous learning and technical rigor. • Cross-Functional Collaboration: Work closely with product managers, engineers, and business stakeholders to deliver impactful solutions. Required Qualifications • PhD in Mathematics, Operations Research, Computer Science, or a related quantitative discipline (Masters degree are possible as well). • Deep expertise in formulating and solving numerical optimization problems (MIP, LP, etc.). • Hands-on experience with optimization frameworks such as Gurobi, Pyomo, CPLEX, or similar. • Proficiency in Python for backend integration and model development. • Track record of translating business problems into mathematical models and implementing end-to-end optimization solutions. • Excellent communication and stakeholder management skills. Preferred Qualifications • Experience in retail analytics: planogram optimization, assortment optimization, allocation optimization, whitespace/category optimization. • Familiarity with recommender systems and related machine learning techniques. • Prior leadership experience in data science or optimization teams. • Experience working in a global, cross-functional environment.

Responsibilities

The Full Stack Developer will analyze complex problems and define computational requirements to solve them. They will utilize their expertise in Python to architect scalable solutions and collaborate with team members to ensure code quality and best practices.