Senior Data Scientist (MLAI and GenAI)

الإسكندرية - مصر

الراتب شهرياً: لم يكشف

تاريخ النشر: نُشرت قبل 8 ساعة

عدد الوظائف الشاغرة: 1 عدد الوظائف الشاغرة

سجل للتقديم

ملخص الوظيفة

GenAI Development & Architecture

Design and build end-to-end Generative AI applications including RAG pipelines LLM orchestration and semantic search solutions
Collaborate with Product Managers and Engineering Leads to identify high-impact AI opportunities and translate them into scalable architectures
Apply best practices for distributed ML systems to ensure modularity maintainability and scalability
Optimize AI systems for latency cost-efficiency and data privacy
Establish and promote architectural standards for AI/ML services

MLOps & Production Excellence

Own the full lifecycle of ML models from experimentation to production deployment
Productionize models as scalable microservices using FastAPI Docker and Kubernetes (AKS)
Implement and promote MLOps best practices including CI/CD monitoring and data validation
Ensure systems are observable reliable and aligned with engineering and security standards
Translate complex AI concepts into practical implementable solutions for engineering teams

Collaboration & Engineering Culture

Work closely with Engineering Managers Data Scientists and Product teams to deliver impactful AI-driven features
Mentor and coach team members on software engineering best practices (OOP testing system design)
Establish technical guardrails and reference architectures for AI development
Foster a culture of experimentation knowledge sharing and evidence-based decision-making
Contribute to improving documentation and AI/ML knowledge across the organization

Hands-On Development & Innovation

Build proof-of-concepts and run technical experiments to validate new approaches
Contribute to design reviews and key architectural decisions involving AI/ML
Stay close to delivery teams to ensure solutions are practical and production-ready
Support the development of AI-powered features such as search recommendations and document intelligence

Qualifications :

Qualifications

5 years of experience in Data Science or ML Engineering with production deployment experience in SaaS environments
Strong expertise in GenAI architectures (RAG) and LLM orchestration frameworks (e.g. LangChain LlamaIndex)
Hands-on experience with vector databases (e.g. Pinecone Qdrant)
Expert-level Python skills with a focus on production-quality code (OOP testing logging)
Experience building APIs using FastAPI or Flask
Experience with Docker and Kubernetes (AKS) for deploying scalable services
Strong understanding of system scalability resilience and observability in ML pipelines
Deep knowledge of Microsoft Azure (Azure OpenAI Azure Machine Learning Azure DevOps)
Strong collaboration and communication skills with the ability to influence technical decisions

Nice to Have

Experience fine-tuning open-source LLMs (e.g. Llama 3 Mistral)
Experience with advanced information extraction (e.g. OCR document processing)
Familiarity with MLOps tools such as MLflow Kubeflow or DVC
Background in B2B eCommerce logistics or supply chain domains
Contributions to open-source AI/ML projects or a strong technical portfolio

Why youll love working here

Impact from day one Join a scale-up where your ideas shape how global businesses operate online.
Continuous learning Access a structured onboarding rated 9.1/10 by previous hires mentorship and feedback culture.
Hybrid flexibility Work from our office in Alexandria 3 days per week and from home 2 days.
Career growth Expand your technical and leadership scope in a company built for long-term success.

Additional Information :

Who we are

At Sana Commerce our values drive everything we do:

Champions of Our League We deliver lasting success balancing quick wins and long-term value
Supercharge Our Customers Were revolutionizing B2B commerce together helping our customers to lead and succeed
Determined to Grow We embrace challenges growing and raising the bar for ourselves and our industry
Bold Together We dare to be bold because we have each others back

Job descriptions can be tough to interpret. Even if you may not tick all the boxes we have ambitious plans and we encourage people who share our vision and look forward to growing with us. Apply now.

Remote Work :

Employment Type :

Full-time

GenAI Development & ArchitectureDesign and build end-to-end Generative AI applications including RAG pipelines LLM orchestration and semantic search solutionsCollaborate with Product Managers and Engineering Leads to identify high-impact AI opportunities and translate them into scalable architecture...

GenAI Development & Architecture

Design and build end-to-end Generative AI applications including RAG pipelines LLM orchestration and semantic search solutions
Collaborate with Product Managers and Engineering Leads to identify high-impact AI opportunities and translate them into scalable architectures
Apply best practices for distributed ML systems to ensure modularity maintainability and scalability
Optimize AI systems for latency cost-efficiency and data privacy
Establish and promote architectural standards for AI/ML services

MLOps & Production Excellence

Own the full lifecycle of ML models from experimentation to production deployment
Productionize models as scalable microservices using FastAPI Docker and Kubernetes (AKS)
Implement and promote MLOps best practices including CI/CD monitoring and data validation
Ensure systems are observable reliable and aligned with engineering and security standards
Translate complex AI concepts into practical implementable solutions for engineering teams

Collaboration & Engineering Culture

Work closely with Engineering Managers Data Scientists and Product teams to deliver impactful AI-driven features
Mentor and coach team members on software engineering best practices (OOP testing system design)
Establish technical guardrails and reference architectures for AI development
Foster a culture of experimentation knowledge sharing and evidence-based decision-making
Contribute to improving documentation and AI/ML knowledge across the organization

Hands-On Development & Innovation

Build proof-of-concepts and run technical experiments to validate new approaches
Contribute to design reviews and key architectural decisions involving AI/ML
Stay close to delivery teams to ensure solutions are practical and production-ready
Support the development of AI-powered features such as search recommendations and document intelligence

Qualifications :

Qualifications

5 years of experience in Data Science or ML Engineering with production deployment experience in SaaS environments
Strong expertise in GenAI architectures (RAG) and LLM orchestration frameworks (e.g. LangChain LlamaIndex)
Hands-on experience with vector databases (e.g. Pinecone Qdrant)
Expert-level Python skills with a focus on production-quality code (OOP testing logging)
Experience building APIs using FastAPI or Flask
Experience with Docker and Kubernetes (AKS) for deploying scalable services
Strong understanding of system scalability resilience and observability in ML pipelines
Deep knowledge of Microsoft Azure (Azure OpenAI Azure Machine Learning Azure DevOps)
Strong collaboration and communication skills with the ability to influence technical decisions

Nice to Have

Experience fine-tuning open-source LLMs (e.g. Llama 3 Mistral)
Experience with advanced information extraction (e.g. OCR document processing)
Familiarity with MLOps tools such as MLflow Kubeflow or DVC
Background in B2B eCommerce logistics or supply chain domains
Contributions to open-source AI/ML projects or a strong technical portfolio

Why youll love working here

Impact from day one Join a scale-up where your ideas shape how global businesses operate online.
Continuous learning Access a structured onboarding rated 9.1/10 by previous hires mentorship and feedback culture.
Hybrid flexibility Work from our office in Alexandria 3 days per week and from home 2 days.
Career growth Expand your technical and leadership scope in a company built for long-term success.

Additional Information :

Who we are

At Sana Commerce our values drive everything we do:

Champions of Our League We deliver lasting success balancing quick wins and long-term value
Supercharge Our Customers Were revolutionizing B2B commerce together helping our customers to lead and succeed
Determined to Grow We embrace challenges growing and raising the bar for ourselves and our industry
Bold Together We dare to be bold because we have each others back

Remote Work :

Employment Type :

Full-time

اعرض المزيد

المهارات المطلوبة

Laboratory Experience
Mammalian Cell Culture
الكيمياء الحيوية
Assays
Protein Purification
Research Experience
Next Generation Sequencing
البحث والتطوير
cGMP
Cell Culture
علم الأحياء الجزيئي
Flow Cytometry

قدم الآن

عن الشركة

Sana Commerce

Sana Commerce is a ready-to-use commerce platform engineered for B2B. We've paired decades of B2B expertise with smart, integrative software to help our customers easily bring complex processes online, unburden their teams and drive value faster. The result? A supportive, personaliz ... اعرض المزيد

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