AI Architect

Job Details

Posted on: 
May 10, 2024
Job ID:

About the Company

Established in 2004, ALLSTARSIT was founded with a clear vision: to enhance the landscape of global IT employment by bridging the gap between companies and skilled professionals. The core belief was that assembling a team shouldn't be hindered by geographical constraints. Fast forward to the present day, ALLSTARSIT stands as an international outstaffing service provider committed to change the way businesses recruit, compensate, and oversee top talent worldwide. 

With operational hubs scattered across Europe, Asia, and LATAM, and its headquarters situated in San Francisco, US, the company boasts a workforce of over 1,000 adept professionals. Spanning across more than 20 countries, ALLSTARSIT offers a diverse range of skilled employees across various verticals, including AI, cybersecurity, healthcare, fintech, telecom, media, and so on.

About the Project

Our Partner is revolutionizing retail with their dynamic pricing B2B SaaS platform, leading the charge in automating and optimizing pricing strategies with AI-driven insights. Their comprehensive solution, embraced by retailers and brands across over 40 markets, delivers actionable pricing recommendations that drive business growth and profitability. Since 2018, they've been empowering a wide range of industries, including consumer electronics, beauty, and apparel, to seamlessly integrate pricing strategies across online and offline channels.



Years on the market

Team size and structure

Current technology stack

Required skills:

  • 5+ years of applied experience in designing and implementing AI/ML systems, and a proven track record of using data to drive business results.
  • Proficiency in python, SQL and large-scale data ecosystems (e.g., Hadoop, Spark).
  • Experience with data engineering principles, including ETL pipelines, data quality control and data scalability.
  • Experience with MLOps infrastructure: CI/CD, data & model versioning control, observability, deployment.
  • Strong working knowledge and expertise in machine learning, statistical modeling, and data mining.
  • A Master’s or higher in Computer Science, Physics, Applied Mathematics or a related field, demonstrating a strong foundation in analytical thinking.
  • Excellent communication and problem-solving skills.

Will be a plus:

  • Experience with AWS cloud platforms (Sagemaker, Athena, EMR).
  • Practical understanding of containerization with Docker and orchestration with Kubernetes.
  • A solid grasp of economic principles, such as demand & supply dynamics, price elasticity, and optimization strategies.
  • Hands-on familiarity with key python packages (e.g. polars/pandas, stats-models, scikit-learn, PyTorch, xgboost, etc.)

Scope of work:

You will strategically design, implement, and manage cloud-based AI/ML solutions that directly impact their customers' revenue and optimize pricing for millions of products across hundreds of brands. This role offers the opportunity to make a real difference in a dynamic, technology-driven company.


  • Design and develop end-to-end ML services and Generative AI solutions, including architecture, development, and the entire MLOps lifecycle.
  • Architect scalable and reliable systems with observability, logging and tracing to enable quick detection, understanding and resolution of run-time issues
  • Collaborate with diverse teams, both internal and external to the R&D group, to drive product innovation and client success.


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