Senior ML Engineer; GenAI

For our customer providing AI-Decisioning for Inventory, Merchandising and Pricing Optimization Solutions to retailers around the world, we are looking for Machine Learning Engineers!

Our customer is a fast-growing company providing AI-Decisioning for Inventory, Merchandising and Pricing Optimization Solutions to retailers around the world. This is an exciting time, as they are growing the client base, their product portfolio, and their teams to revolutionize the supply chain planning industry.

As a provider of award-winning enterprise-AI SaaS solutions that serve a growing international business with customers across the U.S., Europe, the Middle East, and East Asia, they make a measurable and meaningful difference for our customers every day.

Headquartered in the United States and with offices around the world, the team of 300+ people consists of young engineers and data scientists from the top CS and engineering programs working remotely out of our Istanbul, Philadelphia, Amsterdam, and Dubai offices.

For the journey ahead, we are looking to build up the team of bright minds further, and we are looking for Machine Learning Engineers to join the growing team globally. Europe and US based remote positions are available.

We are seeking highly skilled and motivated Machine Learning Engineers to develop Generative AI powered solutions on supply chain analytics domains and deploy as production systems that are used by many retailers and enterprise customers. You will be challenged to build loosely coupled, highly scalable and robust software solutions that can change and grow with our needs. You will be working with data scientist groups and act as the bridge by building pipelines and workflows to process large scale data and productize GenAI based features, Retrieval Augmented Generation (RAG) systems using cutting edge cloud, big data and LLM technologies.

• Develop “best-in-class” architecture, design and production artifacts by ensuring that the services and the components are: well-defined and modularized, secure, scalable, reliable, reusable, diagnosable, and actively monitored.
• Contribute to all phases of new developments including architecting, prototyping, productizing, testing and support.
• Adhere to and drive modern software engineering practices through code and design reviews, exercise Dev Ops principles to deploy, maintain and monitor production workflows and services to provide continuous delivery with high quality and actionable telemetry data.
• Stay educated on existing and state of the art technologies, and do proof of concept studies to evaluate technology fits relevant to our product requirements.
• Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress.
• Participates in design and code reviews within the feature areas, facilitates the discussion and alignments on architectural and strategic decisions.
• Play active role on end to end Machine Learning lifecycle, starting from prototyping to the deployment.
• Design, develop, and maintain RESTful APIs and backend services to support AI and machine learning models, ensuring high availability and performance.
• Deploy Generative AI and Traditional Machine Learning models into production and ensure seamless integration, scalability, and monitoring.
• Collaborate with data scientists to refine prompts that guide AI models in generating accurate and relevant outputs, tailoring prompts.
• Mentor junior developers with coaching and implementing orientation processes.

• 5+ years of work experience including SaaS systems
• Bachelor’s degree or higher in a related field
• Experience with Object Oriented Programming principles and strong coding skills on Python or any other OO programming languages.
• Skills on manually and programmatically interacting with data stored in traditional (relational) databases (MSSQL or Postgre
  
  SQL) as well as No
  
  SQL databases and/or columnar data formats.
• Solid understanding of machine learning & data science concepts
• Experience with developing and deploying end to end Machine Learning solutions including Machine…