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Addepto

Big Data, Machine Learning, Data Science, AI, MLOps and DataOps Services

Pre-Sales Engineer, AI & Big Data

Location

Poland

Posted

92 days ago

Salary

0

Seniority

Senior

Job Description

Pre-Sales Engineer, AI & Big Data

Addepto

• Serve as a technical advisor during pre-sales and early engagement stages, helping clients understand what’s possible with AI/LLMs and modern data platforms, and how these capabilities align with their strategic business goals. • Lead or support technical discovery sessions, clarifying business problems, identifying solution patterns, and assessing feasibility across both AI/ML and data platform initiatives. • Design and communicate solution architectures, including LLM integrations, AI/ML solution designs, retrieval-augmented generation (RAG), vector databases, orchestration pipelines, and data flows, as well as modern cloud data architectures such as data lakes, data warehouses, and big data processing solutions. • Create and deliver technical PoCs and PoVs, demo narratives, and early prototypes to support proposals and shape delivery, including solutions leveraging AI/ML as well as modern data engineering and analytics platforms. • Collaborate with sales, delivery, and engineering teams to ensure a smooth transition from pre-sales, through technical scoping and solution design, to hand-off to delivery teams and full implementation.

Job Requirements

  • Undergraduate degree or higher in Computer Science, Data Science, Engineering, or related field - or equivalent hands-on experience.
  • Proven experience in technical roles - e.g., exposure to AI/ML products, data platforms, consulting services, solution engineering, or cloud architecture.
  • Foundational understanding of public cloud platforms (AWS, Azure, GCP) with experience deploying cloud-based AI solutions and/or modern data platform architectures.
  • A strong foundational understanding of AI/ML workflows - from data preprocessing and model training to evaluation and deployment.
  • Familiarity with LLM-based applications, including embeddings, vector databases, and orchestration frameworks (e.g., LangChain, LlamaIndex).
  • Working knowledge of MLOps and orchestration tools like MLflow, Airflow, Kubeflow, Vertex AI, or SageMaker.
  • Proficiency in Python and experience with common AI/ML libraries such as pandas, scikit-learn, PyTorch, or TensorFlow.
  • Understanding of modern data architectures and data engineering concepts, including ETL/ELT pipelines, big data processing, and cloud data services.
  • Strong communication skills, with the ability to simplify complex concepts for diverse audiences, including AI engineers, data scientists, data engineers, and non-technical stakeholders.
  • Excellent English (at least C1 level).

Benefits

  • Engage with top-tier global enterprises and cutting-edge startups on international projects.
  • Enjoy flexible work arrangements, allowing you to work remotely or from modern offices and coworking spaces.
  • Accelerate your professional growth through career paths, knowledge-sharing initiatives, language classes, and sponsored training or conferences.
  • Choose your preferred form of cooperation: B2B or a contract of mandate, and enjoy 20 fully paid days off.
  • Participate in team-building events and utilize the integration budget.
  • Celebrate work anniversaries, birthdays, and milestones.
  • Access medical and sports packages, eye care, and well-being support services, including psychotherapy and coaching.
  • Get full work equipment for optimal productivity, including a laptop and other necessary devices.
  • Experience a smooth onboarding with a dedicated buddy, and start your journey in our friendly, supportive, and autonomous culture.

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