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You will be updated with latest job alerts via emailAddepto is a leading consulting and technology company specializing in AI and Big Data helping clients deliver innovative data projects. We partner with top-tier global enterprises and pioneering startups including Rolls Royce Continental Porsche ABB and WGU. Our exclusive focus on AI and Big Data has earned us recognition by Forbes as one of the top 10 AI consulting companies.
What you will do:
Serve as a technical advisor during pre-sales and early engagement stages helping clients understand whats possible with AI/LLMs and how it aligns with their strategic business goals.
Lead or support technical discovery sessions clarifying business problems identifying solution patterns and assessing feasibility.
Design and communicate high-level solution architectures including LLM integrations AI/ML solution designs retrieval-augmented generation (RAG) vector databases orchestration pipelines and data flows.
Create and deliver technical PoCs and PoVs demo narratives and early prototypes to support proposals and shape delivery.
Contribute to internal R&D by evaluating emerging AI tools libraries and frameworks and distilling insights for internal use and client recommendations.
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.
What youll need to succeed in this role:
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 platforms consulting services solution engineering or cloud architecture.
Foundational understanding of public cloud platforms (AWS Azure GCP) with experience deploying cloud-based AI solutions.
Comfortable working across multiple clients and projects often in parallel with strong organizational and time management skills.
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.
Strong communication skills with the ability to simplify complex concepts for diverse audiences including data scientists engineers and non-technical stakeholders.
Excellent English (at least C1 level).
Excellent time management and multitasking ability comfortable working across several customer projects and internal teams.
Nice to have:
Exposure to or interest in sales processes technical demos and customer-facing engagements.
Discover our perks & benefits:
Work in a supportive team of passionate enthusiasts of AI & Big Data.
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 including a partnership with Databricks which offers industry-leading training materials and certifications.
Choose from various employment options: B2B employment contracts or contracts of mandate.
Make use of 20 fully paid days off available for B2B contractors and individuals under contracts of mandate.
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.
With our backing you can boost your personal brand by speaking at conferences writing for our blog or participating in meetups.
Experience a smooth onboarding with a dedicated buddy and start your journey in our friendly supportive and autonomous culture.
Your application has been successfully submitted!
Full-Time