Avenga
Avenga
5,001 – 10,000 Employees
ConsultingHealthcareManufacturing
Avenga is an international technology and software engineering company serving enterprises through consulting, product development, and digital transformation. Its teams build custom software, cloud, and integration solutions for complex challenges across consulting, manufacturing, and healthcare, drawing on the expertise of more than 6,000 professionals in multiple countries. Avenga also supports talent acquisition and career development within its organization.

Avenga Generative AI Specialist, Hybrid in Czechia

Build generative AI models, pipelines, and operational solutions at Avenga. Coordinate projects, guide stakeholders, lead testing, and help establish technical standards for GenAI adoption.

Description

  • Build and deploy generative AI models and algorithms using GPT, VAE, and GAN approaches
  • Partner with cross-functional teams to define AI project goals, requirements, and success criteria
  • Track developments in generative AI, machine learning, and deep learning
  • Improve model performance, scalability, and operational efficiency
  • Build and maintain pipelines for data preparation, feature extraction, training, and evaluation
  • Produce technical specifications, user documentation, reports, and presentations
  • Define development standards and best practices for generative AI initiatives
  • Mentor junior colleagues and provide technical direction
  • Promote regional GenAI use cases and collaborate with local stakeholders
  • Manage project schedules, milestones, deliverables, communications, and stakeholder reporting
  • Support planning for resources, budgets, and project risks
  • Serve as a GenAI subject-matter expert for information-systems innovation
  • Analyze data flows and workflows to identify business-unit requirements
  • Track and report the performance and outcomes of GenAI use cases
  • Conduct research and initial analysis for proposed GenAI projects
  • Set project scope, goals, and deliverables in line with business objectives
  • Collaborate with architects and developers to deliver operational systems for GenAI initiatives
  • Lead solution testing against business requirements and real-world use cases
  • Run training sessions and workshops to support GenAI adoption

Requirements

  • Demonstrated experience building and deploying generative AI models
  • Strong command of deep learning methods, including GPT, VAE, and GAN architectures
  • Professional proficiency in Python
  • Hands-on experience with TensorFlow, PyTorch, or Keras
  • Strong knowledge of data structures, algorithms, and software engineering fundamentals
  • Working familiarity with AWS, Google Cloud Platform, or Microsoft Azure
  • Experience with NLP methods and tools such as spaCy, NLTK, or Hugging Face
  • Familiarity with Matplotlib, Seaborn, or Plotly for data visualization
  • Proficiency with Angular, Java, and PostgreSQL
  • Practical knowledge of DevOps and CI/CD practices
  • Understanding of Agile or Scrum delivery methods
  • Ability to investigate and evaluate advances in generative AI
  • Ability to analyze and interpret complex datasets
  • Ability to communicate findings through clear reports and presentations
  • Strong analytical and problem-solving ability
  • Effective written and verbal communication skills
  • Proactive, self-directed, and collaborative approach in a fast-moving environment

Benefits

  • Equal-opportunity workplace welcoming people across race, ethnicity, gender identity, sexual orientation, disability, age, religion, and other characteristics
  • Respectful and inclusive team culture
  • Conversation with the talent team about career ambitions and company culture
  • Technical interview covering experience, strengths, and working approach
  • Potential customer interview for selected positions
  • Career growth opportunities and the chance to help shape the company’s future

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