Data Scientist Consultant – Generative AI & Advanced Machine Learning

Who We Are

We are an international group of consultants united in the goal of helping our customers revolutionize their approach to engineering problems with the use of digital technologies. Combining automation and software development with “traditional” engineering, the companies we work with are able to obtain visibility into their own operations and control.

Radix is a global leader in engineering, software, and data solutions, delivering cutting-edge technology for large-scale industrial and enterprise environments. We are looking for a Distinguished Cloud Architect, a highly experienced professional with deep expertise in cloud infrastructure, multi-cloud strategies, and large-scale distributed systems. This role will drive strategic cloud architecture decisions, ensuring the scalability, security, and efficiency of mission-critical cloud environments.

Who We’re Looking For

Though over 1,800 strong (and growing!), Radix operates like anything but a large company. When you join our company, you will help us:

When you join our company, you will help us as a Data Scientist Consultant:

• Define and lead the company’s Generative AI strategy, ensuring innovation and practical large-scale applications.

• Develop and optimize advanced models such as LLMs, Diffusion Models, GANs, and other Generative AI architectures for various domains.

• Build robust MLOps pipelines, from experimentation to deployment and model monitoring in production.

• Collaborate closely with engineering, product, and business teams to develop high-impact AI-driven solutions.

• Create frameworks, guidelines, and best practices for generative model development and governance.

• Explore innovative approaches in interpretable ML, reinforcement learning, and AutoML to enhance and optimize AI solutions.

• Act as a technical mentor for senior data scientists and influence strategic decisions within the company.

• Represent Radix at industry events, technical publications, and global AI/ML conferences.

Mandatory Requirements:

• Experience in data science, machine learning, and advanced AI.

• Advanced or Fluent English Skills

• Proven expertise in Generative AI, including LLMs (GPT, LLaMA, Mistral, Claude, etc.), GANs, Diffusion Models, VAEs, and their applications.

• Strong experience in implementing foundation models at scale, fine-tuning, and adapting LLMs for enterprise applications.

• Proficiency in Python (PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex, etc.) and SQL for large-scale data manipulation.

• Experience with MLOps and cloud-based model deployment (AWS, GCP, or Azure) using frameworks like Kubeflow, MLflow, SageMaker, or equivalents.

• Deep knowledge of statistical modeling, NLP, embeddings, RAG (Retrieval-Augmented Generation), and advanced deep learning techniques.

• Experience in optimizing large-scale inference, including quantization, distillation, and acceleration techniques with GPUs/TPUs.

• Strong communication and leadership skills to translate business challenges into scalable technical solutions.

• Master’s or Ph.D. in Computer Science, Statistics, Mathematics, Engineering, or related fields.

Nice to Have:

• Experience with Graph AI and Knowledge Graphs for industrial data modeling.

• Significant contributions to Generative AI research, including scientific publications or open-source projects.

• Experience in Edge AI and embedded AI for industrial applications.

• Knowledge of Reinforcement Learning and Self-Supervised Learning.

What We Offer:

• High-level technical challenges with the autonomy to innovate.

• Opportunity to impact large-scale global projects.

• Collaborative culture with continuous learning incentives.

• Competitive salary and benefits package.

If you are an expert in Generative AI and want to lead the next revolution in industrial AI, come join Radix!