Data Scientist Consultant – Generative AI & Advanced Machine Learning

Radix; Brasil; Teletrabalho; BRL 120.000 - 240.000; Tempo integral

Resumo da oferta

An innovative firm is seeking a Principal Data Scientist Consultant specializing in Generative AI and Advanced Machine Learning. This role offers the opportunity to lead strategic initiatives, develop cutting-edge AI solutions, and optimize advanced models for real-world applications. You will work in a collaborative environment, tackling high-level technical challenges while making a significant impact on global projects. If you are passionate about driving the next revolution in industrial AI and possess deep expertise in the field, this is the perfect opportunity for you to shine and innovate.

Serviços

High-level technical challenges

Opportunity to impact global projects

Collaborative culture

Continuous learning incentives

Competitive salary and benefits package

Qualificações

• Expertise in Generative AI, including LLMs and GANs.
• Strong experience in Python and MLOps for model deployment.

Responsabilidades

• Lead the Generative AI strategy and develop innovative solutions.
• Collaborate with teams to create high-impact AI-driven solutions.

Conhecimentos

Generative AI

Advanced Machine Learning

Python

Statistical Modeling

Leadership Skills

Communication Skills

Formação académica

Master's in Computer Science

Ph.D. in Statistics

Ferramentas

PyTorch

TensorFlow

SQL

AWS

GCP

Azure

Kubeflow

MLflow

SageMaker

Descrição da oferta de emprego

Data Scientist Consultant – Generative AI & Advanced Machine Learning

Published on FEBRUARY 14, 2025

Applications open until MAY 15, 2025

Job type: Remote

Also for PwD

About Radix

Radix is a leader in engineering, software, and data science solutions, operating globally to transform industrial data into strategic decisions. We are looking for a highly experienced Principal Data Scientist with deep expertise in Generative AI and Advanced Machine Learning to lead strategic initiatives and develop innovative solutions for complex challenges.

Responsibilities:

1. Define and lead the company’s Generative AI strategy, ensuring innovation and practical large-scale applications.
2. Develop and optimize advanced models such as LLMs, Diffusion Models, GANs, and other Generative AI architectures for various domains.
3. Build robust MLOps pipelines, from experimentation to deployment and model monitoring in production.
4. Collaborate closely with engineering, product, and business teams to develop high-impact AI-driven solutions.
5. Create frameworks, guidelines, and best practices for generative model development and governance.
6. Explore innovative approaches in interpretable ML, reinforcement learning, and AutoML to enhance and optimize AI solutions.
7. Act as a technical mentor for senior data scientists and influence strategic decisions within the company.
8. Represent Radix at industry events, technical publications, and global AI/ML conferences.

Mandatory Requirements:

1. Experience in data science, machine learning, and advanced AI.
2. Advanced or Fluent English Skills
3. Proven expertise in Generative AI, including LLMs (GPT, LLaMA, Mistral, Claude, etc.), GANs, Diffusion Models, VAEs, and their applications.
4. Strong experience in implementing foundation models at scale, fine-tuning, and adapting LLMs for enterprise applications.
5. Proficiency in Python (PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex, etc.) and SQL for large-scale data manipulation.
6. Experience with MLOps and cloud-based model deployment (AWS, GCP, or Azure) using frameworks like Kubeflow, MLflow, SageMaker, or equivalents.
7. Deep knowledge of statistical modeling, NLP, embeddings, RAG (Retrieval-Augmented Generation), and advanced deep learning techniques.
8. Experience in optimizing large-scale inference, including quantization, distillation, and acceleration techniques with GPUs/TPUs.
9. Strong communication and leadership skills to translate business challenges into scalable technical solutions.
10. Master’s or Ph.D. in Computer Science, Statistics, Mathematics, Engineering, or related fields.

Nice to Have:

1. Experience with Graph AI and Knowledge Graphs for industrial data modeling.
2. Significant contributions to Generative AI research, including scientific publications or open-source projects.
3. Experience in Edge AI and embedded AI for industrial applications.
4. Knowledge of Reinforcement Learning and Self-Supervised Learning.

What We Offer:

1. High-level technical challenges with the autonomy to innovate.
2. Opportunity to impact large-scale global projects.
3. Collaborative culture with continuous learning incentives.
4. 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!

Process stages

1. Step 1: Registration
2. Step 2: Interview
3. Step 3: Offer
4. Step 4: Hiring