Machine Learning Consultant

JOB DESCRIPTION

Radix is a global leader in engineering, software, and data solutions, delivering cutting-edge AI and ML solutions for large-scale industrial and enterprise applications. We are looking for a Distinguished Machine Learning Engineer, a highly experienced professional with deep expertise in ML architecture, MLOps, and large-scale model deployment. This role will define and drive mission-critical AI/ML engineering strategies, ensuring scalability, reliability, and efficiency in production ML systems.

RESPONSIBILITIES AND ASSIGNMENTS

Responsibilities:

• Define and lead enterprise-wide ML engineering strategies, ensuring best practices for scalable, production-grade ML pipelines.

• Architect and optimize MLOps frameworks, integrating automation for model training, deployment, monitoring, and governance.

• Design and implement highly scalable ML systems, leveraging distributed training, model parallelism, and GPU/TPU acceleration.

• Develop and manage feature stores, real-time inference systems, and model versioning strategies.

• Lead the deployment of Generative AI models (LLMs, Diffusion Models, GANs, VAEs) in production, ensuring efficiency and cost optimization.

• Build and optimize cloud-native ML solutions across AWS (SageMaker), Azure (ML Studio), and GCP (Vertex AI).

• Establish best practices for model observability, explainability, and continuous performance monitoring.

• Oversee data pipelines for ML workflows, integrating streaming, batch processing, and federated learning architectures.

• Drive innovation in AI security, model robustness, adversarial defense, and responsible AI.

• Collaborate with data engineers, software developers, and research teams to deliver end-to-end AI/ML solutions.

• Lead AI/ML governance initiatives, ensuring compliance with GDPR, HIPAA, ISO 27001, and ethical AI principles.

• Act as a technical mentor and thought leader, influencing engineering teams, business stakeholders, and C-level executives.

• Represent Radix at global AI/ML conferences, industry panels, and high-impact client engagements.

Mandatory Requirements:

• Experience in machine learning engineering, AI infrastructure, or large-scale ML systems.

• Advanced or Fluent English Skills

• Expertise in MLOps, model lifecycle management, and CI/CD automation for AI/ML models.

• Strong experience with deep learning architectures, including transformers, diffusion models, graph neural networks, and reinforcement learning.

• Proficiency in Python (PyTorch, TensorFlow, JAX, Hugging Face, LangChain, LlamaIndex) and ML pipeline orchestration tools (Kubeflow, MLflow, Airflow).

• Deep knowledge of distributed computing for ML, including Ray, Dask, Spark, and Kubernetes-based ML workloads.

• Experience with real-time ML inference systems, including low-latency model serving (Triton Inference Server, TensorRT, ONNX Runtime, TorchServe).

• Strong understanding of model explainability (SHAP, LIME), bias detection, and fairness in AI.

• Expertise in cloud ML environments, optimizing costs and performance in AWS, Azure, and GCP.

• Experience in high-performance AI on specialized hardware (GPUs, TPUs, FPGAs).

• Strong software engineering skills, including scalable API design, microservices, and event-driven architectures for ML.

• Exceptional communication skills, with the ability to influence executives, AI/ML researchers, and engineering teams.

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, Engineering, or related fields.

REQUIREMENTS AND QUALIFICATIONS

Nice to Have:

• Experience with LLM fine-tuning, Retrieval-Augmented Generation (RAG), and enterprise Generative AI applications.

• Expertise in Federated Learning, Self-Supervised Learning, and Edge AI for industrial applications.

• Background in highly regulated industries, such as finance, healthcare, or energy.

• Open-source contributions, research publications, or patents in ML engineering, AI infrastructure, or deep learning.

• Certifications such as Google Professional Machine Learning Engineer, AWS Machine Learning Specialty, or Microsoft Certified: Azure AI Engineer Expert.

What We Offer:



• Opportunity to lead and shape mission-critical AI/ML architectures for global clients.

• High-impact technical challenges with full autonomy to define and drive AI/ML innovation.

• A collaborative environment that fosters technical excellence, innovation, and continuous learning.

• Competitive salary and executive-level benefits package.

If you’re a seasoned ML Engineer with deep expertise in AI infrastructure, MLOps, and scalable machine learning systems, join Radix and lead the future of AI innovation!

ADDITIONAL INFORMATION

Benefícios:

o  Plano de Saúde + Odontológico

o  Médico da empresa

o  Gympass (+3 dependentes)

o  Auxílio creche até 3 anos

o  Licença maternidade e paternidade estendidas

o  Auxílio home office

o  VR e/ou VA

o  Day off de aniversário

o  Universidade Corporativa

o  Convênio com instituições de ensino e cursos de idioma

o  Programa de treinamentos internos

o  Plano de Incentivos atrelado à avaliação de Desempenho.

A Radix está sempre no topo das Melhores Empresas para se trabalhar porque:

·   Temos profissionais comprometidos, dedicados, curiosos e inovadores.

·   O espírito de equipe é a nossa maior força. Trabalhamos de forma cooperativa e sabemos que estamos juntos, remando na mesma direção.

·   Temos um ambiente diverso, que valoriza equidade e inclusão.

·   Nossa jornada de trabalho é flexível e em quase todos os projetos é possível trabalhar de qualquer lugar do Brasil.

·   Valorizamos o bem-estar e o cuidado com as nossas pessoas, com programas de apoio à saúde mental, psiquiatra e médico consultor disponíveis.

Curtiu?

#VemPraRadix

Uma empresa global, movida à inovação e desafios 🚀

Presente em mais de 25 países, a Radix conecta pessoas, oportunidades, projetos e negócios no mundo todo. Nós criamos e transformamos conhecimento em resultados. 

Com times multidisciplinares e forte atuação em Engenharia, Automação, Desenvolvimento de Software e Produtos, TI Industrial e Consultoria, oferecemos serviços e soluções tecnológicas atendendo os mais variados setores da indústria. 

Desde a nossa fundação, em 2010, estamos na lista das Melhores Empresas para se trabalhar no Rio de Janeiro, no Brasil e na América Latina. Aqui, a gente investe em criatividade, diversidade, capacitação e desenvolvimento de carreira. Quando um radixer cresce, nós crescemos também e, juntos, dobramos de tamanho nos últimos dois anos. 

A rotina da Radix é dinâmica, colaborativa e Everywhere, com profissionais atuando de 23 estados do Brasil, além de Estados Unidos, Europa e Asia. Nosso modelo de trabalho possibilita o equilíbrio para pessoas que estão sempre em movimento, gostam de liberdade e vivem a tecnologia e a inovação sem fronteiras. 

Somos inquietos, entusiastas da mudança e abraçamos a transformação sem perder os valores que guiam nossa trajetória: relações de longo prazo, foco nas pessoas, ética, agilidade e comprometimento.  

Vem com a gente se conectar ao seu futuro, #VemSerRadix.