Fresh remote Machine Learning Engineer jobs in Brazil

Explore latest remote Machine Learning Engineer opportunities from leading companies hiring in Brazil.

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Fresh remote Machine Learning Engineer jobs in Brazil (8)

AI Model Serving Specialist

8 days ago
Full-time
Brazil, Worldwide
Key requirements: NVIDIA Triton, vLLM, Kubernetes, GPU scheduling, CUDA/MIG, VMware VCF9, NSX-T, vSAN, Python, observability stacks, FinOps principles, RAG architectures, vector DBs, secure multi-tenant environments, problem-solving, customer-facing communication
Rackspace

Rackspace Technology is a San Antonio-based B2B cloud computing company specializing in multicloud solutions, data management, and security services for global enterprises.

Remote policy: Rackspace Technology supports remote work and hires globally, with team members located in various regions including North America, Europe, and Asia. Specific roles may have location requirements, such as being based in certain areas of Mexico.

AI Engineer - APIs & Automation (Remote)

8 days ago
Full-time
Brazil, Worldwide
Key requirements: 3 years of experience, AI model integration, API integration (REST, GraphQL), Automation platforms (Zapier, Make, n8n), Python or JavaScript proficiency, Cloud environments (AWS, GCP, Azure), Problem-solving and system design skills
HireHawk

HireHawk is a global B2B recruitment platform headquartered in the Philippines, specializing in sourcing and managing remote contractors for U.S.-based companies across various industries.

Remote policy: HireHawk supports fully remote work and hires globally, with a focus on candidates in various regions such as the Philippines, while requiring alignment with U.S. business hours (PST).

Senior Machine Learning Engineer

10 days ago
Full-time
Brazil, Worldwide
$120,000 to $160,000 per year
Key requirements: Python, PyTorch, Diffusion models, LLMs, Multimodal architectures, Fine-tuning (LoRA, PEFT), Optimizing inference workloads, Model evaluation, Debugging performance issues, Systems thinking
Runware

Runware is a developer-focused AI infrastructure platform providing a B2B SaaS API for generative media, headquartered remotely, serving the global market.

Remote policy: Runware is a remote-first company, allowing employees to work from anywhere we can employ them, with core collaboration hours and twice-yearly in-person meetings. We support flexible working hours to help you perform at your best.

Software Engineer, AI (Senior/Staff)

14 days ago
Full-time
Brazil, North America, South America, Singapore, Germany, France, India, Netherlands, Ireland, Philippines, Spain, Italy, Poland, Portugal, Belgium, Malta, Romania, Ukraine, Serbia, Sweden, Norway, Finland, Denmark, Switzerland, Austria, Taiwan, Malaysia, Japan, South Korea, Vietnam, Thailand, Indonesia, Pakistan, Sri Lanka, Bangladesh, Russia, Greece, Bulgaria, Lithuania, Czechia, Albania, Georgia, Armenia, Croatia
$120,000 to $180,000 per year
Key requirements: 5 years of experience, LLM-powered features, Prompt engineering, ML/AI systems, AI evaluation tooling, Python, Multi-Agent Systems, Fintech domain, Vector databases
Monarch Money

Monarch Money is a fully remote B2C financial management app that helps individuals track and optimize their personal finances, headquartered in an unspecified location, serving the US market.

Remote policy: Monarch Money is a fully remote company, welcoming applicants from various locations as long as they reside within a 5-hour time zone difference of US Pacific Time.

Senior AI Engineer (Document Extraction)

19 days ago
Full-time
Brazil, Worldwide
Key requirements: Document extraction systems, Evaluation frameworks, Data cleansing capabilities, Production-grade systems, End-to-end AI feature ownership, Collaboration with cross-functional teams, Improved experimentation practices
hyperexponential

Hyperexponential is a London-based insurtech B2B SaaS provider specializing in AI-driven pricing and underwriting solutions for the global commercial property-casualty insurance market.

Remote policy: Hyperexponential supports remote work and is hiring from various regions, including the US and Europe, with team members collaborating across time zones.

Data & AI Engineer (Remote)

20 days ago
Full-time
Brazil, Worldwide
Key requirements: 3 years of experience, Python, TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy, SQL, Airflow, Spark, Semiconductor datasets, Statistical modeling, Cloud environments, MLOps
FortifyIQ

FortifyIQ is a Salem, MA-based B2B company specializing in semiconductor security, offering hardware security IP cores and cryptographic solutions to protect against advanced attacks.

Remote policy: FortifyIQ supports fully remote work for various roles, hiring from multiple regions without specific geographic limitations.

MLOps Platform Engineer

20 days ago
Full-time
Brazil, Worldwide
$185,000 to $200,000 per year
Key requirements: 8 years of experience, Cloud-native infrastructure, MLOps experience, Kubernetes, Terraform, AI workload support, Infrastructure security, Technical leadership, Agentic systems
dv01

dv01 is a fintech company specializing in data analytics for structured finance, providing transparency and risk management tools to over 400 financial institutions globally.

Remote policy: dv01 operates in a remote-first environment, allowing team members to work from various locations, including their homes, cafes, or hotels. The company embraces flexibility in hiring, supporting candidates from diverse regions.

Engineer Intern, GenAI Research (Summer Internship)

21 days ago
Full-time
Brazil, Worldwide
Key requirements: Large language models, Supervised fine tuning, Machine learning pipelines, Python, Cloud environments (AWS/Azure), Technical problem solving, Research documentation
Appen

Appen is a Chatswood, Australia-based B2B data company specializing in AI data solutions, leveraging a global crowd to enhance AI applications across technology, eCommerce, and advertising industries.

Remote policy: Appen supports remote work and hires globally from various regions, with team members located in over 130 countries. The company promotes flexible scheduling to accommodate different time zones.