AI and Machine Learning Engineer

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Design and develop agent-based architectures that facilitate autonomous reasoning, planning, and task execution.

• Create multi-agent systems for intricate workflows, encompassing coordination, negotiation, and goal-oriented behavior.

• Incorporate LLMs and reasoning engines into agentic frameworks for adaptive problem-solving.

• Ensure agents can securely and efficiently interact with APIs, databases, and external systems.

• Enhance agent performance for scalability, dependability, and rapid decision-making.

• Maintain data integrity and consistency across all initiatives.

• Integrate AI components into enterprise software systems and cloud platforms (AWS, Azure, GCP).

• Establish CI/CD pipelines for AI/ML deployments.

• Design, implement, and optimize machine learning algorithms for forecasting, classification, segmentation, resolving business challenges, and recommendation systems.

• Utilize supervised, unsupervised, and reinforcement learning techniques to address business issues.

• Conduct feature engineering, model selection, and hyperparameter tuning to achieve optimal accuracy.

• Implement real-time inference pipelines for production environments.

• Monitor and enhance model performance using MLOps best practices.

• Write reusable and well-structured code complemented by clear documentation.

• Compose documentation in white papers or academic publications for dissemination.

• Collaborate and work cross-functionally with IT, business leaders, Field Ops, and R&D data teams to gather and prioritize datasets to achieve strategic objectives.

• Communicate complex findings to non-technical audiences with clarity and precision.

• Effectively present actionable insights to both business and technical stakeholders.

• Stay informed about advancements in Agentic AI, LLM fine-tuning, and emerging machine learning algorithms.

• Experiment with prompt engineering, tool-augmented reasoning, and memory-enabled agents.

• Contribute to proof-of-concepts (POCs) and innovation projects for next-generation AI capabilities.

• Ensure all work adheres to GDPR and other UK/EU and international data protection regulations.

• Follow ethical guidelines and best practices for data management.

⛳️ Requirements

• A degree in AI, Machine Learning, computer science, statistics, or equivalent experience.

• Proficiency in programming languages such as Python, Typescript, and SQL.

• Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch).

• Understanding of agentic AI frameworks (e.g., Strands Agents, LangChain) and API development tools (e.g., PyDantic, FastAPI, Swagger).

• Strong knowledge of cloud platforms and/or Agentic AI platforms (AWS Bedrock, Azure, or Google Cloud).

• Experience applying deep learning algorithms to time series data and/or imaging data.

• Intermediate to advanced comprehension of geospatial data.

• Proficient in statistical and analytical skills with experience in hypothesis testing and predictive modeling.

• Familiarity with data privacy regulations, particularly GDPR.

• A proactive communicator capable of effectively liaising and aligning with stakeholders.

• Strong problem-solving and critical thinking abilities.

• Excellent proficiency in English, both written and verbal.

🏝️ Benefits

• Health insurance

• Flexible work hours

• Professional development opportunities