Senior AI/ML Engineer – Technology

Truelogic Software

Senior AI/ML Engineer developing AI and ML solutions for a global insights firm. Designing advanced models and promoting AI adoption internally while collaborating with cross-functional teams.

Posted 7/15/2026full-timeRemote • 🇧🇷 BrazilSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and executing advanced AI/ML models, particularly with LLMs and RAG architectures, while effectively leading experimentation and promoting AI adoption across teams. Proficient in productionizing models with MLOps practices and writing production-grade Python code.

Highest-signal resume keywords

Advanced AI/ML Model DesignLLM and GenAI Systems DeploymentMLOps/LLMOps PracticesPython Programming for MLData Science and ML Engineering Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningModel OptimizationData EngineeringStatistical AnalysisModel Fine-TuningExperimental DesignData AnalysisVersion ControlExperiment TrackingProduction Deployment

Soft Skills

Effective CommunicationProject ManagementCollaborationEmpathyEducation and Empowerment

Tools & Technologies

LangChainLlamaIndexHuggingFace TransformersOpenAI APIsVector DatabasesCI/CD PipelinesRetrieval-Augmented GenerationAgentic WorkflowsMemory-Augmented SystemsMultimodal Embeddings

Industry Keywords

Data ScienceMachine Learning EngineeringConsumer DataMediaEntertainmentMarketing ResearchQuantitative FieldBehavioral DataAudience DataSurvey Data

Tech Stack

Tools & technologies

PythonReact

About the role

Key responsibilities & impact

Design and execute advanced AI/ML models – including fine-tuned LLMs and RAG architectures – for integration into both internal tooling and external client-facing products.
Lead experimentation efforts: clearly define hypotheses, design interpretable tests, analyze results rigorously, and communicate findings effectively.
Serve as the technical SME for GenAI/LLM-powered tools, from foundational architecture to model optimization and deployment.
Work with software and data engineering to productionize models and contribute to robust CI/CD pipelines with MLOps/LLMOps best practices.
Stay current on emerging methods in AI – e.g., agentic workflows, memory-augmented systems, multimodal embeddings – and bring those ideas to life in real-world applications.
Promote AI adoption internally by educating and empowering cross-functional partners while improving processes and workflows.
Manage your time and projects effectively, ensuring clear progress updates and proactive communication with collaborators.
Write production-grade Python code to support models, pipelines, and experimental frameworks.
Work with the highest degree of ethics and empathy, recognizing that AI can be a potentially disruptive force for organizations and individuals.

Requirements

What you’ll need

5+ years in data science, ML engineering, or related analytics roles.
Proven experience deploying machine learning models into production environments, ideally with LLMs or GenAI systems.
Bachelor’s or higher degree in a quantitative field such as Computer Science, Engineering, Statistics, Mathematics, or related field.
Experience working with consumer data, especially within media, entertainment, or marketing research contexts is a strong plus.
Proficiency working with modern ML frameworks and GenAI stacks (e.g., LangChain/LlamaIndex, HuggingFace Transformers, OpenAI APIs).
Experience building and fine-tuning models using domain-specific datasets, preferably including survey, behavioral, or audience data.
Familiarity with retrieval-augmented generation (RAG), vector databases, and agentic/multi-step reasoning workflows (e.g., ReAct, AutoGPT, MCP frameworks).
Comfortable implementing MLOps/LLMOps practices: version control, experiment tracking, model deployment, and monitoring.

Benefits

Comp & perks

100% Remote Work: Enjoy the freedom to work from the location that helps you thrive. All it takes is a laptop and a reliable internet connection.
Highly Competitive USD Pay: Earn an excellent, market-leading compensation in USD, that goes beyond typical market offerings.
Paid Time Off: We value your well-being. Our paid time off policies ensure you have the chance to unwind and recharge when needed.
Work with Autonomy: Enjoy the freedom to manage your time as long as the work gets done. Focus on results, not the clock.
Work with Top American Companies: Grow your expertise working on innovative, high-impact projects with Industry-Leading U.S. Companies.