Job Title: AI Engineer
Location: Remote (LATAM - Preference Brazil based candidates)
Overview: We are seeking a skilled AI Engineer to design, develop, and deploy AI/ML models and agentic solutions tailored to specific business needs. The ideal candidate will have hands-on experience in fine-tuning pre-trained models, working with open-source AI frameworks, and optimizing AI solutions for scalability and performance. This role requires strong problem-solving skills and the ability to collaborate with cross-functional teams to integrate AI-driven solutions into existing workflows.
Key Responsibilities:
Design, develop, and deploy AI/ML models and agentic solutions, including custom models for specific use cases.
Fine-tune pre-trained models (e.g., GPT, BERT, etc.) to meet business requirements.
Leverage Microsoft Copilot Studio agentic solutions for AI-driven automation (experience in this area is a plus).
Utilize open-source AI frameworks and libraries, optimizing them for efficiency and scalability.
Develop pipelines for data preprocessing, feature engineering, and model training to support AI workflows.
Conduct research and stay up-to-date with the latest advancements in AI/ML, including generative AI and transformer-based architectures.
Collaborate with cross-functional teams to seamlessly integrate AI solutions into business applications and workflows.
Perform rigorous testing, validation, and optimization of AI models to ensure high reliability and accuracy.
Monitor deployed models, analyze performance metrics, and implement necessary improvements.
Mentor junior engineers, providing technical guidance and fostering a collaborative team environment.
Qualifications:
2+ years of experience in AI/ML development, including hands-on experience in training and deploying custom models.
Proficiency in Python and relevant AI/ML libraries such as TensorFlow, PyTorch, Hugging Face Transformers, Scikit-learn, etc.
Experience in fine-tuning large language models (LLMs) and working with pre-trained architectures.
Strong understanding of machine learning algorithms, neural networks, and natural language processing (NLP).
Familiarity with open-source AI tools and platforms (e.g., LangChain, OpenAI, Stable Diffusion).
Experience working with cloud-based AI/ML services such as AWS SageMaker, GCP Vertex AI, or Azure AI.
Knowledge of MLOps best practices, including version control, CI/CD pipelines, and model monitoring.
Strong analytical and problem-solving skills, with the ability to translate business problems into AI solutions.
Excellent communication skills and the ability to work collaboratively in a dynamic environment.
Preferred Qualifications:
Experience with Reinforcement Learning (RL) techniques and AI-driven decision-making frameworks.
Familiarity with vector databases and retrieval-augmented generation (RAG) techniques.
Exposure to AI ethics, bias mitigation, and explainable AI (XAI) methodologies.
Contributions to open-source AI projects or research publications in AI/ML.
This is an exciting opportunity to work on cutting-edge AI solutions, drive innovation, and make a tangible impact on our business operations. If you are passionate about artificial intelligence and eager to tackle challenging problems, we encourage you to apply!
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