AI Engineer Job at Somewhere, Remote

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  • Somewhere
  • Remote

Job Description

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!

Job Tags

Remote job,

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