AI Developer

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Wizeline

📍Remote - Mexico

Summary

Join Wizeline's dynamic team as an AI Developer specializing in generative AI and large language models (LLMs). This critical role involves designing, developing, and deploying AI-driven solutions to solve complex business challenges. You will leverage your expertise in AI, ML, data, and software engineering to create scalable and ethical AI systems. The position combines software development, data engineering, and data science, focusing on generative AI techniques and state-of-the-art solutions. You will collaborate with cross-functional teams and manage the full AI/ML project lifecycle. This role offers opportunities for innovation and continuous learning within a supportive and inclusive environment.

Requirements

  • Bachelor’s or Master’s in Computer Science, AI, Data Science, or related field
  • Strong proficiency in Python, and AI frameworks such as TensorFlow and PyTorch
  • Experience with generative models (GANs, VAEs, LLMs), traditional machine learning algorithms, and natural language processing (NLP)
  • Experience with deep learning models
  • Proficiency in GenAI frameworks and orchestration tools such as LlamaIndex and LangChain
  • Experience with LLMOps and traceability platforms such as W&B, LangFuse, LangSmith, and DataBricks
  • Strong knowledge of unstructured and structured data preprocessing techniques and data engineering practices
  • Familiarity with big data tools and techniques for handling large datasets
  • Experience with Vector DBs such as Pinecone and Weaviate, and hybrid search systems combining keyword, fuzzy, and semantic search
  • Familiarity with indexing techniques and large-scale data retrieval systems
  • Proficiency in cloud computing and AI deployment on platforms like AWS, Google Cloud, or Azure, including evaluation and monitoring of AI models
  • Excellent problem-solving and analytical skills
  • Strong communication skills for effective teamwork and stakeholder engagement
  • Familiarity with the software development lifecycle (SDLC) and deployment strategies
  • Familiarity with the principles of ethical AI, including data privacy, algorithmic fairness, and transparency in AI systems
  • Familiarity with Gen AI evaluation frameworks and metrics

Responsibilities

  • Implement generative AI models such as GANs, VAEs, and LLMs for applications including content generation, data augmentation, and more
  • Conduct thorough data exploration and preprocessing to prepare high-quality datasets for AI implementation
  • Implement, develop, and optimize unstructured data preprocessing techniques for text, images, audio, and video data
  • Implement indexing techniques and data pipelines to support efficient retrieval and storage of large-scale unstructured and structured data
  • Collaborate with cross-functional teams to integrate AI solutions into existing products and workflows
  • Manage the full AI/ML project lifecycle from research and development to deployment and continuous optimization
  • Develop and maintain scalable AI/ML pipelines using AWS, Google Cloud, or Azure
  • Apply MLOps and LLMOps practices for system traceability, evaluation, and continuous improvement of AI systems
  • Ensure ethical AI development practices, focusing on fairness, transparency, and data privacy
  • Stay updated with the latest advancements in AI research and apply new techniques to ongoing projects
  • Develop and deploy APIs and services that integrate AI solutions into existing business systems, ensuring seamless interaction across platforms
  • Conduct prompt engineering and implement RAG (retrieval-augmented generation) for specific use cases
  • Implement and optimize AI/ML and GenAI tools for image processing, computer vision, semantic segmentation, and natural language processing (NLP)

Benefits

  • Competitive compensation
  • Industry-leading maternity and paternity leave
  • Wellness programs
  • Remote work opportunities
  • Continuous learning opportunities through Wizeline Academy
  • Cloud certifications
  • Mentorship
  • LinkedIn Learning
  • Udemy
  • In-house technical bootcamps developed by our experts in the field
  • Free virtual English and Spanish language classes
  • Immigration support

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