Become A Machine Learning Engineer, Generative Ai
hace 3 semanas
Overview Become a Machine Learning Engineer, Generative AI & LLMs Expert at Factored. Founded by Andrew Ng and a team of experienced AI researchers, Factored is committed to addressing the global shortage of qualified AI & Machine‑Learning engineers, particularly in Latin America. About the Program We are launching a six‑week Boosting Program, a full‑time intensive experience designed to transform strong quantitative and coding skills into cutting‑edge expertise. Through asynchronous learning, synchronous sessions, and hands‑on practice, participants will build advanced capabilities in LLM concepts, frameworks, and agentic architectures. Responsibilities Lead End‑to‑End ML Development: Design, develop, and deploy advanced machine learning models focused on Retrieval‑Augmented Generation (RAG), LLMs, and Generative AI solutions. Build Intelligent Systems: Create and implement intelligent systems that integrate retrieval and generation techniques, enhancing performance and real‑world usability. Model Optimization & Deployment: Optimize complex NLP and deep learning models using PyTorch or TensorFlow for scalable production environments. Drive Innovation: Apply cutting‑edge methodologies such as prompt engineering, model fine‑tuning, and AI agent automation to push solution boundaries. Ensure Scalability: Work with AWS, GCP, or equivalent on‑premise platforms to guarantee reliable and scalable deployment of all AI systems. Cross‑Functional Collaboration: Partner closely with software engineers, data scientists, and product teams to integrate AI solutions into real‑world applications. Effective Communication: Clearly communicate complex engineering challenges and innovative solutions to both technical and business audiences. Qualifications Education: Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field. Experience: 5+ years of hands‑on experience in developing and deploying machine learning models, with 2+ years of direct experience in production NLP and deep learning models. Technical Stack: Strong Python skills, adherence to coding best practices, and deep proficiency with PyTorch/TensorFlow for deep learning and NLP applications. Generative AI Exposure: Expertise in Retrieval‑Augmented Generation (RAG) and other techniques to enhance AI model capabilities. Hands‑on Experience: LLMs and Generative AI frameworks (e.g., Hugging Face, OpenAI API, LangChain), prompting techniques, and AI agent automation workflows. Infrastructure: Experience with cloud computing (AWS, GCP) or equivalent on‑premise platforms for model deployment. Communication: Excellent communication skills, with the ability to articulate complex engineering concepts clearly and effectively to diverse audiences. Culture & Benefits At Factored, you will join an amazing team that supports you, a rich culture, shared success, and flexible work from home. We value honesty, transparency, freedom to learn, and a collaborative atmosphere where every voice matters. We invest heavily in career growth, professional development, and creating a high‑performing, fast‑growing business that redefines technical talent in Latin America. Apply & Future Opportunities Create a job alert to receive future opportunities straight to your email. Apply for this job #J Ljbffr. #J-18808-Ljbffr
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Xico, México Celanese International Corporation A tiempo completoOverview We are currently hiring a highly skilled and motivated Generative AI Engineer to join our talented engineering team. As a Generative AI Engineer, you will be responsible for developing and implementing cutting‑edge generative AI models to solve complex problems and drive innovation across our organization. You will work closely with data...
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