AI Engineering Lead

hace 23 horas


Bogotá, Bogotá D.E., Colombia Tbwa ChiatDay Inc A tiempo completo
About the Role
As a seasoned AI Engineer, you will lead our AI initiatives and drive the development of innovative AI solutions across our products and services. You will be responsible for designing, implementing, and maintaining AI/ML models, particularly focusing on Large Language Models (LLMs) and other advanced AI technologies.

Main Responsibilities
1. Design, fine-tune, and deploy LLMs and other AI/ML models to solve complex business challenges. Optimize models for efficiency, scalability, and performance.
2. Implement prompt engineering, retrieval-augmented generation (RAG), and model fine-tuning strategies as needed.
3. Write clean, efficient, and well-documented code in Python, leveraging AI/ML frameworks such as TensorFlow, PyTorch, or Hugging Face.
4. Develop and maintain APIs and integrations that allow AI models to interact with internal and external systems. Ensure robust testing, debugging, and performance tuning of AI models and services.
5. Provide technical leadership and guidance on AI implementation best practices.
6. Collaborate with product managers, data engineers, and other stakeholders to align AI initiatives with business goals.
7. Stay updated on emerging AI technologies and trends to identify new opportunities.
8. Deploy and manage AI models in production environments using cloud platforms like Azure.
9. Implement MLOps best practices, ensuring continuous monitoring, retraining, and version control of AI models. Manage data pipelines for training and inference, ensuring high-quality and secure data handling.
10. Ensure AI models align with ethical standards, privacy regulations, and company policies. Conduct regular audits for model bias, fairness, and explainability.

Qualifications & Skills
Required:
1. 2+ years of experience in AI/ML engineering, with hands-on experience working with LLMs.
2. Strong programming skills in Python and experience with AI frameworks like TensorFlow, PyTorch, Hugging Face, LangChain, OpenAI API.
3. Experience deploying AI models in cloud environments (Azure or AWS).
4. Familiarity with MLOps tools for model deployment, monitoring, and lifecycle management. Knowledge of NLP, deep learning, and generative AI techniques.
5. Strong problem-solving skills and ability to work independently as the AI engineering lead.
6. Excellent communication skills to provide technical guidance and collaborate with cross-functional teams.

Why Work with Us
As a leading information security advisory and consulting firm, we offer a collaborative and growth-oriented environment with learning and development opportunities. Our team is passionate about delivering cutting-edge AI solutions that drive business results.
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