
AI Engineering Lead
11 hours ago
Our ideal candidate will have a background in computer science or a related field and be well-versed in AI technologies.
- Design and implement scalable data intelligence platforms using the latest advancements in artificial intelligence.
- Develop and fine-tune Generative AI models for tasks such as text generation, content automation, and synthetic data creation.
Key Responsibilities:
Data Intelligence PlatformsDevelop and deploy AI solutions that integrate structured and unstructured data sources to create a unified view of business operations.
Generative AI ModelsUtilize machine learning algorithms to develop and fine-tune LLMs, GANs, Diffusion Models for applications including text generation, content automation, and synthetic data creation.
Collaboration and DeploymentWork with cross-functional teams including data engineers, ML engineers, and product managers to deploy AI solutions into production environments.
Skills and QualificationsTechnical Skills: Expertise in AKS, proficiency in Python, SQL, cloud platforms (AWS, Azure, or GCP), strong understanding of data modeling, ETL processes, MLOps.
Desired Qualifications: Experience with data pipelines, feature stores, model monitoring systems, prompt engineering techniques.
RequirementsExpertise in AI and ML technologies, ability to work in a fast-paced environment, excellent problem-solving skills, effective communication and collaboration skills.
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