People Tech Group Inc
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Role Overview: We are seeking a
Gen AI Engineer
with expertise in
Azure Cloud Foundry
to design, develop, and deploy AI-driven solutions. The ideal candidate will have experience working with
Azure AI services, LLMs, and cloud-based ML deployments
to build scalable and efficient AI applications. Key Responsibilities: Develop and deploy
Generative AI models
on
Azure Cloud Foundry
and other Azure AI services. Fine-tune and optimize
LLMs (Large Language Models)
for specific business use cases. Integrate AI models with
APIs, data pipelines, and cloud infrastructure
for seamless deployment. Implement
MLOps
best practices for model training, monitoring, and versioning. Ensure
security, scalability, and compliance
with cloud-based AI solutions. Collaborate with
cross-functional teams
including data scientists, cloud engineers, and developers. Required Skills & Qualifications: Hands-on experience with
Azure AI services , including
Azure OpenAI, Azure Machine Learning, and Cognitive Services . Experience with
Cloud Foundry
and deploying AI workloads on
Azure Kubernetes Service (AKS) . Strong programming skills in
Python, TensorFlow/PyTorch, or other AI frameworks . Familiarity with
MLOps tools , version control, and CI/CD pipelines for AI applications. Knowledge of
vector databases, embeddings, and fine-tuning of LLMs . Experience with
APIs, RESTful services, and integrating AI into cloud-native applications . Seniority level
Mid-Senior level Employment type
Full-time Job function
Information Technology Industries
IT Services and IT Consulting
#J-18808-Ljbffr
Role Overview: We are seeking a
Gen AI Engineer
with expertise in
Azure Cloud Foundry
to design, develop, and deploy AI-driven solutions. The ideal candidate will have experience working with
Azure AI services, LLMs, and cloud-based ML deployments
to build scalable and efficient AI applications. Key Responsibilities: Develop and deploy
Generative AI models
on
Azure Cloud Foundry
and other Azure AI services. Fine-tune and optimize
LLMs (Large Language Models)
for specific business use cases. Integrate AI models with
APIs, data pipelines, and cloud infrastructure
for seamless deployment. Implement
MLOps
best practices for model training, monitoring, and versioning. Ensure
security, scalability, and compliance
with cloud-based AI solutions. Collaborate with
cross-functional teams
including data scientists, cloud engineers, and developers. Required Skills & Qualifications: Hands-on experience with
Azure AI services , including
Azure OpenAI, Azure Machine Learning, and Cognitive Services . Experience with
Cloud Foundry
and deploying AI workloads on
Azure Kubernetes Service (AKS) . Strong programming skills in
Python, TensorFlow/PyTorch, or other AI frameworks . Familiarity with
MLOps tools , version control, and CI/CD pipelines for AI applications. Knowledge of
vector databases, embeddings, and fine-tuning of LLMs . Experience with
APIs, RESTful services, and integrating AI into cloud-native applications . Seniority level
Mid-Senior level Employment type
Full-time Job function
Information Technology Industries
IT Services and IT Consulting
#J-18808-Ljbffr