Negotiable
Outside
Remote
USA
Summary: The Sr MLOps Consultant role focuses on developing and managing DevOps/MLOps pipelines using cloud-native tools, particularly within Azure environments. The position requires hands-on experience with Azure services and a solid understanding of AWS services, along with expertise in data protection strategies and compliance standards. The consultant will also be involved in implementing CI/CD processes and monitoring solutions. This role is remote and classified as outside IR35.
Key Responsibilities:
- Develop and manage DevOps/MLOps pipelines using cloud-native tools.
- Implement and manage Azure services, particularly Azure OpenAI and Azure ML.
- Ensure effective cross-cloud communication setups with AWS services.
- Implement data protection strategies including masking, encryption, and tokenization.
- Oversee CI/CD processes and infrastructure-as-code practices.
- Utilize monitoring tools such as Azure Monitor and PrometheGrafana.
- Work with AI model pipelines and prompt management tools.
- Ensure compliance with standards like SOC 2, GDPR, and HIPAA.
Key Skills:
- Strong experience in DevOps/MLOps pipelines with cloud-native tools (Azure DevOps, GitHub Actions, Terraform).
- Hands-on experience with Azure services, especially Azure OpenAI and Azure ML.
- Good understanding of AWS services and cross-cloud communication setups.
- Experience implementing data protection strategies (masking, encryption, tokenization).
- Proficiency in CI/CD, infrastructure-as-code, and monitoring tools.
- Familiarity with AI model pipelines and prompt management tools.
- Knowledge of compliance standards like SOC 2, GDPR, HIPAA.
- Azure Certifications (e.g., AZ-104, AI-102, AZ-400) preferred.
- Experience in regulated enterprise environments preferred.
- Exposure to LLMOps tools and frameworks preferred.
- Strong documentation and advisory skills preferred.
Salary (Rate): undetermined
City: undetermined
Country: USA
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
Required Skills & Experience:
- Strong experience in DevOps/MLOps pipelines with cloud-native tools (Azure DevOps, GitHub Actions, Terraform, etc.).
- Hands-on experience with Azure services, especially Azure OpenAI, Azure ML, and networking.
- Good understanding of AWS services and cross-cloud communication setups.
- Experience implementing data protection strategies (masking, encryption, tokenization).
- Proficiency in CI/CD, infrastructure-as-code, monitoring (e.g., Azure Monitor, PrometheGrafana).
- Familiarity with AI model pipelines and prompt management tools.
- Knowledge of compliance standards like SOC 2, GDPR, HIPAA.
Preferred Qualifications:
- Azure Certifications (e.g., AZ-104, AI-102, AZ-400).
- Experience working in regulated enterprise environments.
- Exposure to LLMOps tools and frameworks (e.g., LangChain, PromptFlow, MLflow).
- Strong documentation and advisory skills.