GenAI_engineer

Dear All,

MNC Product Based Company

Please see below more details about the job requirement..

Please follow this given below our company linkedin URL for more daily job updates

https://www.linkedin.com/company/hirednext-recruitment-service/

Job Details:

Experience Required: 4-7 Years(Relevant)

Notice Period: 0-Max 45 Days

Location: Bangalore

We are seeking a skilled and motivated LLMOps Engineer with 3-4 years of experience to join our Data & AI team. The ideal candidate will have hands-on experience in deploying, managing, and optimizing Large Language Models (LLMs) in production environments, with a strong background in cloud infrastructure (Azure and AWS), MLOps practices, and DevOps tooling

Key Responsibilities:

• Design, build, and maintain scalable and secure LLM pipelines for training, fine-tuning, and inference.
• Automate deployment and monitoring of LLMs using CI/CD pipelines and infrastructure-as-code (IaC) tools.
• Optimize model performance and cost-efficiency across Azure and AWS environments.
• Collaborate with data scientists, ML engineers, and DevOps teams to ensure seamless integration of LLMs into applications.
• Implement observability and monitoring tools for model drift, latency, and performance metrics.
• Manage model versioning, rollback strategies, and reproducibility using tools like MLflow, DVC, or Weights & Biases.
• Build KPIs to manage LLM model performance, develop FinOps dashboard, build I/O guardrails
• Ensure compliance with data governance, security, and privacy standards in cloud environments.

Evaluate and integrate third-party LLM APIs (e.g., OpenAI, Azure OpenAI, Anthropic) as needed

THATS WHY YOU ARE A MATCH

• Bachelors or Masters degree in Computer Science, Engineering, or a related field.
• 45 years of experience in MLOps, DevOps, or ML engineering roles.
• Strong hands-on experience with

  Azure (AKS, Azure ML, Azure OpenAI)

  and

  AWS (SageMaker, EKS, Lambda, S3)

  .
• Proficiency in Python, Bash, and infrastructure-as-code tools (Terraform, Bicep, CloudFormation).
• Experience with containerization and orchestration (Docker, Kubernetes).
• Familiarity with LLM frameworks (Hugging Face Transformers, LangChain, DeepSpeed).
• Experience with CI/CD tools (GitHub Actions, Azure DevOps, Jenkins).
• Strong understanding of model lifecycle management and deployment best practices.
• Familiarity with LLMOPs framework and prior knowledge on LibreChat.

Thanks & Regards,

keerthi@hirednext.info

www.hirednext.co