Highly Skilled AI Infrastructure Specialist

6 hours ago

nashik, India beBeeDevOps Full time

Senior AI Platform DevOps EngineerWe are seeking an experienced professional to lead the development and maintenance of a highly available, scalable, modular AI platform.This is a full-time permanent position that can be performed 100% remotely. The successful candidate will be responsible for designing and building the AI platform using technologies such as Qdrant, Anyscale, and Ray to support LLM orchestration, vector search, and multi-agent frameworks.Maintaining core infrastructure to power conversational applications, AI agents, and analytics tools.Implementing workflows for Large Language Models, including inference pipelines, fine-tuning, caching, and evaluation for open-weight and hosted models.Deploying AI services on AWS with Kubernetes (EKS), Lambda, and ECS, ensuring scalability and resilience while optimizing vector databases and model runtimes for cost and performance.About This RoleThe ideal candidate should have at least 8 years of experience in Platform Engineering (Site Reliability / DevOps) with 3+ years in AI/ML platform development (MLOps). They should possess deep expertise in Python with strong design and debugging skills.Able to work independently and lead complex projects with excellent problem-solving, analytical, and communication skills.Familiarity with cloud platforms like AWS, GCP, or Azure, and knowledge of MLOps/AI DevOps tools like MLflow or Kubeflow is required.Candidate should be proficient in CI/CD, infrastructure as code (Terraform / CloudFormation).Familiarity with containerized applications and distributed orchestration frameworks.We're Looking For Someone WithHands-on expertise with CI/CD pipelines, model observability, and incident response for AI/ML services.Experience implementing and optimizing Platforms supporting large language model (LLM) pipelines with frameworks such as LangChain, LlamaIndex, Hugging Face Transformers, or similar.Knowledge of Scaling & Setting up Vector DB platforms such as Qdrant (or other vector DBs like Pinecone, Weaviate) for semantic search and embeddings management.We OfferA dynamic work environment with opportunities to grow and contribute to cutting-edge projects.Competitive compensation and benefits package.Ongoing training and professional development opportunities.A collaborative team culture with regular feedback and recognition.Flexible remote work arrangements.Access to the latest technologies and tools.A commitment to innovation and excellence.A supportive environment that encourages creativity and entrepreneurship.

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