Scalable AI Platforms Developer

1 week ago

Pune, Maharashtra, India beBeeLargeLanguageModelEngineer Full time ₹ 28,00,000 - ₹ 35,00,000

Job Title: AI Platform Engineer

">
  • This role is part of the GenAI COE Team and involves building scalable AI platforms that are customer-facing.
  • The team will work on designing, developing, and deploying large language models for various applications.
  • A strong understanding of distributed systems and cloud-based infrastructure is required to ensure seamless integration of these models with existing systems.
  • The ideal candidate should possess experience with containerization using Docker and Kubernetes, as well as proficiency in ML Flow and Langchain for LLM orchestration.
  • The position also requires a deep understanding of GPU architectures and expertise in distributed training and serving of large language models.
">Required Skills and Qualifications">
  • Extensive knowledge of different LLM models, including Hugging Face OSS LLMs, GPT, Gemini, Claude, Mixtral, and Llama.
  • Expertise in DevOps and LLMOps practices, including familiarity with Kubernetes, Docker, FluentD, Kibana, Grafana, and Prometheus.
  • Strong background in databases and data warehouses, including DynamoDB, Cosmos, MongoDB, RDS, MySQL, PostGreSQL, Aurora, Spanner, and Google BigQuery.
  • Cloud certifications such as AWS Professional Solution Architect, AWS Machine Learning Specialty, Azure Solutions Architect Expert, or equivalent.
">Benefits">
  • Opportunity to work with cutting-edge technology and contribute to innovative projects.
  • Collaborative and dynamic work environment with experienced professionals.
  • Professional growth and development opportunities.
">Others">
  • Demonstrate proven expertise in model fine-tuning and achieve better latencies and accuracies in model results.
  • Have extensive knowledge of different LLM models and provide insights on the applicability of each model based on use cases.
  • Skill Matrix:
    • LLM: Hugging Face OSS LLMs, GPT, Gemini, Claude, Mixtral, Llama
    • LLM Ops: ML Flow, Langchain, Langraph, LangFlow, Flowise, LLamaIndex, SageMaker, AWS Bedrock, Vertex AI, Azure AI
    • Databases/Datawarehouse: DynamoDB, Cosmos, MongoDB, RDS, MySQL, PostGreSQL, Aurora, Spanner, Google BigQuery
    • Cloud Knowledge: AWS/Azure/GCP
    • Dev Ops (Knowledge): Kubernetes, Docker, FluentD, Kibana, Grafana, Prometheus
    • Cloud Certifications (Bonus): AWS Professional Solution Architect, AWS Machine Learning Specialty, Azure Solutions Architect Expert

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