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Artificial Intelligence / Machine Learning Engineer - AWS Cloud Services

Artificial Intelligence / Machine Learning Engineer - AWS Cloud Services

Awign Enterprise Pvt ltdMumbai
30+ days ago
Job description

We are seeking a highly skilled AI / ML Engineer with expertise in AWS AI / ML services and a strong understanding of Generative AI using Amazon Bedrock. The ideal candidate will have experience in building, deploying, and optimizing AI / ML models on AWS, integrating LLMs into applications, and leveraging AWS services for scalable AI solutions.

Key Responsibilities :

  • Design, develop, and deploy AI / ML models on AWS, leveraging SageMaker, Bedrock, and related services.
  • Build LLM-based applications using Amazon Bedrock and fine-tune models for specific use cases.
  • Implement RAG (Retrieval-Augmented Generation) and integrate vector databases like OpenSearch, Pinecone, or FAISS.
  • Develop scalable, production-ready ML pipelines using AWS services (Lambda, Step Functions, S3, DynamoDB, etc.).
  • Utilize Bedrock, SageMaker, and custom fine-tuned models to deliver business-driven AI solutions.
  • Work with cross-functional teams to integrate ML models into real-world applications.
  • Ensure AI solutions adhere to best practices for security, compliance, and cost optimization.
  • Stay updated with the latest trends in GenAI, prompt engineering, and AI model optimization.

Required Skills :

  • Strong expertise in AWS AI / ML stack Amazon Bedrock, SageMaker, Lambda, Step Functions, S3, DynamoDB, etc.
  • Experience with Generative AI models (GPT, Claude, Mistral, LLaMA, etc.) and fine-tuning techniques.
  • Hands-on experience in Python, TensorFlow, PyTorch, or Hugging Face.
  • Knowledge of vector databases and embedding models.
  • Experience in building secure and scalable AI applications using AWS.
  • Familiarity with MLOps practices, CI / CD for ML models, and cloud automation.
  • Strong problem-solving skills and ability to work in a fast-paced environment.

    • Good to Have :

  • Experience with LangChain, Prompt Engineering, and RAG techniques.
  • Understanding of data governance, AI ethics, and responsible AI practices.
  • Certification in AWS Machine Learning Specialty / Associate or relevant AI certifications.

    • (ref : hirist.tech)

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