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AWS AI Engineer at Cloudelligent. Location Information: India. Position Title: AWS AI Engineer . Job Timings: 8am-5pm CST (Central Time, US) . Location: Remote, India. About Cloudelligent . Cloudelligent is Cloud-native consultancy and AWS Advanced consulting partner! We specialize in providing bespoke cloud solutions to the SMB & enterprise segments as well as the public sector (Non-Profit Organizations). Being a next-gen cloud service provider, Cloudelligent helps small businesses & medium/large enterprises to break free from hardware lifecycle and capital expenditures, allowing them to make the most out of their cloud investment. We have an international footprint with a diverse team of domain experts, and we are customer obsessed. . Job Objective . As an AI Engineer at Cloudelligent, you will drive the development of innovative artificial intelligence solutions. This role emphasizes the implementation, optimization, and deployment of AI models while collaborating with cross-functional teams to enhance our products and services. The ideal candidate will possess a strong foundation in both machine learning and deep learning. . Responsibilities: . Implement and fine-tune pre-trained AI models tailored to meet specific industry needs. . Utilize cloud-based AI services, particularly AWS Bedrock, Amazon SageMaker, Amazon Rekognition, and OpenAI, to streamline development and deployment processes. . Leverage AWS data services, including Amazon Athena, Amazon Redshift, OpenSearch, Kendra and AWS Glue, for efficient data processing and analysis. . Optimize AI models for performance, accuracy, and efficiency, ensuring they meet real-world requirements. . Apply techniques to reduce AI hallucination and enhance model reliability. . Utilize Retrieval-Augmented Generation (RAG) techniques to improve AI response quality. . Work with vector databases, specifically PostgreSQL with pgvector, for efficient similarity search and information retrieval in AI applications. . Collaborate with cross-functional teams to seamlessly integrate AI capabilities into our products and services. . Engage in prompt engineering to enhance model interaction and output quality. . Stay updated on the latest trends and advancements in AI technologies, contributing to the adoption of new tools and techniques. . Requirements: . Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, or a related field. . 4+ years of hands-on experience in AI/ML development. . Strong programming skills, particularly in Python, and familiarity with AI/ML frameworks such as TensorFlow, PyTorch, or Keras. . Experience with cloud-based AI services, especially AWS Bedrock, Amazon SageMaker, and Azure OpenAI. . Familiarity with AWS data services, including Amazon Athena, Amazon Redshift, and AWS Glue. . Knowledge of Agentic Behavior in AI, with experience in deploying models using CrewAI, LangGraph, and Langchain. . Familiarity with vector databases and similarity search techniques. . Solid understanding of various AI/ML algorithms and architectures, including but not limited to CNNs, RNNs, and transformers. . Experience in data preprocessing, feature engineering, and model evaluation. . Excellent problem-solving and communication skills. . Good to Have: . Experience with machine learning frameworks and libraries like TensorFlow, PyTorch, or Scikit-learn. . Knowledge of big data technologies such as Apache Spark or Hadoop. . Familiarity with data visualization tools and techniques. . Highly Desirable: . Relevant certifications (e.g., AWS Certified Machine Learning – Specialty).