Position Title: Sr. AWS AI Engineer Location: Lahore Timings: 8:00 am- 5:00 pm CST (US Central Time) About Cloudelligent Cloudelligent is Cloud-native consultancy and AWS Premier consulting partner! We specialize in providing bespoke cloud solutions to startups and SMBs. Being a next-gen cloud service provider, Cloudelligent helps businesses 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 a Sr. AWS 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. Additionally, this role will lead and manage a team of AI engineers, guiding their growth and ensuring the successful delivery of AI-driven solutions. 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. - 5+ years of hands-on experience in AI/ML development with a strong focus on AWS-based AI services. - Advanced proficiency in Python and expertise in AI/ML frameworks such as TensorFlow, PyTorch, or Keras. - Extensive experience with AWS AI services, including Amazon SageMaker, AWS Bedrock, and integrating Azure OpenAI into cloud-based solutions. - In-depth knowledge of AWS data services, including Amazon Athena, Amazon Redshift, AWS Glue, and their application in AI/ML pipelines. - Expertise in Agentic Behavior in AI and deploying models using technologies like CrewAI, LangGraph, and Langchain. - Experience with vector databases and similarity search techniques for scalable AI solutions. - Understanding of AI/ML algorithms and architectures, including CNNs, RNNs, transformers, and experience building end-to-end solutions. - Expertise in data preprocessing, feature engineering, and model evaluation at scale. - Demonstrated ability to lead AI/ML projects and communicate complex ideas effectively to both technical and non-technical stakeholders. Good to Have: - Experience implementing or integrating Amazon Connect with AWS AI Services to deliver intelligent customer engagement solutions. - 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 Generative AI Developer- Professional, AWS Certified Machine Learning – Associate, AWS Certified AI Practitioner).