Position Title : Sr. AWS AI Engineer
Location : Islamabad
Job Timings : 6pm-3am Pakistan Time (PKT)
About Cloudelligent
Cloudelligent is Cloud-native consultancy and AWS Advanced 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 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, AWS Certified AI Practitioner).#J-18808-Ljbffr