Urwah Admin

Cloudelligent

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 Position Title: Sr. AWS AI Engineer&nbsp;
 
 
 
 
 
 
 
 
 
 
 
 
 
 Location: Lahore
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 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:
 
 
 
 
 
 
 
 
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 Implement and fine-tune pre-trained AI models tailored to meet specific industry needs.
 
 
 
 
 
 
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 Utilize cloud-based AI services, particularly AWS Bedrock, Amazon SageMaker, Amazon Rekognition, and OpenAI, to streamline development and deployment processes.
 
 
 
 
 
 
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 Leverage AWS data services, including Amazon Athena, Amazon Redshift, OpenSearch, Kendra and AWS Glue, for efficient data processing and analysis.
 
 
 
 
 
 
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 Optimize AI models for performance, accuracy, and efficiency, ensuring they meet real-world requirements.
 
 
 
 
 
 
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 Apply techniques to reduce AI hallucination and enhance model reliability.
 
 
 
 
 
 
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 Utilize Retrieval-Augmented Generation (RAG) techniques to improve AI response quality.
 
 
 
 
 
 
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 Work with vector databases, specifically PostgreSQL with pgvector, for efficient similarity search and information retrieval in AI applications.
 
 
 
 
 
 
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 Collaborate with cross-functional teams to seamlessly integrate AI capabilities into our products and services.
 
 
 
 
 
 
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 Engage in prompt engineering to enhance model interaction and output quality.
 
 
 
 
 
 
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 Stay updated on the latest trends and advancements in AI technologies, contributing to the adoption of new tools and techniques.
 
 
 
 
 
 
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 Requirements:
 
 
 
 
 
 
 
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 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, AI, Machine Learning, or a related field.
 
 
 
 
 
 
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 5+ years of hands-on experience in AI/ML development with a strong focus on AWS-based AI services.
 
 
 
 
 
 
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 Advanced proficiency in Python and expertise in AI/ML frameworks such as TensorFlow, PyTorch, or Keras.
 
 
 
 
 
 
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 Extensive experience with AWS AI services, including Amazon SageMaker, AWS Bedrock, and integrating Azure OpenAI into cloud-based solutions.
 
 
 
 
 
 
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 In-depth knowledge of AWS data services, including Amazon Athena, Amazon Redshift, AWS Glue, and their application in AI/ML pipelines.
 
 
 
 
 
 
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 Expertise in Agentic Behavior in AI and deploying models using technologies like CrewAI, LangGraph, and Langchain.
 
 
 
 
 
 
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 Experience with vector databases and similarity search techniques for scalable AI solutions.
 
 
 
 
 
 
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 Understanding of AI/ML algorithms and architectures, including CNNs, RNNs, transformers, and experience building end-to-end solutions.
 
 
 
 
 
 
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 Expertise in data preprocessing, feature engineering, and model evaluation at scale.
 
 
 
 
 
 
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 Demonstrated ability to lead AI/ML projects and communicate complex ideas effectively to both technical and non-technical stakeholders.
 
 
 
 
 
 
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 Good to Have:
 
 
 
 
 
 
 
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 Experience with machine learning frameworks and libraries like TensorFlow, PyTorch, or Scikit-learn.
 
 
 
 
 
 
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 Knowledge of big data technologies such as Apache Spark or Hadoop.
 
 
 
 
 
 
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 Familiarity with data visualization tools and techniques.
 
 
 
 
 
 
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 Highly Desirable:
 
 
 
 
 
 
 
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 Relevant certifications (e.g., AWS Certified Machine Learning &ndash; Specialty, AWS Certified AI Practitioner).
 
 
 
 
 
 
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</div>

Sr. AWS AI Engineer

Join Cloudelligent and explore 1   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Cloudelligent

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Sr. AWS AI Engineer