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Sr. AWS AI Engineer (C1-425119)

Cloudelligent
Full-time
On-site
Lahore, Punjab, India
Engineering Jobs

Position Title: Sr. AWS AI Engineer (C1-425119)
Location: Lahore
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 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 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).