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AI Engineer

Job Category: Data & AI
Job Type: Contract
Job Location: Remote

📝 Job Overview:

We’re seeking a skilled AI Engineer to design, develop, and implement intelligent solutions using machine learning, natural language processing, and automation frameworks. You’ll work on internal and client-facing projects to solve real-world problems using data-driven models and cloud-native AI services.


🔧 Responsibilities:

  • Design and develop machine learning models for classification, prediction, and recommendation systems
  • Use NLP techniques to process and analyze text data for use in chatbots, search engines, or automation
  • Build and deploy models using Pythonscikit-learnTensorFlow, or PyTorch
  • Integrate AI/ML solutions into applications using REST APIsGraphQL, or cloud services
  • Work with cloud AI tools (e.g., Azure Cognitive ServicesAWS SageMaker, or OpenAI APIs)
  • Collaborate with data engineers, analysts, and developers to define model objectives and inputs
  • Perform model training, validation, and performance tuning
  • Document solutions and provide client-facing presentations or demos

✅ Required Skills:

  • 3–5+ years of experience in AI/ML development
  • Proficient in Python and libraries like NumPypandasscikit-learnNLTKOpenCV
  • Experience with deep learning frameworks: TensorFlow, PyTorch, or Keras
  • Solid understanding of ML lifecycle: data prep, model training, testing, deployment
  • Knowledge of cloud-based AI services (Azure, AWS, or GCP)
  • Familiarity with APIs, containers (Docker), and version control (Git)
  • Strong problem-solving and algorithm development skills

💡 Preferred Qualifications:

  • Experience with Azure OpenAIOpenAI GPT API, or LangChain
  • Familiarity with MLOps pipelines and CI/CD for models
  • Bachelor’s or Master’s in Computer Science, Data Science, or related field
  • Background in computer vision, voice recognition, or reinforcement learning is a plus

🎁 What We Offer:

  • Competitive salary or hourly rate
  • Remote flexibility and project variety
  • Access to enterprise cloud environments and AI platforms
  • Certification/training budget
  • Opportunity to work on cutting-edge AI innovation projects

Apply for this position

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