AI Developer

Posted on June 2, 2025

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Job Description

  • ? Job Title: AI Developer � Contract
  • ? Positions Available: 5
  • ? Experience Required: 5+ Years
  • ? Location: Remote
  • ? Engagement Type: 6 Months (Extendable)
  • ? Working Hours: 8�9 hours/day
  • ? Project Overview:
  • Seeking experienced AI Developers to work on a cutting-edge AI SaaS platform. You will contribute to the design and development of scalable machine learning solutions that power intelligent automation and insights for clients globally.
  • ?? Key Responsibilities:
  • Design, develop, and deploy AI/ML models for real-time and batch processing.
  • Collaborate on building intelligent features in an AI-driven SaaS application.
  • Optimize model performance, and experiment with various algorithms.
  • Work with data scientists, backend developers, and DevOps engineers to operationalize models.
  • Maintain code quality and documentation in line with best practices.
  • Implement monitoring and retraining strategies for models in production.
  • Stay updated with advancements in AI/ML tools and techniques.
  • ? Required Skills:
  • Strong Python programming skills with frameworks like TensorFlow, PyTorch, or Scikit-learn.
  • Experience building and deploying machine learning models in production.
  • Understanding of NLP, computer vision, or predictive analytics.
  • Proficiency in data preprocessing, feature engineering, and model evaluation.
  • Experience with cloud services (AWS/GCP/Azure) and containerization (Docker/Kubernetes).
  • Familiarity with REST APIs and integration with frontend/backend systems.
  • Hands-on with Git, CI/CD pipelines, and agile development practices.
  • ? Good to Have:
  • Prior experience working on SaaS products.
  • Exposure to LLMs, OpenAI, or LangChain.
  • Experience with MLOps tools like MLflow, SageMaker, or Vertex AI.
  • Knowledge of vector databases (e.g., Pinecone, FAISS, Weaviate).

Required Skills

strong python programming skills with frameworks like tensorflow pytorch or scikit-learn. experience building and deploying machine learning models in production. understanding of nlp computer vision or predictive analytics. proficiency in data preprocessing feature engineering and model evaluation. experience with cloud services (aws/gcp/azure) and containerization (docker/kubernetes). familiarity with rest apis and integration with frontend/backend systems. hands-on with git ci/cd pipelines and agile development practices.