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AI Architect - Python

AI Architect - Python

Intellectt IncDelhi, IN
17 days ago
Job type
  • Remote
Job description

Key Responsibilities :

  • Define and drive the AI architecture strategy aligned with business goals and technology standards.
  • Design end-to-end AI / ML solutions encompassing data ingestion, processing, modeling, deployment, and monitoring.
  • Evaluate and select appropriate AI frameworks, tools, and cloud services to meet project requirements.
  • Collaborate with data scientists, machine learning engineers, and software developers to integrate AI models into production systems.
  • Develop reusable AI components and frameworks to accelerate development and deployment.
  • Ensure AI solutions are scalable, secure, and maintainable, adhering to best practices and compliance standards.
  • Lead proof-of-concept projects and pilot AI technologies to demonstrate feasibility and value.
  • Guide the organization in adopting AI technologies and building AI capabilities through training and mentorship.
  • Monitor emerging AI trends, tools, and research to continuously enhance AI capabilities.
  • Work closely with IT and business teams to ensure seamless integration of AI solutions with existing infrastructure.

Required Qualifications :

  • Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or related field.
  • 7+ years of experience in software engineering, data science, or AI development.
  • 3+ years of experience in AI / ML architecture or AI solution design.
  • Strong expertise in AI / ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or similar.
  • Proficiency in programming languages such as Python, R, or Java.
  • Experience with cloud AI services like AWS SageMaker, Google AI Platform, Azure ML, or others.
  • Deep understanding of machine learning algorithms, natural language processing (NLP), computer vision, or other AI domains.
  • Familiarity with big data technologies (Hadoop, Spark) and data engineering pipelines.
  • Solid knowledge of software architecture principles, microservices, APIs, and containerization (Docker, Kubernetes).
  • Strong problem-solving skills and ability to translate complex business needs into technical AI solutions.
  • Excellent communication and leadership skills to work with cross-functional teams and stakeholders.

    • Preferred Qualifications :

  • Advanced degree (Masters or PhD) in AI, Machine Learning, Data Science, or related discipline.
  • Experience deploying AI solutions at scale in cloud or hybrid environments.
  • Knowledge of AI ethics, fairness, and governance frameworks.
  • Hands-on experience with automated machine learning (AutoML) and MLOps practices.
  • Prior experience leading AI teams or managing AI projects

    • (ref : hirist.tech)

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