AI Infrastructure Strategist

1 week ago

Pune, Maharashtra, India beBeeArtificialIntelligence Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

Job Title:

AI Infrastructure Strategist

Description:

A business leader responsible for designing, developing, and implementing artificial intelligence (AI) infrastructure within an organization. The role involves leveraging machine learning, data science, and related technologies to transform business processes and drive innovation while considering ethical considerations and best practices.

Key Responsibilities:

  • Strategic planning: Define the overall AI strategy, identifying potential use cases and business opportunities for AI implementation across various departments.
  • Architecture design: Develop and document the technical architecture for AI systems, including data pipelines, model selection, training infrastructure, and deployment environments.
  • Technology selection: Evaluate and choose appropriate AI tools, frameworks, and platforms based on specific project requirements and organizational needs.
  • Data management: Oversee data collection, cleaning, labeling, and preparation for AI model training, ensuring data quality and governance.
  • Model development: Work with data scientists and machine learning engineers to design, train, and optimize AI models, including deep learning algorithms.
  • Integration and deployment: Integrate AI models into existing systems and applications, ensuring seamless functionality and scalability.
  • Performance monitoring: Monitor AI model performance in real-world scenarios, identify potential issues, and implement necessary adjustments.
  • Ethical considerations: Adhere to ethical guidelines related to data privacy, bias detection, and responsible AI development.

Required Skills and Qualifications:

  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • 5+ years of proven experience in big data, analytics, and data science.
  • Certification in Google Cloud AI Platform or Azure AI Engineer or similar AI tools.
  • Deep understanding of machine learning algorithms, statistical analysis, natural language processing, computer vision, and related AI technologies.
  • Expertise in programming languages like Python, Java, and experience with cloud computing platforms like AWS, Azure, or GCP.
  • Strong data analysis skills, including data cleaning, feature engineering, and model evaluation.
  • Ability to design and implement complex distributed systems, considering scalability and performance optimization.
  • Understanding of business needs and ability to translate them into actionable AI solutions.
  • Effective communication with both technical and non-technical stakeholders to explain complex AI concepts.
  • Comfortable working flexible shifts as per business needs

What We Offer:

  • Opportunity to work with cutting-edge AI technologies and projects.
  • Collaborative and dynamic work environment.
  • Professional growth and development opportunities.

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