AI Solutions Architect

4 weeks ago


Bengaluru, Karnataka, India NETSACH GLOBAL Full time

About the Role

We are seeking a talented Data Science and AI Specialist to join our team at Netsach Global.

Job Summary

The successful candidate will be responsible for designing, developing, and implementing AI models and algorithms to solve complex problems and enhance business processes.

Key Responsibilities

  • Design and Develop AI Models: Create, implement, and deploy AI models and algorithms to solve business problems and improve processes.
  • Collaborate with Cross-Functional Teams: Work with data scientists, engineers, and business stakeholders to identify and solve problems using AI techniques.
  • Data Analysis and Preprocessing: Analyze and preprocess data for AI model training, ensuring high-quality and relevant data is used.
  • Optimize and Fine-Tune AI Models: Continuously optimize and fine-tune AI models for performance and accuracy, ensuring they meet business requirements.
  • Integrate AI Solutions: Integrate AI solutions into existing systems and applications, ensuring seamless integration and minimal disruption.
  • Stay Up-to-Date with AI Advancements: Stay current with the latest advancements in AI and machine learning technologies, applying new knowledge to improve AI solutions.
  • Conduct Research: Conduct research to identify new AI applications and opportunities, driving innovation and business growth.
  • Document AI Models and Processes: Develop and maintain documentation for AI models and processes, ensuring easy understanding and replication.
  • Provide Technical Support: Provide technical support and guidance on AI-related projects, ensuring successful implementation and deployment.

Requirements

  • Education: Bachelors or masters degree in computer science, Data Science, Artificial Intelligence, or a related field.
  • Experience: Proven experience as an AI Specialist, Machine Learning Engineer, or similar role.
  • Skills: Proficiency in programming languages such as Python, R, or Java, strong knowledge of machine learning frameworks and libraries, experience with data preprocessing, feature engineering, and model evaluation, excellent problem-solving skills and attention to detail, strong communication and collaboration abilities.
  • Certifications: Relevant certifications or publications in AI and machine learning are a plus.


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