Kavant Solutions

AI Engineer

Remote, US$110,088-$152,579Posted 1 day ago

Job Description

Overview

We are seeking a dynamic and innovative AI Engineer to join our forward-thinking technology team. In this role, you will be at the forefront of developing cutting-edge artificial intelligence solutions that drive business insights and operational efficiencies. Your expertise will help shape the future of AI applications across diverse platforms, ensuring scalable, robust, and impactful models. This position offers an exciting opportunity to work with state-of-the-art tools and frameworks in a collaborative environment dedicated to technological excellence and innovation.

Duties

  • Design, develop, and optimize AI models using frameworks such as TensorFlow and machine learning/AI-based analysis tools to solve complex business problems.
  • Implement scalable machine learning solutions leveraging cloud services like AWS and machine learning cloud platforms for model training, deployment, and management.
  • Conduct statistical modeling and analysis using tools such as SAS, R, and statistical analysis software to extract actionable insights from large datasets.
  • Develop data pipelines with ETL processes, utilizing Talend, Bash (Unix shell), Hadoop, Spark, and other big data systems to prepare data for analysis.
  • Collaborate with data engineers to design efficient SQL databases and database schemas that support high-performance data analytics.
  • Apply natural language processing (NLP) techniques for text analysis and generative AI applications to enhance product features or customer engagement strategies.
  • Evaluate AI models through rigorous model evaluation techniques, predictive modeling analysis, and scalability testing to ensure optimal performance across platforms.
  • Deploy AI models into production environments with a focus on model deployment best practices, model monitoring, and continuous improvement cycles.
  • Engage in data mining activities to uncover hidden patterns within large datasets using big data systems like Hadoop and

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