Korn Ferry
Principal AI Data Engineer
Korn Ferry, Denver, Colorado, United States,
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Principal AI Data Engineer.In this role, you will work within a scrum team to bring the designs and ideas to life for new or improved web applications. This work will support a mix of internal and external clients. You will work with clients, product managers, architects, software engineers, and more to plan, design, develop, test, and implement impactful solutions that support companies with one to millions of employees.As a Lead Developer, you will work closely with your team to lead and guide projects to success. You'll have a hands-on role designing, developing, debugging, and deploying software solutions where you can leverage your expertise with code complexities. You'll also serve as a mentor to the junior developers. In the senior role, you will balance the assigning of user stories through prioritization and consideration of the technical interests of each developer on the team.Responsibilities:Research new AI technologies, including cloud managed AI/ML services, generative AI services, and open-source trends, and help implement them.Collaborate with Architecture, Infrastructure and Data Science teams to translate their needs or challenges into production-grade Artificial Intelligence and Machine Learning deployment architectures for batch, real-time streaming deployments.Develop GenAI applications, leveraging open-source or proprietary large language models (LLMs) and following responsible AI practices.Write Python code for data preprocessing, processing unstructured data/documents, feature extraction, API calls, and application orchestration.Build CI/CD pipelines for ML models, AI products and data engineering pipelines with an emphasis on automated testing, version control, documentation and monitoring.Provide hands-on engineering and development support, including coding, testing, debugging, and deployment of solutions, as needed.Participate in the evaluation and selection of third-party vendors, tools, and services, as needed, to support AI solution development and implementation.Effectively communicate architectures and technical details with partners.Stay up to date with the latest trends and advancements in AI and ML and identify opportunities for the team to implement new models and technologies.Follow an agile development methodology including Software Development Lifecycle (SDLC) framework.Qualifications:You will have a Bachelor's or Master's degree in Computer Science, Engineering, or a related field preferred.Minimum of 5 years of experience in development, with a focus on cloud computing and AI/ML technologies.Strong knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) and services, including compute, storage, networking, and security. Hands-on experience working with services like EC2, RDS, IAM, Security Group, VPC etc.Experience developing data engineering and ML pipelines.Understanding of AI/ML features and building RAG solutions.Proficiency in building automations, integrations, jobs using CI/CD pipeline like Jenkins, Terraform, CDK, Boto3.Experience with programming languages, such as Python and familiarity with software development methodologies and tools (e.g., Git, Agile, DevOps).Excellent problem-solving, analytical, and communication skills, with the ability to effectively communicate complex technical concepts to both technical and non-technical audiences.Strong leadership and mentoring skills, with a demonstrated ability to guide and develop team members.Ability to work independently and collaboratively in a fast-paced, dynamic environment, managing multiple projects and priorities effectively.Familiarity with data privacy, security, and compliance requirements in the context of cloud and AI solutions.Continuous learning mindset and a passion for staying up to date with the latest trends and advancements in cloud and AI technologies.Title: Principal AI Data EngineerLocation: Remote
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Principal AI Data Engineer.In this role, you will work within a scrum team to bring the designs and ideas to life for new or improved web applications. This work will support a mix of internal and external clients. You will work with clients, product managers, architects, software engineers, and more to plan, design, develop, test, and implement impactful solutions that support companies with one to millions of employees.As a Lead Developer, you will work closely with your team to lead and guide projects to success. You'll have a hands-on role designing, developing, debugging, and deploying software solutions where you can leverage your expertise with code complexities. You'll also serve as a mentor to the junior developers. In the senior role, you will balance the assigning of user stories through prioritization and consideration of the technical interests of each developer on the team.Responsibilities:Research new AI technologies, including cloud managed AI/ML services, generative AI services, and open-source trends, and help implement them.Collaborate with Architecture, Infrastructure and Data Science teams to translate their needs or challenges into production-grade Artificial Intelligence and Machine Learning deployment architectures for batch, real-time streaming deployments.Develop GenAI applications, leveraging open-source or proprietary large language models (LLMs) and following responsible AI practices.Write Python code for data preprocessing, processing unstructured data/documents, feature extraction, API calls, and application orchestration.Build CI/CD pipelines for ML models, AI products and data engineering pipelines with an emphasis on automated testing, version control, documentation and monitoring.Provide hands-on engineering and development support, including coding, testing, debugging, and deployment of solutions, as needed.Participate in the evaluation and selection of third-party vendors, tools, and services, as needed, to support AI solution development and implementation.Effectively communicate architectures and technical details with partners.Stay up to date with the latest trends and advancements in AI and ML and identify opportunities for the team to implement new models and technologies.Follow an agile development methodology including Software Development Lifecycle (SDLC) framework.Qualifications:You will have a Bachelor's or Master's degree in Computer Science, Engineering, or a related field preferred.Minimum of 5 years of experience in development, with a focus on cloud computing and AI/ML technologies.Strong knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) and services, including compute, storage, networking, and security. Hands-on experience working with services like EC2, RDS, IAM, Security Group, VPC etc.Experience developing data engineering and ML pipelines.Understanding of AI/ML features and building RAG solutions.Proficiency in building automations, integrations, jobs using CI/CD pipeline like Jenkins, Terraform, CDK, Boto3.Experience with programming languages, such as Python and familiarity with software development methodologies and tools (e.g., Git, Agile, DevOps).Excellent problem-solving, analytical, and communication skills, with the ability to effectively communicate complex technical concepts to both technical and non-technical audiences.Strong leadership and mentoring skills, with a demonstrated ability to guide and develop team members.Ability to work independently and collaboratively in a fast-paced, dynamic environment, managing multiple projects and priorities effectively.Familiarity with data privacy, security, and compliance requirements in the context of cloud and AI solutions.Continuous learning mindset and a passion for staying up to date with the latest trends and advancements in cloud and AI technologies.Title: Principal AI Data EngineerLocation: Remote
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