Overview
On Site
USD160,000 - USD170,000
Full Time
Skills
AI Engineer
Job Details
job summary:
location: ,
job type: Permanent
salary: $160,000 - 170,000 per year
work hours: 9am to 6pm
education: Bachelors
responsibilities:
qualifications:
skills: As an AI Engineer, you will play a key role in the hands-on development and deployment of automation pipelines, machine learning models, and generative AI solutions to address complex challenges across multiple functional areas of our global business. This is a unique opportunity to work at the forefront of AI innovation and deliver measurable impact across our entire portfolio.
As an AI Engineer, you will play a key role in the hands-on development and deployment of automation pipelines, machine learning models, and generative AI solutions to address complex challenges across multiple functional areas of our global business. This is a unique opportunity to work at the forefront of AI innovation and deliver measurable impact across our entire portfolio.
What will you be doing?
- Design and develop AI and machine learning models for tasks such as classification, prediction, NLP, computer vision, and optimization.
- Build and maintain scalable machine learning pipelines.
- Monitor model performance and retrain as needed to maintain accuracy and efficiency.
- Document model development, experiments, and performance evaluations.
- Stay current with trends and advancements in AI/ML technologies.
Who are You?
- BS, MS or PhD in Computer Science, Engineering, Mathematics, or a related field
- 5+ years of experience designing and building AI/ML systems, with a strong grasp of modern data architectures.
- Strong understanding of ML models for classification, prediction, NLP, Computer Vision and optimization.
- Deep hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn, along with familiarity with MLOps best practices with proven track record of deploying production-scale AI/ML systems.
- Strong understanding of Systems Architecture and containerization technologies such as Docker and Kubernetes.
- Demonstrable expertise in Generative AI technologies (e.g., RAG, GPT wrappers, fine-tuning).
- Functional understanding of APIs and UI/UX systems, with exposure to JavaScript frameworks like Vue and React.
- Proficiency with cloud platforms (e.g., Azure, AWS, Google Cloud Platform).
- Experience with data pipeline orchestration tools (e.g., Apache Airflow) and database systems (SQL/NoSQL), including OLAP solutions
What competencies will you need?
- Strong communication and collaboration skills.
- ability to thrive in a large complex global environment
location: ,
job type: Permanent
salary: $160,000 - 170,000 per year
work hours: 9am to 6pm
education: Bachelors
responsibilities:
As an AI Engineer, you will play a key role in the hands-on development and deployment of automation pipelines, machine learning models, and generative AI solutions to address complex challenges across multiple functional areas of our global business. This is a unique opportunity to work at the forefront of AI innovation and deliver measurable impact across our entire portfolio.
What will you be doing?
- Design and develop AI and machine learning models for tasks such as classification, prediction, NLP, computer vision, and optimization.
- Build and maintain scalable machine learning pipelines.
- Monitor model performance and retrain as needed to maintain accuracy and efficiency.
- Document model development, experiments, and performance evaluations.
- Stay current with trends and advancements in AI/ML technologies.
Who are You?
- BS, MS or PhD in Computer Science, Engineering, Mathematics, or a related field
- 5+ years of experience designing and building AI/ML systems, with a strong grasp of modern data architectures.
- Strong understanding of ML models for classification, prediction, NLP, Computer Vision and optimization.
- Deep hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn, along with familiarity with MLOps best practices with proven track record of deploying production-scale AI/ML systems.
- Strong understanding of Systems Architecture and containerization technologies such as Docker and Kubernetes.
- Demonstrable expertise in Generative AI technologies (e.g., RAG, GPT wrappers, fine-tuning).
- Functional understanding of APIs and UI/UX systems, with exposure to JavaScript frameworks like Vue and React.
- Proficiency with cloud platforms (e.g., Azure, AWS, Google Cloud Platform).
- Experience with data pipeline orchestration tools (e.g., Apache Airflow) and database systems (SQL/NoSQL), including OLAP solutions
What competencies will you need?
- Strong communication and collaboration skills.
- ability to thrive in a large complex global environment
qualifications:
As an AI Engineer, you will play a key role in the hands-on development and deployment of automation pipelines, machine learning models, and generative AI solutions to address complex challenges across multiple functional areas of our global business. This is a unique opportunity to work at the forefront of AI innovation and deliver measurable impact across our entire portfolio.
What will you be doing?
- Design and develop AI and machine learning models for tasks such as classification, prediction, NLP, computer vision, and optimization.
- Build and maintain scalable machine learning pipelines.
- Monitor model performance and retrain as needed to maintain accuracy and efficiency.
- Document model development, experiments, and performance evaluations.
- Stay current with trends and advancements in AI/ML technologies.
Who are You?
- BS, MS or PhD in Computer Science, Engineering, Mathematics, or a related field
- 5+ years of experience designing and building AI/ML systems, with a strong grasp of modern data architectures.
- Strong understanding of ML models for classification, prediction, NLP, Computer Vision and optimization.
- Deep hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn, along with familiarity with MLOps best practices with proven track record of deploying production-scale AI/ML systems.
- Strong understanding of Systems Architecture and containerization technologies such as Docker and Kubernetes.
- Demonstrable expertise in Generative AI technologies (e.g., RAG, GPT wrappers, fine-tuning).
- Functional understanding of APIs and UI/UX systems, with exposure to JavaScript frameworks like Vue and React.
- Proficiency with cloud platforms (e.g., Azure, AWS, Google Cloud Platform).
- Experience with data pipeline orchestration tools (e.g., Apache Airflow) and database systems (SQL/NoSQL), including OLAP solutions
What competencies will you need?
- Strong communication and collaboration skills.
- ability to thrive in a large complex global environment
skills: As an AI Engineer, you will play a key role in the hands-on development and deployment of automation pipelines, machine learning models, and generative AI solutions to address complex challenges across multiple functional areas of our global business. This is a unique opportunity to work at the forefront of AI innovation and deliver measurable impact across our entire portfolio.
What will you be doing?
- Design and develop AI and machine learning models for tasks such as classification, prediction, NLP, computer vision, and optimization.
- Build and maintain scalable machine learning pipelines.
- Monitor model performance and retrain as needed to maintain accuracy and efficiency.
- Document model development, experiments, and performance evaluations.
- Stay current with trends and advancements in AI/ML technologies.
Who are You?
- BS, MS or PhD in Computer Science, Engineering, Mathematics, or a related field
- 5+ years of experience designing and building AI/ML systems, with a strong grasp of modern data architectures.
- Strong understanding of ML models for classification, prediction, NLP, Computer Vision and optimization.
- Deep hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn, along with familiarity with MLOps best practices with proven track record of deploying production-scale AI/ML systems.
- Strong understanding of Systems Architecture and containerization technologies such as Docker and Kubernetes.
- Demonstrable expertise in Generative AI technologies (e.g., RAG, GPT wrappers, fine-tuning).
- Functional understanding of APIs and UI/UX systems, with exposure to JavaScript frameworks like Vue and React.
- Proficiency with cloud platforms (e.g., Azure, AWS, Google Cloud Platform).
- Experience with data pipeline orchestration tools (e.g., Apache Airflow) and database systems (SQL/NoSQL), including OLAP solutions
What competencies will you need?
- Strong communication and collaboration skills.
- ability to thrive in a large complex global environment
Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or an
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.