Job Description
Key Responsibilities:
- Design and implement AI models and algorithms to address business challenges and opportunities.
- Collaborate with cross-functional teams (including data scientists, software engineers, and product managers) to integrate AI solutions into our products and services.
- Conduct data collection, preprocessing, and analysis to ensure the quality and integrity of data used in AI models.
- Stay up to date with the latest AI trends, tools, and best practices to continuously improve our AI capabilities.
- Evaluate and improve the performance of AI models through rigorous testing and validation.
- Document AI development processes, solutions, and results for knowledge sharing and future reference.
- Serve as the primary liaison for data labeling, managing communication with in-house teams and third-party vendors to ensure project alignment and high-quality data delivery.
- Create instructional materials for consistency in the labeling process, oversee multimedia content preparation while ensuring compliance, and conduct quality reviews for data accuracy.
- Strategically select labeling tools and advocate for additional resources, including hiring specialized personnel, to meet project demands efficiently.
- Assist in the mentoring and development of junior AI team members.
Experience:
- Bachelor/Masters in Statistics, Mathematics, Computer Science, Machine Learning, or related areas.
- 2-3 years of hands-on experience in AI and machine learning projects.
- Proven track record of developing and deploying AI models that have resulted in tangible business outcomes.
- Experience with machine learning frameworks (such as Tensor Flow, Py Torch) and libraries (like scikit-learn, pandas).
- Familiarity with cloud services (AWS, Google Cloud, Azure) for AI development and deployment is preferred.
- Strong understanding of data structures, algorithms, and software engineering principles.
- Experience in working with large datasets and deep learning architectures.
Personal Skills:
- Strong proficiency in programming languages such as Python.
- Deep understanding of machine learning algorithms and principles, including supervised and unsupervised learning, neural networks, and natural language processing.
- Excellent analytical and problem-solving skills.
- Ability to work collaboratively in a team environment and communicate effectively with both technical and non-technical team members.
- Strong organizational skills and the ability to manage multiple projects simultaneously.
- A continuous learner with a passion for staying at the cutting edge of AI technology.
- Design and implement AI models and algorithms to address business challenges and opportunities.
- Collaborate with cross-functional teams (including data scientists, software engineers, and product managers) to integrate AI solutions into our products and services.
- Conduct data collection, preprocessing, and analysis to ensure the quality and integrity of data used in AI models.
- Stay up to date with the latest AI trends, tools, and best practices to continuously improve our AI capabilities.
- Evaluate and improve the performance of AI models through rigorous testing and validation.
- Document AI development processes, solutions, and results for knowledge sharing and future reference.
- Serve as the primary liaison for data labeling, managing communication with in-house teams and third-party vendors to ensure project alignment and high-quality data delivery.
- Create instructional materials for consistency in the labeling process, oversee multimedia content preparation while ensuring compliance, and conduct quality reviews for data accuracy.
- Strategically select labeling tools and advocate for additional resources, including hiring specialized personnel, to meet project demands efficiently.
- Assist in the mentoring and development of junior AI team members.
Experience:
- Bachelor/Masters in Statistics, Mathematics, Computer Science, Machine Learning, or related areas.
- 2-3 years of hands-on experience in AI and machine learning projects.
- Proven track record of developing and deploying AI models that have resulted in tangible business outcomes.
- Experience with machine learning frameworks (such as Tensor Flow, Py Torch) and libraries (like scikit-learn, pandas).
- Familiarity with cloud services (AWS, Google Cloud, Azure) for AI development and deployment is preferred.
- Strong understanding of data structures, algorithms, and software engineering principles.
- Experience in working with large datasets and deep learning architectures.
Personal Skills:
- Strong proficiency in programming languages such as Python.
- Deep understanding of machine learning algorithms and principles, including supervised and unsupervised learning, neural networks, and natural language processing.
- Excellent analytical and problem-solving skills.
- Ability to work collaboratively in a team environment and communicate effectively with both technical and non-technical team members.
- Strong organizational skills and the ability to manage multiple projects simultaneously.
- A continuous learner with a passion for staying at the cutting edge of AI technology.
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