AI/ML Engineer
hace 1 mes
Division Industrial Print SW & Solutions
At Hewlett Packard, we're driving the digital transformation of the print industry with a focus on accessibility, agility, security, and sustainability. Our groundbreaking products and services enable businesses to stay ahead of market changes and expand their capabilities with world-class digital printing solutions.
We're looking for a dedicated and talented AI/ML Engineer who is excited about solving complex problems and developing cutting-edge AI solutions. Your expertise in machine learning, data analysis, and software engineering will be crucial in driving our projects forward.
Key Responsibilities:
- Develop and implement machine learning models and other algorithms to solve business problems.
- Design, build, and maintain scalable AI systems and infrastructure.
- Collaborate with architects, data engineers, software engineers, and product managers to integrate AI solutions into products and services.
- Conduct data analysis and preprocessing to ensure high-quality input for AI models.
- Monitor and optimize the performance of AI models and systems, making adjustments as needed.
- Stay updated with the latest developments in AI and machine learning technologies and incorporate them into ongoing projects.
- Troubleshoot and debug AI-related issues in collaboration with cross-functional teams.
- Document AI solutions, processes, and findings to ensure knowledge sharing and reproducibility.
- Ensure the ethical use of AI technologies and compliance with industry standards.
- Participate in code reviews and provide constructive feedback to peers.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.
- 5+ years of experience in developing and deploying AI and machine learning models.
- Proficiency in programming languages such as Python or Java is required.
- Strong knowledge of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Experience with cloud platforms like AWS, Azure, or Google Cloud.
- Understanding of data preprocessing techniques and tools.
- Strong problem-solving skills and the ability to analyze complex data.
- Excellent communication skills to convey technical concepts to both technical and non-technical stakeholders.
- Ability to work collaboratively in a team environment.
- Commitment to continuous learning and staying updated with the latest AI advancements.
- Familiarity with ethical considerations and best practices in AI development.
- Relevant certifications in Data, ML, Software, or cloud platforms are a plus.
- Fluency in English (equivalent to C1 or higher).
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