![Infomineo](https://media.trabajo.org/img/noimg.jpg)
Tech Innovation
1 week ago
Job Overview:
Key Responsibilities:
- Technical Development and Automation:
- Lead the development and implementation of AI-driven solutions, focusing on automation and efficiency.
- Collaborate with cross-functional teams to integrate AI capabilities into existing systems.
- Cloud Architecture and Integration:
- Design and implement scalable cloud architectures to support AI initiatives.
- Integrate AI solutions with cloud platforms, ensuring optimal performance and scalability.
- Implement best practices for cloud security and compliance.
- API Integration and Data Engineering:
- Develop and maintain API integrations to enhance data flow between different systems.
- Leverage data engineering techniques to process and analyze large datasets for AI model training.
- Ensure data quality and integrity throughout the integration process.
- AI Project Management:
- Utilize agile methodologies to manage the lifecycle of AI development projects.
- Collaborate with stakeholders to define project requirements and deliverables.
- Track and report on project progress, addressing any challenges or bottlenecks.
- Continuous Improvement and Innovation:
- Stay updated on the latest advancements in AI, automation, and related technologies.
- Propose and implement improvements to existing systems and processes.
- Foster a culture of innovation within the team, encouraging creative problem-solving.
Qualifications:
- 3 to 5 years Proven experience in DevOps, Cloud Computing, AI projects and API integration.
- In-depth knowledge of cloud platforms (e.g., AWS, Azure, GCP).
- Experience with containerization technologies (e.g., Docker, Kubernetes).
- Solid understanding of data engineering principles and practices.
- Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
Preferred Skills:
- Certifications in relevant technologies (e.g., AWS Certified DevOps Engineer, TensorFlow Developer).
- Previous experience in data engineering
- Strong proficiency in relevant programming languages (e.g., Python, Java).
- Previous experience in developing and deploying AI models in a production environment.
- Familiarity with machine learning frameworks and libraries.
- Expertise in building and maintaining data pipelines.
What We Offer:
- Competitive salary and benefits.
- Opportunity to shape and drive AI and automation initiatives.
- A collaborative and forward-thinking work environment.
- Professional development and career growth opportunities.
Application Process:
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