AI Engineer
2 weeks ago
As an AI Engineer at V3 Smart Technologies, you will be at the forefront of developing intelligent systems that solve complex problems and enhance our clients' operations. You will work closely with cross-functional teams to design, implement, and deploy AI models that are scalable, reliable, and impactful. Your work will directly influence the direction of our products and services, ensuring they remain competitive in a rapidly evolving market.
Roles & Responsibilities:
Model Development: Design, build, and optimize machine learning models and AI algorithms to address specific business challenges and client needs.
Solution Deployment: Lead the deployment of AI solutions into production, ensuring they meet performance, reliability, and scalability requirements.
Research & Innovation: Stay abreast of the latest AI technologies and trends, and apply this knowledge to drive innovation in our projects.
Data Management: Collaborate with data engineers to ensure robust data pipelines and preprocessing methods that support AI model development.
Technical Support: Provide expert guidance to the business development team and other stakeholders on the technical aspects of AI and machine learning.
Collaboration: Work closely with software developers, data scientists, and project managers to integrate AI solutions seamlessly into our products.
Requirements:
- Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Machine Learning, Data Science, or a related field.
- Strong programming skills in Python, Java, C++, or similar languages, with a focus on AI and machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- Experience with ML Ops practices, including model versioning, monitoring, and CI/CD pipelines for machine learning.
- Proven experience in developing and deploying AI models in real-world environments, with a portfolio of successful projects.
- Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their AI/ML services.
- Experience with video and data analytics
- Excellent problem-solving skills and the ability to work independently as well as collaboratively.
- Strong communication skills with the ability to convey complex technical concepts to non-technical stakeholders.
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