AI Engineer - AceNet

Job Description:

As an AI Engineer you will play a pivotal role in designing developing and deploying AI models in various AI fields. You will work collaboratively with crossfunctional teams to create AI solutions that have a realworld impact. If you are passionate about AI and eager to work on cuttingedge projects we want to hear from you.

Responsibilities:

• AI Model Development: Design and develop stateoftheart AI models across multiple domains including natural language processing computer vision recommendation systems and more.

• Data Preprocessing: Clean preprocess and analyze data to prepare it for model training and evaluation.

• Model Training: Train and finetune AI models using cuttingedge techniques and libraries ensuring high performance and accuracy.

• Validation and Testing: Conduct rigorous testing and validation of AI models to ensure robustness reliability and generalization.

• Optimization: Optimize models for performance speed and scalability taking into account resource constraints.

• Collaboration: Collaborate closely with crossfunctional teams including data scientists software engineers and domain experts to integrate AI solutions into products and services.

• Research and Innovation: Stay uptodate with the latest advancements in AI research and apply them to solve realworld problems effectively.

• Documentation: Create clear and concise documentation for AI models algorithms and processes to facilitate knowledge sharing and future development.

• Proven experience in developing and deploying AI models with a strong portfolio showcasing your work.

• Proficiency in programming languages such as Python TensorFlow PyTorch or similar.

• Deep understanding of machine learning algorithms deep learning frameworks and AI technologies.

• Strong problemsolving skills and the ability to work in a fastpaced collaborative environment.

• Excellent communication skills to convey complex technical concepts to both technical and nontechnical stakeholders.

Preferred Qualifications:

• Experience with cloud computing platforms (e.g. AWS Azure Google Cloud).
• Knowledge of DevOps practices for AI model deployment and maintenance.
• Familiarity with big data technologies and distributed computing.
• Published research or contributions to the AI community.

If you are a motivated and looking to make an impact and grow your career apply now with your resume .