Intelligent Systems Developer
3 weeks ago
We are Unreal Gigs, a cutting-edge technology company that is revolutionizing the industry with our innovative solutions. We're looking for an exceptional AI expert to join our team as an Intelligent Systems Developer.
About the RoleThe ideal candidate will be responsible for designing and developing artificial intelligence algorithms, building scalable AI systems, and collaborating with cross-functional teams to deliver AI-driven solutions. As an Intelligent Systems Developer at Unreal Gigs, you'll have the opportunity to work on diverse projects, leveraging machine learning, natural language processing, and computer vision.
Key Responsibilities:- AI Algorithm Design and Development: Develop, implement, and optimize AI algorithms that solve complex problems using tools like TensorFlow, PyTorch, and Scikit-learn.
- Scalable AI System Architecture: Architect and build AI systems that are scalable, reliable, and maintainable, integrating AI models into production environments.
- Data Pipeline Design and Integration: Collaborate with data engineers to build robust data pipelines that feed machine learning models, ensuring data preprocessing, feature extraction, and model training are optimized for performance and scalability.
- Model Training and Tuning: Train machine learning models on large datasets, fine-tuning hyperparameters and experimenting with different architectures to improve accuracy.
- Cross-Functional Collaboration: Work closely with product managers, data scientists, and software engineers to understand business needs and deliver AI-driven solutions that align with product goals.
We offer a competitive salary of $150,000 - $200,000 per year, based on experience, to ensure that our team members are rewarded for their hard work and dedication.
Requirements- Ai and Machine Learning Expertise: Strong experience in developing machine learning models, deep learning algorithms, and NLP solutions.
- Programming and Software Development: Proficiency in programming languages such as Python, R, or Java, with experience in developing production-level AI software.
- Data Engineering and Pipelines: Expertise in building data pipelines for training and deploying machine learning models.
- Model Deployment and Integration: Experience deploying AI models into production environments using cloud platforms (AWS, GCP, Azure) or on-premise infrastructure.
- Health and Wellness: Comprehensive medical, dental, and vision insurance plans with low co-pays and premiums.
- Paid Time Off: Competitive vacation, sick leave, and 20 paid holidays per year.
- Work-Life Balance: Flexible work schedules and telecommuting options.
- Professional Development: Opportunities for training, certification reimbursement, and career advancement programs.
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