AI Solutions Architect
7 days ago
Company Overview:
Welcome to Unreal Gigs, a forefront of AI engineering. Our mission is to develop cutting-edge AI solutions that transform industries and improve people's lives.
Job Summary:
We're seeking an experienced Senior AI Engineer to lead the design, development, and deployment of AI-powered solutions. This role requires a seasoned engineer with a passion for innovation and a track record of delivering impactful AI solutions.
Key Responsibilities:
- Solution Architecture: Lead the design and architecture of AI-powered solutions, ensuring scalability, reliability, and performance.
- Algorithm Development: Develop and implement advanced machine learning and deep learning algorithms to solve complex problems in areas such as natural language processing, computer vision, and predictive analytics.
- Model Training and Evaluation: Train and evaluate machine learning models using large-scale datasets, optimizing for accuracy, efficiency, and scalability.
- Model Deployment: Deploy machine learning models into production environments, ensuring seamless integration with existing systems and platforms.
- Performance Optimization: Optimize the performance of AI models and systems, leveraging techniques such as distributed computing, parallel processing, and GPU acceleration.
- Data Engineering: Work closely with data engineers to design and build data pipelines and infrastructure for collecting, storing, and processing data at scale.
- Cross-Functional Collaboration: Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to deliver end-to-end AI solutions that meet customer requirements.
- Research and Innovation: Stay abreast of the latest developments in AI research and technology, exploring innovative approaches and techniques to improve AI solutions.
Qualifications:
- Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or related field.
- 5+ years of experience in AI engineering, with a focus on developing and deploying AI-powered solutions.
- Strong programming skills in languages such as Python, Java, or C++, and proficiency in AI frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn.
- Solid understanding of machine learning and deep learning algorithms, with hands-on experience in model development and evaluation.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform, and familiarity with containerization and orchestration technologies such as Docker and Kubernetes.
- Strong problem-solving abilities and analytical thinking skills, with a passion for tackling complex AI challenges.
- Excellent communication and collaboration skills, with the ability to work effectively in multidisciplinary teams and communicate technical concepts to non-technical stakeholders.
Salary:
$150,000 - $200,000 per year
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