Quantiphi
AI Developer Subcontractor
- Compensation
- Not disclosed
- Location
- FL, United States
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Ai engineering
- Posted
Skills
Must have
- Bachelor's or higher degree in Computer Science, Artificial Intelligence, or a related field.
- Proven experience in developing and deploying machine learning models.
- Proficiency in programming languages such as Python, Java, or C++.
- Strong understanding of machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries.
- Knowledge of natural language processing, computer vision, and other AI-related domains.
- Familiarity with data processing tools and techniques.
- Excellent problem-solving and analytical skills.
- Effective communication and collaboration skills.
Nice to have
- Experience with cloud platforms and services (e.g., AWS, Azure, Google Cloud).
- Knowledge of deep learning techniques.
- Familiarity with big data technologies.
- Strong software engineering principles and practices.
Full description
AI Developer
As an Artificial Intelligence (AI) Developer, you will be responsible for designing, developing, and implementing cutting-edge AI solutions. Your primary focus will be on creating intelligent systems that can perform tasks requiring human-like cognitive abilities, such as natural language processing, computer vision, and machine learning. Collaborating with cross-functional teams, you will contribute to the development of innovative AI applications to solve complex problems and enhance business processes.
Key Responsibilities:
- Algorithm Development:
- Design and implement machine learning algorithms and models to address specific business needs.
- Fine-tune models to improve accuracy and performance
- Data Processing and Analysis:
- Preprocess and analyze large datasets to extract meaningful insights.
- Collaborate with data engineers to ensure data quality and availability.
- Software Development:
- Develop and maintain AI applications and frameworks.
- Integrate AI solutions into existing systems and applications.
- Model Training and Evaluation:
- Train, validate, and optimize machine learning models using various datasets.
- Evaluate model performance and implement improvements.
- Natural Language Processing (NLP) and Computer Vision:
- Implement NLP techniques for text analysis, sentiment analysis, and language understanding.
- Develop computer vision solutions for image and video analysis.
- Collaboration:
- Work closely with cross-functional teams, including data scientists, software engineers, and domain experts.
- Collaborate with stakeholders to understand business requirements and propose AI solutions.
- Research and Innovation:
- Stay abreast of the latest advancements in AI, machine learning, and related fields.
- Contribute to the research and development of new AI technologies.
- Documentation:
- Document code, algorithms, and processes to ensure knowledge transfer and maintainability.
- Testing and Debugging:
- Conduct rigorous testing to identify and fix issues in AI applications.
- Debug and troubleshoot problems in collaboration with the software development team.
Qualifications:
- Bachelor's or higher degree in Computer Science, Artificial Intelligence, or a related field.