Overview
The AI Developer will be responsible for designing, developing, and implementing AI-based solutions to address complex business challenges. This role involves working with a team of engineers and data scientists to create innovative products and services that leverage machine learning and artificial intelligence technologies. The AI Developer will contribute to all phases of the AI development lifecycle, from research and prototyping to deployment and maintenance.
Key Responsibilities:
- Design, develop, and implement AI algorithms and models.
- Work with large datasets to train and validate AI models.
- Develop custom machine learning models to solve business problems.
- Collaborate with data scientists, software engineers, and other stakeholders to integrate AI solutions into existing systems.
- Communicate complex technical concepts to nontechnical stakeholders.
- Participate in crossfunctional teams to develop AI-driven products.
- Stay upto-date with the latest advancements in AI and machine learning.
- Conduct research to explore new AI technologies and methodologies.
- Experiment with different AI techniques to improve model performance.
- Deploy AI models into production environments.
- Monitor and maintain AI systems to ensure optimal performance.
- Troubleshoot and resolve issues related to AI solutions.
- Document AI models, algorithms, and development processes.
- Prepare technical reports and presentations for internal and external stakeholders.
- Maintain detailed records of experiments and model performance metrics.
Qualifications:
- Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
- Master’s degree or Ph.D. in a relevant field is preferred.
- Minimum of 2 years of experience in AI development or related roles.
- Proven experience with machine learning frameworks such as TensorFlow, PyTorch, or scikitlearn.
- Experience with data manipulation and analysis using libraries like pandas and NumPy.
- Strong programming skills in Python, R, or Java.
- Proficiency in working with machine learning and deep learning frameworks.
- Solid understanding of data structures, algorithms, and statistical methods.
- Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) is a plus.
- Familiarity with natural language processing (NLP) and computer vision is desirable.
Key Skills:
- Expertise in AI and machine learning algorithms and techniques.
- Strong analytical and problemsolving abilities.
- Experience with big data technologies and data preprocessing techniques.
- Excellent communication and collaboration skills.
- Ability to work independently and as part of a team.
- Strong organizational skills and attention to detail.
Benefits:
- Competitive salary and performancebased bonuses.
- Comprehensive health, dental, and vision insurance.
- Retirement savings plan with company match.
- Paid time off and holidays.
- Professional development opportunities.
- Flexible working hours and remote work options.
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