Position: AI Developer for Building AI-Applications & MVPs
- Design, develop, and deploy AI-driven applications and solutions.
- Collaborate with Product Managers, Front-End Developers and IT teams to convert data-driven models into scalable applications.
- Develop MVPs to test and validate AI solutions before full-scale implementation.
- Integrate AI models seamlessly with existing software infrastructure and databases.
- Stay updated with the latest AI trends, models, and best practices to ensure the organization remains at the forefront of AI technology.
- Programming: Mastery in Python development.
- Data Science: Solid understanding and application of data science methodologies and algorithms.
- Generative AI: In-depth knowledge of Generative AI models and their practical applications.
- SQL Databases: e.g. MySQL, PostgreSQL, etc.
- NoSQL Databases: e.g. MongoDB, etc.
- Vector Databases: e.g. Pinecone
- Machine Learning Models:
- Proficiency with LLMs, embedding models, and other advanced ML models.
- Experience with platforms like OpenAI, Huggingface, Meta-Llama, Google-PALM2, etc.
- Multi-Modal Experience:
- Versatility in working with different modalities such as Text-to-Image, Text-to-Audio, Image Recognition, etc.
- Familiarity with products like Midjourney, Stable Diffusion, Runway, etc.
- Frameworks: Proficiency with AI frameworks, especially Lang Chain. Familiarity with TensorFlow, PyTorch, and other popular frameworks is a plus.
- Cloud Hosting: Expertise in deploying and managing applications on cloud platforms like AWS, Google Cloud, and Microsoft Azure.
- API Development: Proven experience in developing, deploying, and maintaining RESTful APIs.
Soft Skills & Personality Traits:
- Pragmatic: A solution-oriented mindset with a focus on tangible results.
- Lean-Approach: Adherence to the principles of lean methodology, with the ability to quickly validate assumptions and adapt based on feedback.
- Curiosity & Passion: A strong interest in AI technology, combined with the drive to continuously learn and innovate.
- Self-Driven Learning: Proactiveness in seeking knowledge. Even when unfamiliar with a particular model or product, the candidate should be enthusiastic to explore, research, and understand it deeply.
- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a closely related field.
- A minimum of 3-5 years of hands-on experience in AI application development or a related domain.
Preferred Additional Qualifications:
- Certifications in AI, Machine Learning, or Data Science from recognized institutions.
- Proven track record of successful AI projects or contributions to open-source AI platforms.
- Experience with containerization technologies like Docker and Kubernetes.
Final Note: We're on the hunt for a passionate AI Developer who is not just technically sound but also possesses the hunger to innovate and drive our AI initiatives forward. If you're excited about the future of AI and are keen on making a significant impact, we're eager to connect with you.
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