AI Solutions Developer
3 weeks ago
We are seeking a highly skilled Artificial Intelligence Engineer to join our team at Talent Nexa Consulting.
The ideal candidate will be a self-starter with a deep curiosity and hunger to explore new AI applications in areas like video, speech-to-text, large language models (LLM), natural language processing (NLP), generative AI, and beyond.
- Key Responsibilities:
- Develop AI Solutions: Build, test, and deploy AI models across various platforms, with a focus on LLM, RAG, NLP, generative AI, video analysis, and speech-to-text.
- Collaborate Cross-Functionally: Work closely with other engineers, product teams, and stakeholders to understand project needs and deliver AI solutions that drive business value.
- AI Research & Development: Stay at the cutting edge of AI technologies by researching emerging trends and integrating new tools and platforms.
- Prototype New AI Systems: Explore, design, and prototype new AI-driven features and functionalities, with a focus on scaling solutions in a startup environment.
- Data Analysis & Modeling: Clean, preprocess, and analyze large datasets to improve the performance and accuracy of AI models.
- AI Deployment: Optimize models for production use, ensuring they meet performance, scalability, and security requirements.
- Documentation: Maintain detailed technical documentation, ensuring knowledge transfer and efficient future development.
Requirements
- Education: Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or related fields from top-tier institutes.
- Experience: 6+ years of hands-on experience with AI/ML platforms and model development.
- Technical Expertise:
- Proficiency with AI/ML frameworks (TensorFlow, PyTorch, etc.)
- Experience in developing Generative AI, Computer Vision, LLM, RAG, NLP, and generative AI applications.
- Familiarity with AI platforms like OpenAI, Anthropic Claude, etc.
- Strong programming skills in Python, R, or similar.
- Experience with data preprocessing, feature extraction, and model evaluation.
- Soft Skills:
- Self-motivated and able to thrive in a fast-paced, dynamic startup environment.
- Excellent problem-solving and critical-thinking skills.
- Strong communication and collaboration skills.
- Passion for innovation and continuous learning.
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