
Artificial Intelligence Lead Developer
1 day ago
Job Description
We are seeking a highly skilled Senior AI Engineer to lead the design and implementation of AI-driven software solutions. The ideal candidate will have a deep understanding of machine learning models and the ability to develop cutting-edge solutions that solve complex business problems.
About Us
At BLAKSKILL LIMITED, we value innovation and creativity in our approach to AI development. Our team is dedicated to staying at the forefront of AI innovation and pushing the boundaries of what is possible.
Key Responsibilities
- Design, implement, and manage software programs with a focus on AI applications and next-generation large language models.
- Develop and deploy advanced machine learning models, including multimodal AI systems and autonomous AI agents.
- Work with massive sparse expert models and implement longer contextual memory techniques for improved AI performance.
- Build and optimize AI models for performance, scalability, and efficiency using cloud-based resources.
- Implement explainable AI (XAI) practices to ensure transparency and ethical AI development.
- Develop small language models (SLMs) for edge computing and specialized applications.
- Create and implement GenAI observability tools and cybersecurity solutions.
- Collaborate with cross-functional teams to integrate AI solutions into existing products.
- Stay updated with emerging AI trends including any-to-any multimodal AI, edge AI, and humanoid robotics.
- Participate in data augmentation techniques to improve AI training efficiency.
- Implement natural language processing (NLP) advancements for enhanced user experiences.
Required Qualifications & Experience:
- Bachelor's degree in Computer Science, Software Engineering, or related field.
- 4-6 years of relevant working experience in AI/ML development.
- Deep programming language knowledge and experience with AI frameworks.
- Proficiency in programming languages: JavaScript, Rust, and Go Lang.
- Cloud expertise: AWS, Azure, Git and DevOps.
- Strong knowledge of Microservice Architecture, RabbitMQ, and Dynamic Programming.
- Database experience: MySQL, MongoDB, and Redis.
- Experience with software development lifecycle and AI model deployment.
- Ability to develop unit testing for code components and AI applications.
- Understanding of full-stack development and software engineering concepts.
- Experience with large language model development and fine-tuning.
- Knowledge of multimodal AI systems and autonomous agent development.
- Knowledge of software security and ethical AI development principles.
- Ability to work effectively in a fast-paced environment and adapt to rapidly evolving AI technologies.
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