Machine Learning Solutions Architect

1 day ago


Lagos, Lagos, Nigeria BLAKSKILL LIMITED Full time

About Us

We are a dynamic and innovative company, committed to delivering cutting-edge AI solutions that drive business success. Our team is passionate about AI development and we're seeking a talented Senior AI Engineer to join us.

Job Description

The Senior AI Engineer will be responsible for designing, implementing, and managing AI-driven software solutions. This role requires a deep understanding of machine learning models, programming languages, and cloud-based resources.

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.

Requirements:

  • 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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