AI Developer at Saxonia Network Systems

Job description

As an AI Developer, you’ll be at the forefront of creating intelligent systems that power real-world applications. Your focus will be on designing, developing, and deploying AI models, especially in NLP, computer vision, and conversational agents. You’ll also work with deep learning frameworks to build scalable models that can handle complex tasks and grow with our needs. Your contributions will directly influence how AI and machine learning shape our organization. Requirements What You’ll Be Doing: Develop AI Models: You’ll create and implement advanced AI models, particularly in NLP, computer vision, and chatbots. Your work will enable systems to understand human language, process visual data, and communicate intelligently with users. Deep Learning Solutions: You’ll apply deep learning techniques to solve complex problems. This could involve developing algorithms for tasks like image recognition, language translation, or building smart conversational agents. Collaborate Across Teams: You’ll work closely with product managers, data scientists, and engineers to integrate your AI models into real-world applications, ensuring they function smoothly and create tangible impact. Continuous Improvement: Staying on top of the latest advancements in AI and machine learning, you’ll optimize your models for better accuracy, performance, and scalability, pushing the boundaries of what’s possible. What We’re Looking For: Expertise in AI Frameworks: You have hands-on experience with tools like TensorFlow, PyTorch, and OpenAI to develop AI models that deliver outstanding results. Your knowledge of these frameworks will help you build and fine-tune complex deep learning models. Strong Python Skills: You’re an expert in Python, the primary language for AI and machine learning. You’ve worked with Python-based data science tools like NumPy, Pandas, and Scikit-learn to build and deploy models. Experience with Deep Learning: You have solid experience using deep learning techniques (such as CNNs, RNNs, transformers) to address tasks like image recognition, natural language processing, or conversational AI. Data-Driven Mindset: You understand the importance of working with large datasets and know how to fine-tune models for optimal performance. Your skills in data preprocessing, cleaning, and augmentation are key to building robust AI systems. Innovative Problem-Solving: You love tackling complex challenges and thinking creatively to come up with technical solutions. Good to have: Experience deploying AI models into production environments. Familiarity with cloud platforms (AWS, GCP, Azure) and deployment tools. Knowledge of reinforcement learning or other advanced AI techniques.

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