remote
AI Developer - SNS System
Software Engineer
Design, develop, and deploy advanced AI models for NLP, computer vision, and conversational agents, leveraging deep learning frameworks to build scalable, production‑ready solutions that drive intelligent applications.
About the role
This is a remote position.
Requirements
- 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.
- 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.
- 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.
Originally posted on Himalayas