
SNS System is a leading global business consulting and IT service company. We combine complex industry & functional expertise, leading technology practices, and an advanced global delivery model to enable companies to unlock their business potential.
51 - 200 employees
Founded 2000
February 15

SNS System is a leading global business consulting and IT service company. We combine complex industry & functional expertise, leading technology practices, and an advanced global delivery model to enable companies to unlock their business potential.
51 - 200 employees
Founded 2000
• This is a remote position. • 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.
• Expertise in AI Frameworks: You have hands-on experience with tools like TensorFlow, PyTorch, and OpenAI to develop AI models that deliver outstanding results. • 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.
Apply NowFebruary 4
As an AI Engineer, create and maintain AI solutions for various clients in a fully remote environment.
February 4
Responsible for deploying and monitoring LLMs in production. Empowering IT and Security teams with LLM evaluations.
January 24
Join TRACTIAN as a GenAI Lead Engineer, leading innovative IoT engineering projects and collaborating across teams.
January 9
As Applied AI Lead, translate advanced analytics into marketing strategies at Tellius. Position Tellius as the leading AI solution for data analytics.
January 7
Remote AI Developer role at Advancio, designing AI solutions to solve complex problems.
AWS
Azure
Cloud
Google Cloud Platform
Keras
Microservices
Node.js
Numpy
Pandas
Python
PyTorch
Scikit-Learn
Tensorflow