This role is for a seasoned Data Scientist with a strong focus on AI and MLOps. You'll be leading the development of advanced AI solutions and mentoring teams in a hybrid work environment.
Innovative and collaborative, with a strong emphasis on AI technology and operational excellence.
In this role at iSanqa, you will be at the forefront of designing and implementing sophisticated AI solutions. Your primary focus will be on leveraging tools like Amazon Bedrock, LangChain, and PyTorch to create scalable enterprise-level AI applications. You will work within a containerized Kubernetes infrastructure, ensuring that the solutions are robust and efficient. Your expertise in MLOps will be crucial as you establish best practices for model training, deployment, and observability.
As a senior Data Scientist, you will not only be responsible for technical execution but also for providing leadership and mentorship to your team. You will guide them in AI architecture and operational excellence, helping to foster a culture of continuous improvement and innovation. Your role will involve orchestrating complex workflows and ensuring that the AI solutions meet the high standards expected in enterprise environments.
Key responsibilities include: • Architecting AI solutions using advanced technologies • Establishing and operating MLOps practices • Mentoring team members on AI and MLOps best practices • Collaborating with cross-functional teams to deliver high-quality AI products
This position is ideal for someone with a strong background in AI and MLOps, who is looking to take on a leadership role in a dynamic and innovative company. If you have a proven track record in delivering large-scale AI solutions and enjoy working in a collaborative environment, this could be the perfect opportunity for you.
You'll be taken to the original listing on PNet to apply.