As a Data Scientist at iSanqa, you'll lead the development of advanced AI solutions. This role is perfect for someone with a strong background in machine learning and a passion for mentoring others.
Innovative and collaborative, with a strong emphasis on AI and machine learning.
At iSanqa, the Data Scientist role is pivotal in architecting sophisticated AI solutions that leverage advanced technologies like Amazon Bedrock and PyTorch. You will work in a hybrid environment, collaborating with international teams of machine learning and software engineers to deliver large-scale enterprise AI solutions. Your expertise will guide the development of multi-step reasoning and agentic workflows, ensuring that the solutions are robust and scalable.
In this position, you will be responsible for establishing MLOps practices, including CI/CD and observability, to enhance the deployment and monitoring of machine learning models. Your day-to-day tasks will involve training and deploying models, optimizing performance for ML workloads, and mentoring team members on AI architecture. You will also play a key role in containerization and networking, ensuring that the infrastructure supports the advanced needs of AI applications.
This role is ideal for someone with significant experience in AI and machine learning, particularly in model training and deployment. You should be comfortable working in a fast-paced environment and have a proven track record of delivering complex AI solutions. Strong technical leadership skills and the ability to mentor others will be crucial for success in this position.
If you are passionate about AI and want to make a significant impact in a collaborative setting, this opportunity at iSanqa could be the perfect fit for you.
You'll be taken to the original listing on PNet to apply.