Join iSanqa as a Data Scientist and lead the charge in creating advanced AI solutions. This role is perfect for someone with a strong background in AI and MLOps, ready to mentor others and drive innovation.
As a Data Scientist at iSanqa, you will be at the forefront of developing sophisticated AI solutions. Your main responsibility will be to architect and implement AI systems using cutting-edge technologies like Amazon Bedrock and PyTorch, all while ensuring robust MLOps practices are in place. This role requires a deep understanding of AI architecture and the ability to lead teams in deploying large-scale enterprise solutions.
In your day-to-day work, you will engage in multi-step reasoning and orchestrate agentic workflows. You will also be responsible for establishing MLOps and GenAI Ops practices, which include continuous integration and delivery (CI/CD) and observability. Your expertise in containerization and performance engineering will be crucial as you work with Kubernetes infrastructure to optimize machine learning workloads.
This position is ideal for someone with a strong background in AI and MLOps who is looking to take on a leadership role. You should have a proven track record in model training and deployment, and be comfortable mentoring other team members on AI architecture and operational excellence. If you thrive in a fast-paced, innovative environment and are passionate about AI, this role is for you.
Key requirements include: • Extensive experience with AI architecture and MLOps practices • Proficiency in PyTorch and TensorFlow • Strong skills in containerization and Kubernetes • Ability to mentor and lead teams effectively • Experience in establishing CI/CD and observability practices
If you are ready to make a significant impact in the AI field and lead a talented team, consider applying for this exciting opportunity.
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