Ai software engineer
Summary
Hybrid AI software engineer role in Polokwane: build, optimize, and deploy AI/ML models (NLP, computer vision, predictive analytics) into production software, collaborating with data scientists. Stack includes Python/Java/C++, TensorFlow/PyTorch, cloud platforms, and Docker/Kubernetes. Posted by placement agency Placements24 on behalf of its client.
Our client is seeking a talented and motivated AI Software Engineer to join their innovative team in Polokwane. This hybrid role offers the flexibility to work both in the office and remotely, focusing on developing and integrating AI capabilities into their software products. You will work on building intelligent features, optimizing algorithms, and deploying machine learning models into production environments. Join a collaborative team in Limpopo that is dedicated to pushing the boundaries of what's possible with artificial intelligence, contributing to cutting-edge software solutions.
Key Responsibilities Develop, test, and deploy AI/ML models and algorithms into production software systems. Design and implement software components that leverage AI capabilities, such as natural language processing, computer vision, or predictive analytics. Collaborate with data scientists to integrate trained models into scalable applications. Optimize software performance and resource utilization for AI workloads. Participate in code reviews, architectural discussions, and the full software development lifecycle. Requirements Bachelor's degree in Computer Science, Software Engineering, or a related field. 2+ years of experience in software development, with a focus on AI/ML integration. Proficiency in programming languages like Python, Java, or C++, and relevant AI libraries (e.g., Tensor Flow, Py Torch, scikit-learn). Experience with cloud platforms and containerization technologies (Docker, Kubernetes). Strong understanding of software engineering best practices and ML operations (MLOps). Benefits Competitive salary and potential for performance bonuses. Hybrid work model providing a balance between office and remote work. Comprehensive health and retirement benefits. Opportunities for skill development and career advancement in AI. Work on exciting projects that integrate advanced AI technologies.