We are seeking an AI Engineer who will design, build, and deploy advanced machine learning and deep learning models tailored for production-scale systems.
The role requires working closely with product, engineering, and data teams to translate complex business problems into AI-driven solutions.
Candidates should have hands-on experience with frameworks like TensorFlow, PyTorch, or JAX, and must be adept at developing custom architectures beyond pre-trained models to suit problem-specific requirements.
Strong knowledge of NLP, computer vision, or generative AI will be highly valued depending on project needs.
Proficiency in writing optimized, scalable code in Python is expected, with additional exposure to languages like C++ or Java being advantageous.
Understanding of distributed systems, GPU acceleration, and model optimization for latency-sensitive environments is critical.
Experience with MLOps tools such as MLflow, Kubeflow, or Vertex AI is required to streamline deployment, monitoring, and retraining pipelines.
Practical exposure to data engineering concepts, including feature store design and data versioning, will be appreciated.
The role involves experimentation with novel architectures, staying current with research advancements, and rapidly prototyping ideas for validation.
Candidates must demonstrate strong problem-solving skills, an ability to balance research depth with delivery timelines, and a mindset for building AI systems that are explainable, ethical, and production-ready.
(ref : hirist.tech)
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Ai Engineer • Chennai
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