Description : Responsibilities :
- Develop, test, and deploy AI models, including those based on Generative AI frameworks.
- Collaborate with the team to design AI systems.
- Troubleshoot and improve current AI systems.
- Convert business use-cases into technical requirements and implement appropriate algorithms.
- Keep up-to-date with the latest technology trends.
Requirements :
At least 3 years of experience as an AI engineer or similar role.Proficiency in Python, Node. JS, C#, HTML, and JavaScript.Experience with AI Libraries / Packages such as Scikit-Learn, TensorFlow, Keras, Pytorch, Pandas, NLTK, OpenCV, WebRTC, LangChain, HuggingFace, and Generative AI frameworks.Familiarity with Supervised and Unsupervised Learning, Convoluted Neural Networks, Recurrent Neural Networks (including LSTM), Deep Neural Networks, Progressive Learning, Time-Series Forecasting (including NNs).Experience with deployment frameworks such as Flask, Django, Nginx + Gunicorn, Docker, Kubernetes, SCM (Git), and DevOps (CI / CD).Experience with cloud platforms such as IBM Cloud, AZURE Cloud, Google Cloud, and AWS.Familiarity with Model Ops (AIOps) tools such as Prometheus, MLflow, and Grafana.B. Tech / M. Tech.Additional Skills :
Strong problem-solving abilities.Ability to interpret research literature and implement algorithms based on business use cases.Ability to handle multiple competing priorities in a fast-paced environment.Excellent verbal and written communication skills.(ref : hirist.tech)