5 - 9 years
30 - 35 Lacs
Posted:2 weeks ago|
Platform:
Work from Office
Full Time
Key Responsibilities:
• Develop, test, and deploy AI models, including those based on Generative AI frameworks.• Lead and manage the AI team, fostering a positive and innovative work environment.• Define and oversee the implementation of AI architecture.• Drive innovation, come up with new ideas and strategies to improve and expand AI capabilities.• 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.
Required Skills and Experience:
• Five+ years of experience as an AI engineer or similar role, with significant experience in a leadership and architectural 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 & 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.• Proven experience in leading AI/ML model deployment projects and managing cross-functional teams.• Proficiency in Python language• Experience in front-end and back-end development, data structuring, and project management
Clarity Consulting
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