Experience with AI and Machine Learning algorithms.
Familiarity with AI platforms and understanding of their capabilities and limitations.
Experience with Natural Language Processing (NLP).
Understanding of RAG, neural networks, and other AI/ML concepts.
Ability to design and implement AI models.
Experience with AI/ML frameworks like TensorFlow, PyTorch, etc.
Job Description : MLOps
Design, implement, and maintain end-to-end ML pipelines for model training, evaluation, and deployment
Collaborate with data scientists and software engineers to operationalize ML models, serving frameworks (TensorFlow Serving, TorchServe) and experience with MLOps tools
Develop and maintain CI/CD pipelines for ML workflows.
JD of AIML Engineer
Must have experience with Machine Learning Model Development
Expert Level Proficiency in Data Handling (SQL)
Hands-on with Model Engineering and Improvement
Strong experience in Model Deployment and Productionlization
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Analytics - OtherRole: Data Science & Analytics - OtherEmployement Type: Walk-ins