AIML Engineer

About the job

JData Science JD- GenAI: • 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

Requirements

• AI and Machine Learning algorithms
• Natural Language Processing
• RAG
• neural networks
• AI/ML frameworks like TensorFlow
• PyTorch
• Data Handling (SQL)
• Model Engineering and Improvement
• Model Deployment and Productionlization

Preferred Technologies

• AI and Machine Learning algorithms
• Natural Language Processing
• RAG
• neural networks
• AI/ML frameworks like TensorFlow
• PyTorch
• Data Handling (SQL)
• Model Engineering and Improvement
• Model Deployment and Productionlization

About the company

Capgemini is a global leader in consulting, digital transformation, technology, and engineering services with a strong presence in IT services.