Data Systems Architect

2 weeks ago


udaipur, India beBeeMachineLearning Full time

Job Title: Artificial Intelligence EngineerOverviewThe position of Artificial Intelligence Engineer involves developing, deploying, and maintaining cutting-edge AI models using Python and Django. The successful candidate will work on building scalable data pipelines and APIs that integrate ML models into production.ResponsibilitiesDevelop and deploy AI/ML models utilizing Python and Django frameworks.Create scalable data pipelines and APIs that integrate ML models into production environments.Work across various domains such as Natural Language Processing (NLP), Computer Vision, and Generative AI to deliver real-world solutions.Perform data preprocessing, model training, and performance tuning tasks.Collaborate with cross-functional teams for the development and implementation of AI products and insights.Automate workflows and ensure robust, reproducible, and efficient ML systems.Implement MLOps practices including Docker, MLflow, Kubernetes, and Azure.Document model architectures, maintain version control, and support deployment processes.RequirementsStrong programming skills in Python with hands-on experience in Django/Flask.Expertise in Machine Learning, Deep Learning, NLP, and Computer Vision, particularly with TensorFlow/PyTorch and scikit-learn.Familiarity with Generative AI, LangChain, RAG, and Large Language Models is preferred.Knowledge of SQL/NoSQL databases, API development, and data visualization tools like Power BI/Tableau.Experience with MLOps/DevOps tools including Docker, Kubernetes, MLflow, Git, and Azure.Strong analytical, problem-solving, and communication skills are essential.A degree in Data Science, Computer Science, or a related field, preferably at the Master's level.



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