Design, build, and deploy intelligent software systems that automate complex tasks.

Bridge raw data and functional AI, training machine learning models, creating data pipelines, and integrating AI capabilities into existing production environments.

Key Responsibilities

Model Development: Select algorithms, train models, tune hyperparameters, and experiment with architectures (ranging from classical ML to Generative AI and deep learning.

System Infrastructure: Build and manage scalable data pipelines, automated training infrastructures, and production-ready APIs.

Deployment & Monitoring: Deploy AI tools, troubleshoot algorithm issues, and continuously monitor live models for performance drops or data drift.

Cross-Functional Collaboration: Partner with data scientists, software developers, and business stakeholders to translate project requirements into workable AI solutions.

Essential QualificationsEducation: Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, or a related field.

Programming Languages: Proficiency in Python, R, Java, or C++.Frameworks & Tools: Experience with ML and Deep Learning frameworks like PyTorch, TensorFlow, Keras, or Spark.

📌 Ai Engineer (Karjat)
🏢 uai - school of management
📍 Karjat