08/10/2024
AI Developer
Package:- 3 - 7 LPA
New Delhi, Delhi, India
Experience:-
=>Python - 1 Years
=>Artificial Intelligence - 1 Years
=>Machine Learning - 1 Years
=>SQL - 1 Years
Job Description : Design, develop, and deploy AI and machine learning models and algorithms. Design, develop, and maintain Java-based applications using Spring, Hibernate, reusable Microservices, REST API's over Master data Collaborate with cross-functional teams to identify and understand business challenges that can be addressed with AI.
=>Perform data analysis and preprocessing to prepare datasets for model training and evaluation. Familiar with SQL or NoSQL databases like MySQL, and MongoDB Implement and optimize deep learning architectures for various applications.
=>Develop and maintain scalable AI pipelines and systems. Conduct research to stay updated on the latest AI trends and technologies.
=>Evaluate and integrate third-party AI tools and platforms as needed.
=>Programming Languages: Proficiency in Python, Java, or C++.
=>Machine Learning Frameworks:
=>Experience with TensorFlow, PyTorch, Keras, or Scikit-Learn.
=>Natural Language Processing (NLP): Knowledge of NLP techniques and tools.
=>Deep Learning Architectures: Familiarity with CNNs, RNNs, GANs, and other deep learning models.
=>Data Handling: Skills in data preprocessing, data wrangling, and feature engineering.
=>Cloud Platforms: Experience with AWS, Google Cloud, or Azure.
=>Big Data Technologies: Understanding of Hadoop, Spark, or Hive.
=>AI Model Deployment: Knowledge of MLOps practices and model deployment.
=>Ethical AI: Awareness of ethical considerations and best practices in AI development.
Key Role: Programming Languages: Proficiency in Python, Java, or C++.
Machine Learning Frameworks: Experience with TensorFlow, PyTorch, Keras, or Scikit-Learn.
Natural Language Processing (NLP): Knowledge of NLP techniques and tools.
Deep Learning Architectures: Familiarity with CNNs, RNNs, GANs, and other deep learning models.
Data Handling: Skills in data preprocessing, data wrangling, and feature engineering.
Cloud Platforms: Experience with AWS, Google Cloud, or Azure.
Big Data Technologies: Understanding of Hadoop, Spark, or Hive.
AI Model Deployment: Knowledge of MLOps practices and model deployment.
Ethical AI: Awareness of ethical considerations and best practices in AI development.
Email Resume:-*[email protected]*
*Whatsapp at:- 9315173463*
https://optimhire.com/developers/jv/226955?ref_code=shilpi-goel
Are you a Developer searching for a Jobs Online? Your wait is Over, Create your Profile at Optim Hire today and get hired soon!