Artificial Intelligence Specialist

4 days ago

bikaner, India beBeeMachineLearning Full time

We are seeking a highly skilled Machine Learning Engineer to develop advanced artificial intelligence systems that drive our predictive automation capabilities.ResponsibilitiesDesign, develop, test and deploy machine learning models for various applications.Collaborate with data scientists, software engineers and product managers to create data-driven features.Optimize and improve the performance of existing machine learning models.Implement and maintain scalable machine learning pipelines and infrastructure.Analyze and preprocess large datasets to extract valuable insights and features.Stay updated with the latest developments in machine learning, deep learning and related technologies.Conduct model training, validation and performance evaluation to ensure models meet the required accuracy and reliability.Create and maintain documentation related to machine learning models, algorithms and processes.QualificationsBachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Statistics or a related field.3+ years of experience in AI and Machine Learning.1+ years of experience in General AI.Proven experience as a Machine Learning Engineer, Data Scientist or in a similar role.Strong programming skills in Python, R or similar languages.Proficiency with machine learning libraries and frameworks such as TensorFlow, PyTorch, scikit-learn, etc. and experience with NLP libraries (e.g., NLTK, spaCy, Hugging Face Transformers).Experience with data preprocessing, data wrangling and data visualization.Hands-on experience with SQL databases and API integration.Experience with text generation techniques including language models like GPT.Hands-on experience with cloud platforms (AWS, GCP, or Azure) and deploying models in production.Solid understanding of machine learning algorithms, deep learning architectures and statistical methods.Experience with version control systems (e.g., Git) and continuous integration/continuous deployment (CI/CD) pipelines.Nice-to-Have Knowledge of natural language processing (NLP) and its applications.Experience with MLOps tools and best practices for scalable model deployment and monitoring.Familiarity with data privacy and security regulations.Experience with real-time data processing and streaming technologies.

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