Advances in AI and Machine Learning Professional

5 days ago


vellore, India beBeeMachineLearning Full time

Artificial Intelligence and Machine Learning EngineerWe are seeking a skilled Artificial Intelligence and Machine Learning Engineer to build efficient, data-driven systems that enhance our predictive capabilities. The ideal candidate should have a strong background in machine learning, data science, and software development, with the ability to confidently assess, analyze, and organize large amounts of data.Key Responsibilities:Design, develop, test, and deploy machine learning models for various applicationsCollaborate with data scientists, software engineers, and product managers to develop data-driven featuresOptimize and improve the performance of existing machine learning modelsImplement and maintain scalable machine learning pipelines and infrastructureAnalyze and preprocess large datasets to extract valuable insights and featuresStay updated with the latest developments in machine learning, deep learning, and related technologiesConduct model training, validation, and performance evaluation to ensure models meet the required accuracy and reliabilityCreate and maintain documentation related to machine learning models, algorithms, and processesDevelop A/B testing frameworks and manage the deployment of models in productionRequirements:To be successful in this role, you will need to have a Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Statistics, or a related field, along with 3+ years of experience in AI and Machine Learning and 1+ year of experience in GenAI.Desirable Skills:The following skills are highly desirable:Strong programming skills in Python, R, or similar languagesProficiency 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 visualizationHands-on experience with SQL databases and API integrationExperience with text generation techniques, including language models like GPTHands-on experience with cloud platforms (AWS, GCP, or Azure) and deploying models in productionSolid understanding of machine learning algorithms, deep learning architectures, and statistical methodsExperience with version control systems (e.g., Git) and continuous integration/continuous deployment (CI/CD) pipelinesAbility to work in a collaborative environment and communicate effectively with cross-functional teams



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