Intelligent Systems Developer

6 days ago

erode, India beBeeMachineLearning Full time

Job Description:We are seeking a skilled Machine Learning Engineer to develop and deploy efficient data-driven AI systems that enhance our predictive automation capabilities. The ideal candidate will have a strong background in machine learning, data science, and software development.The selected candidate will work closely with our product, data science, and engineering teams to develop, deploy, and maintain machine learning models that drive our vision. The role involves designing, developing, testing, and deploying machine learning models for various applications.Additionally, the successful candidate will collaborate with data scientists, software engineers, and product managers to develop data-driven features. They will also be responsible for optimizing and improving the performance of existing machine learning models, implementing and maintaining scalable machine learning pipelines and infrastructure, and analyzing and preprocessing large datasets to extract valuable insights and features.Qualifications:Proven experience as a Machine Learning Engineer or in a similar roleStrong 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 productionResponsibilities Include:Designing, developing, testing, and deploying machine learning models for various applicationsCollaborating with data scientists, software engineers, and product managers to develop data-driven featuresOptimizing and improving the performance of existing machine learning modelsImplementing and maintaining scalable machine learning pipelines and infrastructureAnalyzing and preprocessing large datasets to extract valuable insights and featuresEducation and Experience:Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Statistics, or a related field3+ years of experience in AI and Machine learning1+ years of experience in GenAINice-to-Have Skills:Knowledge of natural language processing (NLP) and its applicationsExperience with MLOps tools and best practices for scalable model deployment and monitoringFamiliarity with data privacy and security regulationsExperience with real-time data processing and streaming technologiesExperience with reinforcement learning, generative models, or unsupervised learning techniques

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