Intelligent Systems Architect

2 weeks ago

alappuzha, India beBeeMachineLearning Full time

We are seeking an experienced Machine Learning Engineer to develop and deploy efficient, data-driven artificial intelligence systems.Responsibilities: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 featuresStaying updated with the latest developments in machine learning, deep learning, and related technologiesConducting model training, validation, and performance evaluation to ensure models meet the required accuracy and reliabilityCreating and maintaining documentation related to machine learning models, algorithms, and processesQualifications: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 GenAIProven experience as a Machine Learning Engineer, Data Scientist, 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 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 teamsNice-to-Have Qualifications: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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