Artificial Intelligence Systems Developer

2 weeks ago

pushkar, India beBeeMachine Full time

Job Title: Data Science ExpertAt the forefront of technology, we're seeking a seasoned Data Science Expert to spearhead the development of cutting-edge artificial intelligence systems.This is an exceptional opportunity for a visionary professional to drive predictive automation capabilities using data-driven insights.Design and deploy efficient machine learning models that revolutionize business processesCollaborate with cross-functional teams to develop innovative data-driven featuresOptimize existing machine learning models to enhance performance and accuracyDevelop scalable machine learning pipelines and infrastructureExtract valuable insights from large datasets to inform business decisionsStay abreast of the latest advancements in machine learning, deep learning, and related technologiesConduct model training, validation, and performance evaluation to ensure reliabilityDocument machine learning models, algorithms, and processesImplement A/B testing frameworks and manage model deployment in productionKey qualifications include a Bachelor'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 GenAI, and 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).Requirements: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 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: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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