Data Driven AI Expert

2 weeks ago

ballari, India beBeeArtificialintelligence Full time

AI/ML SpecialistWe are looking for a highly skilled expert to develop, deploy and maintain efficient artificial intelligence systems that advance our predictive capabilities.Key Responsibilities:Designing and developing 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 processesDeveloping A/B testing frameworks and managing the deployment of models in productionRequired Skills and Qualifications: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 General Artificial IntelligenceProven 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 teamsBenefits:Opportunity to work on challenging projects and contribute to the development of cutting-edge technologyCollaborative and dynamic work environmentProfessional growth and development opportunitiesOthers:Knowledge of natural language processing and its applications is a plusExperience with MLOps tools and best practices for scalable model deployment and monitoring is a plus

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