AI Software Developer

2 days ago

salem, India beBeeMachineLearning Full time

Job Title: Artificial Intelligence DeveloperWe are seeking a highly skilled Artificial Intelligence (AI) Developer to join our team. As an AI developer, you will be responsible for designing, developing, testing, and deploying efficient, data-driven artificial intelligence systems that advance our predictive automation capabilities.The ideal candidate will have a strong background in machine learning, data science, software development, and cloud platforms. They should be proficient in programming languages such as Python and R, and have experience with machine learning libraries and frameworks like TensorFlow and PyTorch.Key Responsibilities:Designing, developing, and deploying AI models for various applicationsCollaborating with data scientists, software engineers, and product managers to develop data-driven featuresOptimizing and improving the performance of existing AI modelsImplementing and maintaining scalable AI pipelines and infrastructureAnalyzing and preprocessing large datasets to extract valuable insights and featuresRequirements: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 Generalized AI (GenAI)Proven experience as an AI 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 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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