AI Expert Software Developer

3 days ago

Kolhapur, India beBeeArtificialIntelligence Full time

Software Test Engineer Job SummaryWe are seeking a skilled Software Test Engineer to drive the development and deployment of AI-powered solutions.Main ResponsibilitiesAI Model Design and Development: Utilize expertise in algorithms, data processing, and system integration to deliver high-performance AI models.Data Pipeline Creation: Develop data pipelines for preprocessing, cleaning, and transforming large datasets.Machine Learning Model Training and Evaluation: Ensure the highest quality AI models are ready for production use.AI Model Integration: Seamlessly integrate AI models into applications and production systems.Research and Implementation of New AI Frameworks: Stay ahead of the curve by researching and implementing new AI frameworks, tools, and methodologies.Algorithm Debugging and Optimization: Improve system performance by debugging, optimizing, and scaling algorithms.Collaboration with Cross-Functional Teams: Work with data science, product, and engineering teams to deliver end-to-end AI solutions.Required Skills and QualificationsBachelor's or Master's Degree: In Computer Science, Artificial Intelligence, Data Science, or a related field.Programming Skills: Proficient in Python, Java, or C++.Machine Learning Concepts: Solid understanding of classification, regression, NLP, computer vision, and deep learning.Frameworks: Hands-on experience with TensorFlow, PyTorch, or scikit-learn.Algorithms and Data Structures: Proficient in algorithms, data structures, and object-oriented programming.AI Application Deployment: Experience building and deploying AI applications in real-world environments.Analytical and Problem-Solving Skills: Strong analytical, problem-solving, and debugging skills.Preferred QualificationsLarge-Scale Data Pipelines: Experience with large-scale data pipelines and distributed systems.Cloud Platforms: Familiarity with cloud platforms (AWS, Azure, or GCP).APIs, Microservices, and Containerization: Knowledge of APIs, microservices, and containerization (Docker, Kubernetes).MLOps Practices: Exposure to MLOps practices and continuous integration/continuous deployment (CI/CD).Apllied AI and Emerging Technologies: Strong interest in applied AI and innovation in emerging technologies.

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