Machine Learning Engineer : Develop and deploy machine learning models and systems for various applications, such as predictive analytics, recommendation systems, and fraud detection.
Data Scientist : Analyze large datasets, extract insights, and build predictive models using statistical analysis, machine learning techniques, and data visualization tools.
AI/ML Research Scientist : Conduct research to advance the field of machine learning Course in Pune by developing novel algorithms, models, and techniques, and publishing findings in academic journals and conferences.
AI/ML Consulting : Provide expertise and guidance to businesses on leveraging machine learning and AI technologies to solve complex problems, optimize processes, and drive innovation.
MLOps Engineer : Manage the end-to-end lifecycle of machine learning models, from development and training to deployment and monitoring, while ensuring scalability, reliability, and performance.
NLP Engineer : Develop algorithms and systems for processing and understanding human language, enabling applications such as chatbots, language translation, sentiment analysis, and text summarization.
Computer Vision Engineer : Work on algorithms and systems for analyzing and interpreting visual data, including image recognition, object detection, and scene understanding, for applications in various industries.
AI Ethics and Bias Specialist : Address ethics and fairness concerns related to AI and Machine Learning Training in Pun e technologies, develop policies and guidelines for responsible AI deployment, and mitigate biases in AI systems.
Data Engineer : Build and maintain data infrastructure and pipelines to support machine learning and analytics workflows, ensuring the reliability, scalability, and efficiency of data processing and storage.
AI Product Manager : Lead the development and strategy of AI and machine learning products, collaborating with cross-functional teams to define product requirements, prioritize features, and drive successful product launches.
