Wavity - Artificial Intelligence Engineer - Python

Key Responsibilities : - Design, develop, and deploy machine learning and deep learning models to solve specific business problems. - Research and implement state-of-the-art AI algorithms and techniques. - Fine-tune and optimize models for performance, scalability, and accuracy. - Collect, clean, and preprocess large datasets to ensure high-quality data for training AI models. - Collaborate with data engineers to implement effective data pipelines for AI model training. - Apply data augmentation and feature engineering techniques to enhance model performance. - Work with software engineering teams to integrate AI models into production applications and systems. - Deploy models in scalable cloud environments (AWS, Azure, Google Cloud, etc.) - Monitor and maintain AI models to ensure continuous improvement and optimal performance. - Collaborate with data scientists to understand business objectives and refine AI models based on their feedback. - Partner with product managers to translate business requirements into technical AI solutions. - Provide technical support to stakeholders and end-users on AI system integration. - Evaluate model performance using appropriate metrics, and continuously improve models through retraining and optimization. - Implement automated testing processes to validate AI models before deployment. - Stay up-to-date with the latest advancements in AI and machine learning. - Contribute to internal knowledge sharing by presenting research, experiments, and findings to the team. - Explore new AI technologies and propose innovative solutions for business challenges. - Ensure that AI systems adhere to ethical standards, including fairness, transparency, and accountability. - Work to reduce bias in models and ensure the ethical use of data. Required Qualifications : Education : - Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Experience : - Proven experience (4 years) in AI engineering, machine learning, or deep learning roles. - Experience with building and deploying machine learning models in a production environment. Technical Skills : - Strong proficiency in Python and machine learning libraries such as TensorFlow, PyTorch, Keras, or Scikit-learn. - Experience with cloud platforms (AWS, Google Cloud, Azure) for model deployment. - Knowledge of AI techniques such as supervised learning, unsupervised learning, reinforcement learning, and natural language processing (NLP). - Familiarity with big data tools and frameworks like Spark, Hadoop, and SQL/NoSQL databases. - Experience with model optimization and deployment tools (Docker, Kubernetes, CI/CD pipelines) is a plus. - Strong analytical and problem-solving skills to build innovative AI models and solutions. - Ability to troubleshoot complex technical issues and propose actionable solutions. - Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders. - Ability to collaborate effectively with cross-functional teams to deliver AI solutions (ref:hirist.tech)

Location: hyderabad, IN

Posted Date: 12/26/2024