Job Summary We are seeking a highly skilled AI and Machine Learning Engineer to join our team. As an AI and Machine Learning Engineer, you will be responsible for designing, developing, and deploying artificial intelligence systems that advance predictive automation capabilities. Main Responsibilities - Develop and deploy machine learning models for various applications, leveraging your expertise in Python, R, or similar languages. - Collaborate with cross-functional teams to develop data-driven features, utilizing your knowledge of machine learning libraries and frameworks such as TensorFlow, PyTorch, scikit-learn, etc. - Optimize and improve the performance of existing machine learning models, applying your solid understanding of machine learning algorithms, deep learning architectures, and statistical methods. - Implement and maintain scalable machine learning pipelines and infrastructure, ensuring seamless integration with cloud platforms (AWS, GCP, or Azure). - Analyze and preprocess large datasets to extract valuable insights and features, staying up-to-date with the latest developments in machine learning and related technologies. - Conduct model training, validation, and performance evaluation to ensure models meet required accuracy and reliability, leveraging your experience with MLOps tools and best practices for scalable model deployment and monitoring. - Create and maintain documentation related to machine learning models, algorithms, and processes, communicating effectively with cross-functional teams. - Develop A/B testing frameworks and manage the deployment of models in production, applying your hands-on experience with SQL databases and API integration. Requirements - Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Statistics, or a related field. - 4+ years of experience in AI and Machine Learning, with a proven track record as a Machine Learning Engineer, Data Scientist, or in a similar role. - Strong programming skills in Python, R, or similar languages, as well as proficiency with machine learning libraries and frameworks. - Experience with natural language processing (NLP) and its applications, including text generation techniques and language models like GPT. - Hands-on experience with cloud platforms, deploying models in production, and working with version control systems (e.g., Git) and continuous integration/continuous deployment (CI/CD) pipelines. - Solid understanding of machine learning algorithms, deep learning architectures, and statistical methods, as well as ability to work in a collaborative environment and communicate effectively with cross-functional teams. Bonus Points For - Knowledge of real-time data processing and streaming technologies. - Experience with reinforcement learning, generative models, or unsupervised learning techniques. - Familiarity with data privacy and security regulations. About This Role This is a unique opportunity to join a global team of experts who solve complex problems and build cutting-edge technology at scale. As a key member of our team, you will have the chance to work with experienced leaders who have built and led multiple tech, product, and design teams.