AI Machine Learning Engineer

Role Overview: As a Machine Learning Engineer, your main objective will be to design, implement, and deploy machine learning models. You will collaborate with data scientists to transform prototypes into production systems and manage and automate the end-to-end machine learning lifecycle. Your responsibilities will also include implementing continuous integration and continuous deployment (CI/CD) pipelines specifically tailored for ML workflows, monitoring the performance of deployed models in real-time, handling model drift, and implementing retraining strategies. It will be crucial for you to ensure reproducibility, traceability, and versioning for ML models and datasets, as well as optimizing ML infrastructure for performance, scalability, and cost. Additionally, staying updated with the latest trends and tools in machine learning and MLOps will be essential. Key Responsibilities: - Design, implement, and deploy machine learning models - Collaborate with data scientists to transform prototypes into production systems - Manage and automate the end-to-end machine learning lifecycle - Implement CI/CD pipelines tailored for ML workflows - Monitor the performance of deployed models in real-time, handle model drift, and implement retraining strategies - Ensure reproducibility, traceability, and versioning for ML models and datasets - Optimize ML infrastructure for performance, scalability, and cost - Stay updated with the latest trends and tools in machine learning and MLOps Qualifications Required: - Strong programming skills, preferably in Python - Familiarity with ML frameworks (e.g., TensorFlow, PyTorch) - Experience with data processing tools and libraries (e.g., Pandas, Scikit-learn) - Familiarity with CI/CD tools such as Jenkins, GitLab CI, or similar - Experience with containerization technologies like Docker and orchestration tools like Kubernetes - Knowledge of ML model versioning and management tools like MLflow or DVC - Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and their ML deployment services - Strong problem-solving skills and the ability to work in a collaborative team environment Additional Company Details: In this role, you will have the opportunity to work with a great team of smart individuals in a friendly and open culture. You will not have to deal with micromanagement or unnecessary tools, and there will be no rigid working hours. You will be entrusted with real responsibilities and challenges in a fast-evolving company, allowing you to expand your knowledge across various business industries. Furthermore, you will have the chance to create content that directly impacts and helps users on a daily basis.,