We are seeking a highly motivated and experienced Machine Learning engineer to join our team. As a Machine Learning engineer, you will be responsible for creating and implementing complex machine learning algorithms that will help to improve our products and services. The ideal candidate will have a strong background in computer science with strong programming skills in the following:

• Total Experience of 4 to 6 years as ML Engineer
• Experience of working across environments including cloud, on-premises and hybrid, multiple operating systems and through containerization techniques such as Docker, Kubernetes, AWS Elastic Container Service, and others
  
• Adept in agile methodologies and well-versed in applying DevOps/MLOps methods to the construction of ML and data science pipelines.
  
• Containerization: Experience with containerization technologies such as Docker and Kubernetes.
  
• Expertise in at least one programming language, such as Python, Java, or Go.
  
• Cloud computing: Experience with cloud computing platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP).
  
• Knowledge of DevOps practices such as continuous integration, continuous delivery, and infrastructure as code.
  
• Experience with version control systems such as Git.
  
• Able to manipulate and analyze large datasets using tools such as SQL, Pandas, or NumPy.
  
• Experience with designing and implementing machine learning workflows, including data preprocessing, feature engineering, model training, and evaluation.
  
• Experience with monitoring and logging tools such as Prometheus, Grafana, or ELK stack.
  
• Knowledge of security best practices for machine learning systems, including data privacy, access control, and threat detection.