ML Engineer

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 onpremises and hybrid multiple operating systems and through containerization techniques such as Docker Kubernetes AWS Elastic Container Service and others
  
• Adept in agile methodologies and wellversed 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.