Here is how, through this exciting role, YOU will contribute to BMC's and your own success: 

• Build out prototypes using a variety of cutting-edge technologies and tools. 

• Develop quantitative models using a variety of programs/software to support predictive assessments. 

• Support adoption of Artificial Intelligence (AI) and Machine Learning (ML) solutions. 

• Perform multiple forms of advanced analyses, sustainment, optimization, text analytics, machine learning, parametric and non-parametric statistical models & techniques. 

• Build, test, validate and demonstrate analytical models through various relevant error metrics and calibration techniques. 

• Design algorithms that require several different models/methods to be used in an ensemble. 

• Deploy models into production.

To ensure you’re set up for success, you will bring the following skillset & experience:

·       You have experience in AI and NLP techniques with expertise in deep learning and natural language processing.  

·       You have 3+ years of experience working in a Data Science/Machine Learning Engineering role in MLOps or DevOps.  

·       You have the Ability to design and implement cloud solutions and ability to build MLOps pipelines on cloud solutions (OCP, AWS, MS Azure or GCP)  

·       You have experience with MLOps Frameworks like Kubeflow, MLFlow, DataRobot, Airflow etc., experience with Docker and Kubernetes, OpenShift  

·       You have experience with containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes).  

·       You have experience in Programming languages like Python, Go, Ruby or Bash, good understanding of Linux, knowledge of frameworks such as scikit-learn, Keras, PyTorch, Tensorflow, etc.  

·       You have Ability to understand tools used by data scientist and experience with software development and test automation.  

·       You can Execute AI models and algorithms in the production scenario to elevate scalability and performance.  

·       You have Familiarity with cloud platforms such as AWS, OCP, GCP, or Azure.  

·       You have experience with version control systems such as Git. 

Whilst these are nice to have, our team can help you develop in the following skills:

·       CI/CD (Jenkins) environment with popular DevOps tools

·       Experience with Agile methodology, use of Atlassian products Jira, Confluence )

·       You are familiar and can take advantage of advanced IDEs such as IntelliJ, Eclipse or VSCode .