We build machine learning applications that integrate with other applications throughout the firm including workforce tech and HR functions. Our current focus is building a workforce tech AI/ML platform for HR portfolio. Machine Learning models add business critical information to various HR functions like employee experience, recruiting, surveys etc. and our platform integrates with a number of internal applications serving thousands of business users.

As Machine Learning Software Engineer, you will  apply your depth of knowledge and expertise to all aspects of the Machine Learning software development lifecycle, as well as partner continuously with your many stakeholders on a daily basis to stay focused on common goals. We embrace a culture of experimentation and constantly strive for improvement and learning. 

 

Job responsibilities

Experience deploying and scaling distributed systems in a cloud environment (preferably AWS implementations) Advanced knowledge of application, data, and infrastructure architecture disciplinesAdvanced knowledge of architecture and design across all systems and cloud computing environmentsStrong Programming skills in Java, Python,  Bash, Groovy and software engineering principles.Develop high quality, secure, scalable software solutions based on technical requirements specifications and design artifacts within expected time and budget.Research, create and evaluate technical solution alternatives for the business needs.Experienced in building REST Extensive experience of Internet and Web Technologies including a strong understanding of network protocols such as DNS, HTTP, and associated tools and technologiesKnowledge of industry-wide technology trends and best practices

Ability to work in large, collaborative teams to achieve organizational goals

 

Required qualifications, capabilities, and skills

Proven experience as a Machine Learning Engineer or similar  roleExpert level experience in ML SDLC ,  developing  and productionizing  Python and Java  applicationsExpert level hands on experience in deploying ML applications to AWS cloud using (SageMaker, EMR etc)Hands on experience in  AWS apps such EMR,EC2,Lamda, SageMaker , Cloud Watch, S3 Data Lake etc ((this is a must)Strong knowledge   in  CI/CD pipelines   and tools such as  Jenkins, Spinnaker, Bitbucket, Splunk, CloudWatch, Grafana, Dynatrace, Terraform .. etc (this is a must)Experience in deploying applications Kubernetes and AWS platform

Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)

 

 

 

Preferred qualifications, capabilities, and skills

Computer science degree or equivalent experience

AWS Certifications (AWS Solution architect, developer or ML Specialty)

Agile fundamentals