Job description

Job Description

    Job Title: AI/ ML Engineer 
    Location: Columbus, OH (Day 1 Onsite)
    Duration: Long-Term

    Job Description:

    • Proven experience as a Machine Learning Engineer or similar role. Overall, 10 Years
    • Expert level experience in ML SDLC, developing and productionizing Python and Java applications
    • Expert level hands on experience in deploying ML applications to AWS cloud using (Sage Maker, EMR, S3, VPC endpoint etc.)
    • Hands on experience in AWS apps such EMR, Sage Maker, 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)
    • Familiarity with data pipelines, HADOOP, Hive, Redshift etc.
    • AWS certification (Developer or Architect or ML Specialty) is a huge plus.
    • Experience deploying and scaling distributed systems in a cloud environment (preferably AWS implementations)
    • Advanced knowledge of architecture and design across all systems and cloud computing environments
    • Strong Programming skills in 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 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 technologies
    • Strong understanding of network protocols and network security
    • Passionate about building an innovative and team centric culture.
    • Knowledge of industry-wide technology trends and best practices
    • Ability to work in large, collaborative teams to achieve organizational goals.