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.