AI/ ML Engineer
3 weeks ago
Location: Columbus, OH/ Wilmington, DE (Day 1 Onsite - 3 days onsite and 2 days remote)
Job Description:
- Proven experience as a Machine Learning Engineer or similar role
- Expert level experience in Client SDLC, developing and productionizing Python and Jav pplications
- Expert level hands on experience in deploying Client applications to AWS cloud using (SageMaker, 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 nd 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 Client 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 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 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.
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.
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