Elasticsearch Architect
- Full-time
Job Description
Total Experience- 6-8 years
Role Description
Hands-on application design, coding, and deployment of Elastic Search and ELK Stack. Work on enhancing Machine learning use case development and model training. Hands development on existing GEN AI use cases and building new ones. Collaboration with Data Analytics team to leverage the Machine Learning expertise.
Required Skill Set
Strong Knowledge of Programming and Scripting languages such as Java, Python, Shell Script, Elastic. Experience with development and management of ML model pipelines, feature engineering, model training, and inferencing. Knowledge in deep learning frameworks such as TensorFlow and PyTorch. Minimum 5 years of work experience and knowledge in all stages of software development. Knowledge about DevOps (GitHub, Jenkins, Urban codes, Nexus, Ansible, etc.), application monitoring tools (Dynatrace, Prognosis) and related tools. Public and Private cloud knowledge, skills, and experiences (Azure, AWS, GCP, OpenShift, Dockers, Kubernetes) is preferred. Experience working in ELK technology stack and graph DB (neo4j, Neptune) is preferred. Strong analytical, consultative, and communication skills.
Desired Skill Set
Strong communication skills and proactive attitude. Experience working in ELK technology stack and graph DB (neo4j, Neptune) is preferred. Experience in Agile delivery using Jira.
Regards,
Mohammed Ilyas,
PH - 229-264-4024 or Text - 229-469-1455 or You can share the updated resume at Mohammed@vtekis. com
Additional Information
All your information will be kept confidential according to EEO guidelines.