$40000 - $45000 Year
Monday to Friday
Day shift
Health insurance
Paid time off
Employee discount
Dental insurance
Vision insurance
401(k)
401(k) matching
Flexible schedule
Parental Leave
Tuition reimbursement
Flexible spending account
Retirement plan
Others
Analyses technical requirements provided by solution architect and translates them into implementable software designs and configurations.
Evaluates possibilities with different technologies and platforms.
Design, develop and implement AI platform using Cloud architecture with structured and unstructured data source.
Follows agile and/or PM practices. Reports the progress of Sprints.
Responsible that implemented solution is aligned and based on the solution design provided by solution architect.
Inspect and verifies the quality of the Releases before delivery.
Can act as a testing specialist, responsible for the quality of software development and deployment. Performing automated and manual tests to ensure the software created by developers is fit for purpose. Handles test planning, risk mitigation and prevention of software issues.
Takes care of solution integration and provisioning.
Provide production support right after the move into production.
Analyze and studies complex systems requirements and troubleshoots and resolves issues in existing software or solution.
Provides technical guidance for projects or solution designs.
KEY SKILLS AND EXPERIENCE
Bachelor’s degree in computer science, IT, related fields with min 7yrs of experience of relevant experience
Experience in MLops and excellent understanding of machine learning framework.
Knowledge of python programming.
Linux Admin and scripting
Virtualization and containers
Generic DevOps and MLOps tooling.
Experience in cloud technologies/cloud computing (GCP, Azure, or AWS) / on premise
Strong knowledge and hands-on experience with CI/CD
Hands-on Experience on K8s
Understanding of Golang
ML ops architecture planning support
implementing practical AI solutions within enterprise ecosystems using agile and lean methodologies,
Working experience with Opensource Machine learning tools.
Continuous improvement mindset
Communication skills
Basic knowledge of telecom domain.
Relevant Knowledge in continuous monitoring (include alerting tools) of the models or risk assessment (Model drift, Concept drift, data drift)
Communication
Leadership
Teamwork
Interpersonal
Learning/adaptability
Self-management
Organizational
Computer
Problem solving
Open mindedness
Strong work ethic
technology
Others
7yrs of experience
Technology
On going position
Remote