-
ID
#23663352 -
Job type
Contract -
Salary
Depends on Experience -
Source
Cynet Systems -
Date
2021-11-23 -
Deadline
2022-01-22
ML / DevOps Engineer
North Carolina, Charlotte, 28201 Charlotte USAContract
Vacancy expired!
We are looking for
ML / DevOps Engineer for our client in Charlotte, NC Job Title: ML / DevOps Engineer Job Location: Charlotte, NC Job Type: Contract Job Description: Responsibilities:- Unify machine learning (ML) systems development and ML systems deployment to standardize and streamline the continuous delivery of high-performing models in production.
- Use statistical and machine learning techniques to create scalable analytics solutions.
- Develop end-to-end (Data/Dev/ML) Ops pipelines based on an in-depth understanding of cloud platforms, AI lifecycle, and business problems to ensure analytics solutions are delivered efficiently, predictably, and sustainably.
- Facilitated the development of objectives by selecting and employing the appropriate SDLC methodologies, and gathering business requirements relevant to ML.
- Execute best practices in version control and continuous integration/continuous delivery.
- Operationalize and monitor ML models using high-end tools and technologies.
- Assist in the development and execution of an AI/data governance framework, with a focus on ensuring that AI technologies are well researched and developed.
- Help administer and work within an AI code of ethics to tackle issues such as privacy, discrimination, data ethics, and promote responsible innovation.
- Prototype and demonstrate solutions for clients in customer environments.
- Explain model behavior/results to both technical and non-technical audiences.
- Collaborate with data scientists, data engineers, and other key stakeholders in a fast-paced cross-functional, and diverse environment.
- Solid understanding of the ML lifecycle and concepts.
- Minimum 3-4 years experience with end-to-end ML development and deployment.
- 6+ years of experience with the design and implementation (building, containerizing, and deploying end-to-end automated data and ML pipelines) of automated cloud solutions.
- 6+ years of experience with TensorFlow, Pytorch, and/or other deep learning frameworks.
- 6+ years of experience with version control tools such as Git.
- Extensive experience working in an Agile development environment.
- Fluency in Python, R, and other common ML languages.
- Fluency in both structured and unstructured data (SQL, NoSQL).
- Production experience with Apache Spark.
- 6+ years of hands-on experience with web APIs, CI/CD for ML, and serverless deployment.
- Familiarity with Linux OS and Windows servers.
- Knowledge of Docker, Jenkins, Kubernetes, and other DevOps tools.
- Outstanding analytical and problem-solving skills
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