• Find preferred job with Jobstinger
  • ID
    #23663352
  • Job type
    Contract
  • Salary
    Depends on Experience
  • Source
    Cynet Systems
  • Date
    2021-11-23
  • Deadline
    2022-01-22
 
Contract

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.
Required Experience:
  • 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

Vacancy expired!

Report job

Related Jobs

Jobstinger