Senior Software Engineer, Machine Learning Engineering
Company: Experis
Location: Richmond
Posted on: May 27, 2023
Job Description:
Must be in:
- Richmond, VA
- Dallas, TX
- Atlanta, GAAll other candidates will not be consideredEssential
Responsibilities:The Senior Engineer in the Data Science and
Machine Learning Engineering team will be responsible for in
providing reliable and scalable machine-learning capabilities
across the organization. This role will closely partner with Data
Scientists to design and productionalize machine learning models,
including testing and monitoring of the applications and front-end
experiences. The ideal candidate will have the substantial
experience in software engineering and cloud engineering that is
necessary to turn machine learning models into highly visible,
mission-critical capabilities that drive an iconic customer
experience and will have a passion for Data Science and Machine
Learning.Minimum Qualifications:
- 5+ years' software-engineering experience in an
enterprise-level environment
- 2+ years' experience designing and developing on distributed
architectures (microservices, Kubernetes, etc.)
- 2+ years leading the end-to-end design and development of
scalable services to be consumed by the enterprise, including
monitoring and production support
- Proficient in the Python programming language
- 2+ years' experience building enterprise-level solutions with
Microsoft Azure or equivalent cloud technologies
- Experience in DevOps practices, testing frameworks, and
CI/CD
- Excellent communication skills, adapting to various audience
types
- Experience on a fast-paced, highly collaborative agile team
within a Product-oriented organization
- Ability to positively influence team norms, culture, and
technical vision
- Bachelor's Degree in Computer Science or related Technology
field or equivalent experiencePreferred Qualifications:
- Proficient in an object-oriented programming language (i.e. C#,
Java)
- Proficient in writing production level code in python
(services, applications, etc.)
- Experience in machine-learning and/or AIaaS with demonstrated
knowledge or projects
- Familiarity with MLOps and industry-standard machine-learning
Python libraries
- Enthusiastic about the vision of building an augmented
algorithmic organization
- Model Development and Deployment (MLFlow, Azure ML, Sage Maker,
or others)
- Data Science Libraries and Algorithms (TensorFlow, Scikit,
PyTorch, etc)
- Degree in Computer Science, Decision Science, Engineering,
Statistics, or a related field, or equivalent alternative
education, skills, and/or practical experience is required.Work
Location and Arrangement: This role will be based out of one of the
following locations and have a Hybrid work arrangement:
- Richmond, VA
- Dallas, TX
- Atlanta, GA Work Authorization: Applicants must be currently
authorized to work in the United States on a full-time basis.
Sponsorship will be considered for this specific role.
Keywords: Experis, Richmond , Senior Software Engineer, Machine Learning Engineering, IT / Software / Systems , Richmond, Virginia
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