ML – Ops Engineer Job Vacancy in citius tech Remote – Updated today
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Company Name : citius tech
Location : Remote
Position :
Job Description : ML-Ops
ID: 2548 | 5 – 7 yrs | US | careers
Location
San Ramon, CA (Remote)
Experience
5 – 7 Years
Job Description
We are currently implementing a solution for one of our Healthcare clients. We are looking to hire a ML-Ops Engineer to join our existing team. This project is being implemented by CitiusTech for one of our largest customers and the project is an ongoing multi-year initiative.
Your key responsibilities include:
Create roadmap for ML-Ops process flow & infrastructure of scalable enterprise applications
Working expertise in written and deployed production code in Python, R, SQL and Bash scripting
Expertise in building distributed high-performance data ingestion pipeline systems for batch and streaming data
Experience on automation of CI/CD/CT pipelines to standardize production and deployment process for ML
Proficiency in statistics and good understanding on the working of ML models, interpretation of results, defining KPI’s for monitoring and evaluating model re-training/tuning needs
Comfortable in configurating and managing databases such as MySQL, MongoDB etc.
Worked extensively on AWS
Possess expertise on Kubernetes cluster
Developed skills around installation, configuration and commonly used docker commands
Comfortable with commonly used git commands and have awareness of basic admin activities such as user management & branching
Know how to create free style Jenkins jobs
Working in fast paced environments designed to function in an Agile, Kanban, or Scrum
Aware of critical concepts in DevOps and Agile principles
Education
Bachelor’s degree or Relevant experience required
Technical Certifications are desirable
Mandatory Skills
Should have good knowledge of Python/Java and AWS
Should have good design and analytical skills
Good Communication skills
Expert in Python with knowledge of at least one Python web framework
Understanding of the threading limitations of Python, multi-process architecture, Python data structures, and Python packaging
Familiarity with implementing cloud solutions with Python
Strong debugging and unit testing skills using a well-known and accepted unit testing framework
Proficient in understanding of code versioning tools and CI/CT/CD processes
Desired Skills
Experience with NumPy, SciPy, open-cv, imageio, Matplotlib, pillow and other python libraries is a Plus
Experience with Analytics, machine learning or Medical Imaging will be added advantage
Experience with public cloud infrastructures such as Amazon Web Services or Azure is a bonus
Your Team
As a ML-Ops Engineer, you will be part of the Enterprise Applications proficiency at CitiusTech, which includes 2,800+ software engineers, Cloud specialists and QA professionals. The proficiency has rich experience across a range of areas such as digital transformation, Full Stack engineering, Cloud Computing, mobility, IoT, DevOps, microservices, performance testing, security and automation. We provide complete SDLC coverage to help clients at all stages of product roadmap and application development.
We have strong experience in training and developing highly skilled engineers for cutting-edge projects with leading healthcare organizations. We help you build next-generation capabilities across a variety of technologies that range from event driven architectures, micro-frontends, microservices and tech such as Docker, Kubernetes, Helm, Graal and Dapr to building and deploying scalable, secure and compliant applications, API and apps natively on AWS, Azure, GCP or IBM Cloud.
Our success lies in our ability to create a fun, transparent and non-hierarchical work environment which focuses on continuous learning and work life balance. Our strong focus on employee satisfaction and workplace flexibility has made us one of the ‘Best Companies to Work for 10 years in a row (2012-2021).
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