Software Engineer

HTC Global Services
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Job Description

At HTC Global Services our consultants have access to a comprehensive benefits package. Benefits can include Paid-Time-Off, Paid Holidays, 401K matching, Life and Accidental Death Insurance, Short & Long Term Disability Insurance, and a variety of other perks.

Position Description:

The position will collaborate directly and continuously with other engineers, business partners, product managers and designers, and will release early and often. The team you will be working on is focused on building Mach1ML platform – an AI/ML enablement platform to democratize Machine Learning across the enterprise (similar to Uber’s Michelangelo, Facebook’s FBLearner, etc.).

Position Responsibilities:

  • Work closely with Tech Anchor, Product Manager and Product Owner to deliver Machine learning Platform and tools for the data scientists across the company.
  • Work with software and ML engineers to tackle challenging AIOps problems.
  • Work specifically on the model team to help build tools/ML Pipeline and systems using Python that make data scientists happier and more productive.
  • Help innovate standardize machine learning development practices.
  • Experiment, innovate and share knowledge with the team.
  • Act as a consultant to the business vs. an order taker.
  • Lead by example in use of Paired Programming for cross training/upskilling, problem solving, and speed to delivery.
  • Leverage latest of Google Cloud and Kubernetes technologies.

Skills Required:

  • 2+ years of experience with Cloud Engineering / Services.
  • 3+ years of work experience as a software engineer with exceptional software engineering knowledge.
  • Advanced working knowledge of object-oriented/object function programming languages: Python, C/C++, Julia.
  • Experience with data pipeline and workflow management tools: Airflow, Kubeflow etc.
  • Experience with cloud services, preferably GCP Services like Vertex AI, Cloud Function etc.
  • Experience in container management solution: Kubernetes, Docker.
  • Experience in scripting language: Bash, PowerShell etc.
  • Experience in DevOps: Jenkins/Tekton etc.
  • Experience with Infrastructure as code: Terraform etc.

Skills Preferred:

  • Master focused in Computer Science / Machine Learning (highly preferred).
  • Experience working with Google Cloud platform – specifically Google Kubernetes engine, Terraform, and infrastructure.
  • Experience in delivering cloud engineering product.
  • Experience in programming concepts such as Paired Programming, Test Driven Development, etc.
  • Experience in supporting continuous improvement by investigating development alternatives.
  • Understanding of common machine learning frameworks: sklearn, tensorflow, pytorch etc. is a big plus.
  • Experience applying agile practices to solution delivery.
  • Experience in all phases of the development lifecycle.
  • Must be team-oriented and have excellent oral and written communication skills.
  • Good organizational and time-management skills.
  • Must be a self-starter to understand existing bottlenecks and come up with innovative solutions.
  • Open to learning new technology.
  • Knowledge of coding and software craftsmanship practices.

Experience Required:

  • A Bachelor’s degree in Computer Science / Computer Engineering or similar technical discipline.
  • 3+ years of experience with Cloud Engineering / Services.
  • 2+ years of work experience as a software engineer with exceptional software engineering knowledge.
  • Advanced working knowledge of object-oriented/object function programming languages: Python, C/C++, Julia.
  • Experience with data pipeline and workflow management tools: Airflow, Kubeflow etc.
  • Experience with cloud services, preferably GCP Services like Vertex AI, Cloud Function etc.
  • Experience in container management solution: Kubernetes, Docker.
  • Experience in scripting language: Bash, PowerShell etc.
  • Experience in DevOps: Jenkins/Tekton etc.
  • Experience with Infrastructure as code: Terraform etc.

Experience Preferred:

  • Experience and good understanding of Data processing / Machine Learning / Deep Learning Models / Natural Language Processing.

Education Required:

  • A Bachelor’s degree in Computer Science / Computer Engineering or similar technical discipline.

Find a purpose

Help clients embrace emerging technologies. Create inventive solutions and meet intriguing client challenges. Solve, fix, design and innovate. Be a part of something bigger by helping clients go digital, create engaging customer experiences and transform their business.

Move ahead

Our success as a company is built on practicing inclusion and embracing diversity. HTC Global Services is committed to providing a work environment free from discrimination and harassment, where all employees are treated with respect and dignity. Together we work to create and maintain an environment where everyone feels valued, included, and respected. At HTC Global Services, our differences are embraced and celebrated. HTC is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.

HTC is proud to be recognized as a National Minority Supplier and an equal opportunity employer of protected veterans.

About HTC Global Services

Shaping careers since 1990 - our long tenured employees are a testimony of the work culture. Join our global employee base of 12,000 and help us bring human expertise to tech in order to deliver purposeful solutions that amplify value.

Company Info.

HTC Global Services

HTC Global Services Inc., founded in 1990, headquartered in Troy, Michigan, is a global provider of Information Technology and Business Process Services and Solutions. Our expertise in consulting, design, engineering, and operations helps us to provide innovative technology services, positioning us as a technology partner of choice.

  • Industry
    Information Technology
  • No. of Employees
    11,005
  • Location
    Troy, MI, USA
  • Website
  • Jobs Posted

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