ML Platform Deployment Engineer

1 Month ago • 4 Years + • Devops

Job Summary

Job Description

Neural Concept is seeking a Customer Deployment Engineer to lead and oversee the technical onboarding and integration of their platform. This role involves deploying the company's software as a SaaS solution on customer cloud infrastructure (AWS, Azure, GCP) or on-premise (HPC, VM). The engineer will be responsible for designing and implementing deployment architectures, assessing customer needs, and tailoring scalable solutions using Kubernetes and Docker. They will act as a technical point of contact, manage security and compliance questionnaires, and collaborate with internal teams to enhance deployment processes. The role also includes creating documentation and implementation guides, with occasional travel to customer sites.
Must have:
  • 4+ years deploying enterprise software in cloud/HPC environments
  • Strong Kubernetes, Docker, or Singularity experience
  • Customer-facing experience for deployment and maintenance
  • Proficient with AWS, Azure, or GCP
  • Knowledge of Terraform, OAuth2, SAML, Slurm, PBS
  • Familiarity with Prometheus and Grafana
  • Proactive communicator and strategic thinker
Good to have:
  • Advanced degree in Computer Science or Engineering
  • Experience with monitoring tools
Perks:
  • Competitive salary
  • Work with a world-class technology team
  • Global exposure
  • Ongoing training
  • Supportive work environment
  • Hybrid work options
  • Flexible schedules

Job Details

About Neural Concept 

We build technology that enables engineers to solve complex design challenges faster and more effectively. Our platform leverages 3D deep learning to transform CAE data into real-world results, helping top companies in automotive, aerospace, and energy streamline their R&D. 

The Role 

We’re looking for a Customer Deployment Engineer to lead and oversee the technical onboarding and integration of our platform in enterprise environments. You’ll play a pivotal role in deploying our software as a SaaS solution on customer cloud infrastructure (AWS, Azure, GCP) or on-premise (HPC, VM). Your work directly contributes to customer satisfaction and long-term platform adoption.

This is a highly customer-facing role. We value engineers who are not only technically capable but also excellent communicators, proactive problem-solvers, and trusted advisors to our customers.

If you're passionate about delivering seamless technical solutions and making a real impact, we'd love to hear from you — apply now!

What You Will Do 

  • Lead Deployments: Design and implement robust deployment architectures that align with customer IT environments and business goals.

  • Architect Solutions: Assess customer needs and tailor scalable cloud/hybrid/on-premise deployments using Kubernetes, Docker, and cloud-native tooling.

  • Customer Engagement: Act as a technical point of contact for customers throughout the deployment process, from architecture to troubleshooting.

  • Security & Compliance: Own the process of responding to IT and security questionnaires. Ensure compliance with enterprise security and privacy requirements.

  • Collaboration & Feedback: Work closely with internal teams (product, R&D, platform) to continuously improve deployment processes and modularity.

  • Documentation & Enablement: Produce high-quality documentation, implementation guides, and internal playbooks.

Who You Are 

  • Education: Advanced degree in Computer Science, Engineering, or a related field (or equivalent experience).

  • Experience: at least 4 years of hands-on experience deploying enterprise software in cloud and/or HPC environments.

  • Mandatory Technical Skills: Strong background in Kubernetes, Docker, and/or Singularity, with production experience.

  • Customer-facing Skills: Experience working directly with customers to scope, deploy, and maintain infrastructure.

  • Cloud Platforms: Proficient with AWS, Azure, or GCP, including security and networking fundamentals.

  • Tools: Familiar with Terraform, OAuth2, SAML, Slurm, PBS, and monitoring tools like Prometheus and Grafana.

  • Mindset: A proactive communicator and strategic thinker who thrives in dynamic, interdisciplinary teams.

What We Offer  


  • A competitive salary - we are growing fast and want our employees to benefit from this growth. 

  • Work with a world-class technology team - our engineers are top-notch! 

  • Global Exposure – You will work with leading companies and researchers worldwide

  • Ongoing training in technologies

  • Work with people who care about you - we support each other and care about you so that you can thrive. 

  • Hybrid work options and flexible schedules to support work-life balance.

Important Information 

Start Date: ASAP 

Location: Jersey City (hybrid)

Travel: Occasional travel to customer sites 

Eligibility: Only US citizens and green card holders will be considered for this role.

How to apply

Before you send over your CV, just take a minute to fill out our mandatory technical evaluation form.
It helps us get a better idea of your skills. We will only consider candidates who submitted the form. 

#LI-OS1

 

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About The Company

Neural Concept is a rapidly growing company at the forefront of revolutionizing product design and simulation through advanced data science and machine learning. Specializing in optimizing ...

Jersey City, New Jersey, United States (Hybrid)

New York, United States (Hybrid)

Pune, Maharashtra, India (Hybrid)

Lausanne, Vaud, Switzerland (Hybrid)

Lausanne, Vaud, Switzerland (Hybrid)

Jersey City, New Jersey, United States (Hybrid)

Jersey City, New Jersey, United States (Hybrid)

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