MLOPs Engineer

About us :

Intuitive is an innovation-led engineering company delivering business outcomes for 100’s of Enterprises globally. With the reputation of being a Tiger Team & a Trusted Partner of enterprise technology leaders, we help solve the most complex Digital Transformation challenges across following Intuitive Superpowers :

Modernization & Migration

• Application & Database Modernization
• Platform Engineering (IaC / EaC, DevSecOps & SRE)
• Cloud Native Engineering, Migration to Cloud, VMware Exit
• FinOps

Data & AI / ML

Cybersecurity

SDx & Digital Workspace (M365, G-suite)

Intuitive Services :

About the job :

Title : Modelling & Simulation OPs

Start Date : Immediate

Position Type : Full-time Employment

Location : Remote across India

ABOUT THE ROLE :

The ideal candidate will be an experienced ML Engineer (MLE) or a MLOPs Engineer with in-depth knowledge of scaling computationally intensive modelling and simulation systems. Candidates must demonstrate expertise in developing Data and Feature engineering pipelines that are robust, scalable, and continuously deployable (CI / CD). They must be adept at collaborating with subject matter experts (SMEs) and Data Scientists (DS) as part of a multi-faceted team.

Core Skills :

The successful candidate will be able to work with DS & SME to scale complex analytical workflows used in multi model ML and simulation systems, while pragmatically optimizing around scalability, parallelization, issues of memory usage, storage, and latency, specifically :

Experience scaling modelling and simulation in the context of biomechanical systems is strongly preferred.

QUALIFICATIONS

Required :

5+ years of experience in Simulation & Modelling as an MLE or an MLOPs Engineer.

Nice to Have :

Advanced Degree (MSc, PhD) in Computer Science.

PREFERRED SKILLS & EXPERIENCE

In addition to deep familiarity with Python programming, we are looking for complementary experience in one or more of the following areas :