Talent.com
This job offer is not available in your country.
MLOPs Engineer

MLOPs Engineer

Intuitive.CloudDavanagere, IN
22 days ago
Job description

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

  • Data (Cloud Native / DataBricks / Snowflake)
  • Machine Learning, AI / GenAI

    • Cybersecurity

  • Infrastructure Security
  • Application Security
  • Data Security
  • AI / Model Security

    • SDx & Digital Workspace (M365, G-suite)

  • SDDC, SD-WAN, SDN, NetSec, Wireless / Mobility
  • Email, Collaboration, Directory Services, Shared Files Services

    • Intuitive Services :

  • Professional and Advisory Services
  • Elastic Engineering Services
  • Managed Services
  • Talent Acquisition & Platform Resell 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 :

  • Be very strong at feature engineering
  • Strong understanding of Cloud Systems, and their ML options, particularly Azure.
  • Familiar with CI / CD pipelines, particularly Azure Pipelines.
  • Able to combine and coordinate Cloud Services, Data Services and Compute Services into robust systems.
  • Able to clearly communicate to SMEs, DS and other stake holders options and trade-offs in taking models and simulations to production that are both compute and data intensive.
  • Python experience is also required . Python will be used for automating & scaling modeling workflows, pre / post-processing, and for customizing processing intensive pipelines .

    • 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.

  • Advanced Degree (MSc, PhD) in Computer Science.
  • Some familiarity with Azure Machine Learning.

    • 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 :

  • AI / ML breadth and depth including : EDA, model training / retraining, model evaluation & interpretation.
  • Strong familiarity with best practices for ML, including : Regression, Tree, Deep Neural Network
  • Engagement with emerging best practices for LLM & Generative AI models
    • Create a job alert for this search

    Mlops Engineer • Davanagere, IN