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Urgent! Software Engineer II,ITC Job Opening In India, India – Now Hiring NIKE

Software Engineer II,ITC



Job description

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WHO
YOU’LL WORK WITH

You’ll be joining a
dynamic, fast-paced Global FPE (Foundational Platforms Engineering)
team within Nike.

Our mission is to build and scale world-class
cloud-native platforms, enabling Nike’s data-driven decision-making
and intelligent automation capabilities.

This
role sits right into AI-driven innovation helping to drive
cutting-edge advancements in both analytics and intelligent
automation.

Collaboration and creativity are at our core, and we
are passionate about leveraging cloud-scale data platforms and
AI-powered automation to transform business
operations.

WHO
WE ARE LOOKING FOR

We are seeking a
Software Engineer II who brings deep expertise in Databricks, AWS
Services, Cloud Platforms, and AI-driven automation.

You are
someone who thrives in building scalable, high-performance data
platforms to improve efficiency, insights, and user
experience.

Key Skills &
Traits:

  • 2+ years of
    production experience in AI/ML model development, deployment, and
    maintenance

  • Proven expertise
    with Large Language Models (LLMs) and NLP
    tasks

  • Strong background in
    data science and cloud-based AI/ML services (Databricks
    preferred)

  • Expertise in
    MLOps/LLMOps for scalable model deployment and
    management

  • Advanced
    programming skills in Python, SQL, and automation
    frameworks

  • Worked in Cloud
    Platforms:
    Databricks(AI-ML)

  • MLOps/LLMOps
    and MLFlow

  • Passion for
    leveraging AI to enhance automation, efficiency, and
    analytics

  • Strong
    collaboration, problem-solving, and leadership skills, with the
    ability to drive initiatives across multiple
    team

Good to have
:

  • Data Processing: Pandas,
    NumPy, Spark.

  • DevOps:
    Docker, Kubernetes,DVC(Data Version control)/model monitoring and
    versioning.

WHAT
YOU’LL WORK ON

As a Software Engineer
II, you will play a crucial role in shaping, modernizing, and
scaling by helping driving AI adoption and
automation.

Core AI/ML engineer
Responsibilities:

  • Develop
    end-to-end ML pipelines with focus on production
    reliability.

  • Implement
    robust testing and validation frameworks for ML
    models.

  • Establish best
    practices for model versioning and
    reproducibility.

  • Build and
    optimize production-grade ML
    models .

  • Develop custom
    NLP solutions for text analysis and
    processing.

  • Create automated
    model evaluation and optimization
    pipelines.

  • Manage ML
    infrastructure on Databricks cloud
    platform.

  • Ensure scalability
    and cost optimization of ML
    deployments.

  • Maintain data
    quality and pipeline
    efficiency.

  • Maintain
    security and compliance implementations for ML
    systems.

  • Evangelize AI
    adoption, helping Nike teams unlock new automation
    opportunities.


Required Skill Profession

Computer Occupations



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