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Artificial Intelligence Specialist

10 years

0 Lacs

Posted:4 days ago| Platform: Linkedin logo

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Job Type

Full Time

Job Description

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Executive Summary:

visionary and deeply experienced Artificial Intelligence Specialist

architect the AI backbone


Core Responsibilities:

  • Architect and develop

    mission-critical AI models

    across domains: predictive analytics, generative AI, NLP, computer vision, and autonomous decision systems.
  • Lead AI research-to-production workflows—from experimental design, data strategy, and model optimization to real-world deployment at scale.
  • Design and refine

    advanced neural architectures

    , including transformers, LLMs, graph neural networks, and reinforcement learning agents.
  • Spearhead

    multi-modal AI solutions

    integrating vision, voice, text, and time-series data streams.
  • Collaborate with engineering, product, and C-suite teams to

    translate strategic business objectives

    into deployable AI solutions with measurable ROI.
  • Guide

    data governance, ethical AI practices

    , explainability, compliance, and AI fairness protocols.
  • Mentor a team of data scientists and machine learning engineers to deliver high-impact, production-ready AI pipelines.
  • Continuously evaluate emerging AI tools, frameworks, and hardware acceleration techniques to maintain

    technological leadership

    .
  • Represent the organization at

    AI conferences, forums, and research partnerships

    .


Required Expertise:

  • 10+ years

    of deep, hands-on experience in Artificial Intelligence, Machine Learning, and Applied Data Science.
  • Master's or Ph.D. in

    AI/ML, Computer Science, Mathematics, Physics, or a related field

    (Ph.D. strongly preferred).
  • Expertise in

    Python

    , along with frameworks such as

    PyTorch, TensorFlow, Hugging Face Transformers, ONNX, Scikit-learn

    .
  • Demonstrated experience building and deploying

    LLMs, GANs, CNNs, RNNs, RL agents

    , and large-scale vector search systems.
  • Deep knowledge of

    data engineering pipelines, model lifecycle management, and distributed computing

    .
  • Advanced proficiency with

    MLOps, CI/CD for ML

    , containerization (Docker, Kubernetes), and versioned model deployment tools (MLflow, Kubeflow).
  • Solid grounding in

    probability, statistics, optimization

    , and algorithmic design.
  • Experience deploying AI on

    cloud infrastructure

    (AWS, GCP, Azure) and leveraging GPU/TPU environments.


Preferred Edge (Not Mandatory but Advantageous):

  • Experience working with

    Autonomous Systems, AI OS, Digital Twins

    , or

    AI-powered Operating Systems

    .
  • Prior contributions to

    open-source AI libraries

    , patents, or published research in Tier-1 conferences (NeurIPS, ICML, CVPR, ACL).
  • Domain specialization in

    healthcare AI, fintech AI, smart cities, or autonomous governance platforms

    .
  • Hands-on experience with

    AI compliance frameworks (GDPR, HIPAA, model interpretability, and ethical AI)

    .


What You’ll Get:

  • Leadership opportunity

    in building core AI infrastructure for enterprise-scale and city-scale platforms.
  • Access to

    state-of-the-art infrastructure

    , including AI supercomputing environments and high-volume data systems.
  • Competitive salary package with

    equity options

    , bonuses, and leadership growth.
  • Opportunity to shape the

    AI strategy of high-impact products

    reaching millions globally.
  • Work culture that fosters

    innovation, autonomy, and research-driven engineering

    .


Application & Interview Process:

Please submit:

  • Updated CV with detailed project accomplishments
  • GitHub / Research portfolio


Shortlisted candidates will be invited for:

  • A

    technical deep-dive session

  • Strategic AI system design challenge

  • Panel interview with leadership and R&D teams



This Role is Built For:

  • AI pioneers who don’t just build models — they

    architect future intelligence ecosystems

    . If you live at the intersection of mathematics, machine learning, systems design, and innovation, we invite you to define the next generation of AI with us.

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