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    Architect - AI Architect - Mumbai, India - NEC

    NEC
    NEC Mumbai, India

    6 hours ago

    Default job background
    Full time
    Description
    Job Description

    Job Summary:
    We are seeking a hands-on AI Architect to join our AI Tech Team.

    The candidate will be responsible for spearheading the design and development of AI solutions within the Cloud frameworks, with a focus on Google Cloud Platform (GCP).

    This role is crucial to our goal of providing cutting-edge AI solutions that deliver substantial benefits to the scientific community.


    Key Responsibilities:

    • Lead the design, development, and implementation of AI solutions in the GCP Cloud environment (AWS is a plus).
    • Lead AI problem framing, exploratory data analysis, data preprocessing, model training and tuning, and model serving.
    • Develop the AI solution prototyping.
    • Design and develop MLOps and oversee the implementation.
    • Design and develop AI model serving solutions and oversee the implementation.
    • Contribute to key projects, including manuscript analysis, editor recommendation systems, publication recommendation, quality checks in line with client standards, topic analysis, etc.
    • Utilize advanced NLP technologies, open source LLMs (BERT, Llama, or the likes), and cloud[1]native AI technologies for text learning and topic learning.
    • Work with a diverse tech stack, including Cloud-native AI, NLP, Python programming, TensorFlow, TFX, Kubeflow, PyTorch, Scikit-learn, BERT, AI embedding techniques, model tunning techniques, model validation techniques, feature engineering technologies, data engineering, etc.
    • Mentor junior developers

    Qualifications:

    • 10+ year hand-on experience of building AI/ML solutions.
    • Proven experience in AI development and cloud-native AI solution in GCP Cloud (AWS is a plus).
    • Proficiency in ML practice and MLOps, including ML pipeline, AI embedding, model tunning, model validation, data validation, feature engineering, data engineering, model monitoring and ML automation.
    • Proficiency in TensorFlow, TFX, Kubeflow, PyTorch, Scikit-learn, BERT, LLMs, etc,
    • Proficiency in Topic Modelling, NLP and open source LLMs.
    • Experience in rapid prototyping and presenting AI solution design.
    • Experience in creating AI explanation, feature-based and example-based.
    '

    • Experience in turning research and concept into business products, working with business stakeholders to develop products that work at scale.
    • Ability to work collaboratively in a dynamic team environment.
    • Understand modern software engineering best practices, TDD, BDD, CI/CD, automation, etc.
    • General architecture of Cloud infrastructure is a plus.
    • Bachelor's degree in computer science, Information Technology, or related field. Advanced or professional certifications in Cloud are advantageous.

    What We Offer:

    • A challenging and rewarding role in a leading scientific organization.
    • Opportunity to work on groundbreaking AI projects with a global impact.
    • Competitive compensation.
    • A supportive environment fostering
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