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high paying data science jobs in Mangalore, Karnataka

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    • Strong understanding of statistical methods, ML algorithms, and deep learning architectures.
    • Must be proficient in Python and have experience with machine…
    • View all NTT Ltd jobs - Mangalore, Karnataka jobs - Data Scientist jobs in Mangalore, Karnataka
    • Salary Search: Expert - Azure Data Scientist salaries in Mangalore, Karnataka
    • See popular questions & answers about NTT Ltd
    • On successful completion of training, candidates are absorbed into the Company and paid handsome salary & benefits.
    • Bachelor's in computer science and engineering or related discipline.
    • Engage with product/business teams to understand high-level requirements and translate…
    • We are hiring 2 experienced trainers for an offline training program on Core Java and Advanced Data Structures using Java, at a college near Mangalore.
    • Bachelor's in computer science and engineering or related discipline.
    • Engage with product/business teams to understand high-level requirements and translate…
    • Gather customer requirements directly from prospects and paying issuers.
    • Partner with Product Manager on issuer onboarding and data ingestion.
    • We are hiring 2 experienced trainers to conduct offline training on Core Java and Advanced Data Structures for a college near Mangalore.
    • Knowledge of data pipelines (Airflow, Prefect, Dagster).
    • UniCourt is a legal technology company focused on using technology to unlock the potential of legal…

Job Post Details

NTT Ltd logo

Expert - Azure Data Scientist - job post

NTT Ltd
3.5 out of 5 stars
Mangalore, Karnataka
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Location

Mangalore, Karnataka

Full job description

Niveus Solutions, an award-winning cloud engineering services organization & Google Cloud Partner, empowers enterprises to harness the power of cloud services and build resilient infrastructures that scale.

Niveus specializes in application, infrastructure, & data modernization, data management, cloud consulting, security, & managed services.

Job Description:
Strong understanding of statistical methods, ML algorithms, and deep learning architectures.

Must be proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras.

Must be familiar with cloud-based platforms and services, such as AWS, GCP, or Azure.

Need to have experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face.

Knowledge of model interpretability and fairness frameworks (SHAP, LIME, Fairlearn) and responsible AI principles.
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