AI ML Data science Gen AI

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Mizuho

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Job Summary


Job Type
-

Seniority

Years of Experience
Information not provided

Tech Stacks
Python SQL Azure NumPy Keras PyTorch Pandas Docker Rest API AWS TensorFlow Strategy

Job Description

Job description

Mizuho Global Services Pvt Ltd (MGS) is a subsidiary company of Mizuho Bank, Ltd, which is one of the largest banks or so-called Mega Banks of Japan. MGS was established in the year 2020 as part of Mizuho long-term strategy of creating a captive global processing center for remotely handling banking and IT related operations of Mizuho Banks domestic and overseas offices and Mizuho group companies across the globe.

At Mizuho we are committed to a culture that is driven by ethical values and supports diversity in all its forms for its talent pool. Direction of MGSs development is paved by its three key pillars, which are Mutual Respect, Discipline and Transparency, which are set as the baseline of every process and operation carried out at MGS.


Whats in it for you?

  • Immense exposure and learning
  • Excellent career growth
  • Company of highly passionate leaders and mentors
  • Ability to build things from scratch


Know more about MGS: https://www.mizuhogroup.com/asia-pacific/mizuho-global-services


Position Objective

This position is responsible for --

Design, develop, and deploy machine learning and AI models

Build end-to-end data science pipelines

Develop and optimize predictive, classification, recommendation, or NLP models

Collaborate with managers and stakeholders

Perform model evaluation, tuning, and monitoring in production environments

Communicate findings and insights clearly

Stay updated with the latest advancements in AI/ML research and tool


Knowledge and Skills -

4 - 7 years of hands-on experience in Data Science, Machine Learning, or AI

Strong proficiency in Python (NumPy, Pandas, Scikit-learn)

Experience with ML frameworks such as TensorFlow, PyTorch, or Keras

Solid understanding of statistics, probability, and linear algebra

Experience with SQL and working with large-scale datasets

Knowledge of feature engineering, model selection, and hyperparameter tuning

Experience deploying models using REST APIs, Docker, or cloud platforms (AWS, GCP, Azure)

Strong problem-solving and analytical thinking skills.

Preferred / Nice-to-Have Skills

Experience with Deep Learning, NLP, Generative AI

Knowledge of LLMs and prompt engineering

Prior experience mentoring junior data scientists


Academics Graduate

Experience 5-12 Years experience


Interested candidates can share their updated resume on [email protected] along with the below details.

Current CTC (Fixed + Variable) :

Expected CTC :

Experience :

Notice period :

Reason for a job change :

Residential location Specify locality -


thanks!


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