Staff ML Scientist

Bengaluru - India

Monthly Salary: Not Disclosed

Posted on: 5 hours ago

Vacancies: 1 Vacancy

Job Summary

Essential Functions:

Proficient in exploratory data analysis (EDA) using Pythons scientific libraries including NumPy Pandas Matplotlib Seaborn and scikitlearn.
Strong development experience in Python.
Handson experience building training testing validating and productizing machine learning models for highperformance use cases.
Solid understanding of core machine learning concepts including feature engineering model evaluation and optimization.
Experience implementing MLOps best practices including model versioning monitoring and CI/CD pipelines for ML models.
Handson experience with AWS SageMaker for building training tuning and deploying ML models.
Handson experience with to AWS services for machine learning workloads such as S3 EC2 ECR EKS Lambda CloudWatch.
Strong understanding of model explainability frameworks such as SHAP and the ability to interpret and explain model behavior.
Experience debugging and analyzing false positive and false negative cases including supporting client or production issues.
Handson experience and solid understanding of deep learning models with exposure to frameworks such as TensorFlow PyTorch or Keras.
Strong problemsolving skills with the ability to move beyond tasks and propose improved or alternative solutions.
Experience with ML lifecycle management and experimentation frameworks such as MLflow

This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

Qualifications :

Basic Skills

8 yrs. work experience with a Bachelors Degree or 6 years of work experience with a Masters or Advanced Degree in an analytical field such as computer science statistics finance economics or relevant area.
Proficient in Exploratory Data Analysis (EDA) using Pythons scientific libraries including NumPy Pandas Matplotlib Seaborn and scikitlearn.
Handson experience and solid understanding of deep learning models with exposure to frameworks such as TensorFlow PyTorch or Keras.

Additional Skills (Plus)

Exposure to model serving and inference engines such as TensorFlow Serving Triton Inference Server or similar technologies.
Experience building and maintaining Sparkbased data and feature pipelines to support ML training and inference workflows.
Familiarity with big data platforms and storage systems such as Hadoop EMR and NoSQL databases.

Additional Information :

Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race color religion sex national origin sexual orientation gender identity disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

Remote Work :

Employment Type :

Full-time

Essential Functions:Proficient in exploratory data analysis (EDA) using Pythons scientific libraries including NumPy Pandas Matplotlib Seaborn and scikitlearn.Strong development experience in Python.Handson experience building training testing validating and productizing machine learning models for ...

Essential Functions:

Proficient in exploratory data analysis (EDA) using Pythons scientific libraries including NumPy Pandas Matplotlib Seaborn and scikitlearn.
Strong development experience in Python.
Handson experience building training testing validating and productizing machine learning models for highperformance use cases.
Solid understanding of core machine learning concepts including feature engineering model evaluation and optimization.
Experience implementing MLOps best practices including model versioning monitoring and CI/CD pipelines for ML models.
Handson experience with AWS SageMaker for building training tuning and deploying ML models.
Handson experience with to AWS services for machine learning workloads such as S3 EC2 ECR EKS Lambda CloudWatch.
Strong understanding of model explainability frameworks such as SHAP and the ability to interpret and explain model behavior.
Experience debugging and analyzing false positive and false negative cases including supporting client or production issues.
Handson experience and solid understanding of deep learning models with exposure to frameworks such as TensorFlow PyTorch or Keras.
Strong problemsolving skills with the ability to move beyond tasks and propose improved or alternative solutions.
Experience with ML lifecycle management and experimentation frameworks such as MLflow

This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

Qualifications :

Basic Skills

8 yrs. work experience with a Bachelors Degree or 6 years of work experience with a Masters or Advanced Degree in an analytical field such as computer science statistics finance economics or relevant area.
Proficient in Exploratory Data Analysis (EDA) using Pythons scientific libraries including NumPy Pandas Matplotlib Seaborn and scikitlearn.
Handson experience and solid understanding of deep learning models with exposure to frameworks such as TensorFlow PyTorch or Keras.

Additional Skills (Plus)

Exposure to model serving and inference engines such as TensorFlow Serving Triton Inference Server or similar technologies.
Experience building and maintaining Sparkbased data and feature pipelines to support ML training and inference workflows.
Familiarity with big data platforms and storage systems such as Hadoop EMR and NoSQL databases.

Additional Information :

Remote Work :

Employment Type :

Full-time

Key Skills

Laboratory Experience
Bioinformatics
Biochemistry
Utility Locating
Assays
Research Experience
Next Generation Sequencing
Sensors
Signal Processing
Matlab
Research & Development
Molecular Biology

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About Company

Visa

Visa (NYSE: V) is a world leader in digital payments, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories. Our purpose is to uplift everyone, everywhere by being the best way to pay and b ... View more

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