ML Scientist WGDT

Delhi - India

Monthly Salary: Not Disclosed

Experience Required: 0-01years

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

Key Responsibilities

Model Development:

Design build train and optimize machine learning and deep learning models for real-world applications.

Cross-Functional Collaboration:

Work closely with product managers data scientists and software engineers to define AI/ML use cases and deliver high-impact solutions.

LLM Fine-Tuning:

Evaluate and fine-tune pre-trained Large Language Models (LLMs) for domain-specific tasks and performance improvements.

Model Deployment:

Deploy models into production using APIs Docker containers and cloud platforms such as AWS GCP or Azure.

Research & Innovation:

Stay updated with the latest AI/ML advancements tools and best practices to drive continuous innovation within the team.

Preferred Qualifications

Bachelors or Masters degree in Computer Science Data Science AI or a related field.

Strong experience with machine learning frameworks (TensorFlow PyTorch scikit-learn).

Proficiency in Python and relevant libraries (NumPy Pandas Transformers etc.).

Experience deploying models in cloud environments.

Required Skills:

Key Responsibilities Model Development: Design build train and optimize machine learning and deep learning models for real-world applications. Cross-Functional Collaboration: Work closely with product managers data scientists and software engineers to define AI/ML use cases and deliver high-impact solutions. LLM Fine-Tuning: Evaluate and fine-tune pre-trained Large Language Models (LLMs) for domain-specific tasks and performance improvements. Model Deployment: Deploy models into production using APIs Docker containers and cloud platforms such as AWS GCP or Azure. Research & Innovation: Stay updated with the latest AI/ML advancements tools and best practices to drive continuous innovation within the team. Preferred Qualifications Bachelors or Masters degree in Computer Science Data Science AI or a related field. Strong experience with machine learning frameworks (TensorFlow PyTorch scikit-learn). Proficiency in Python and relevant libraries (NumPy Pandas Transformers etc.). Experience deploying models in cloud environments.

Required Education:

B. Tech

Key Responsibilities

Model Development:

Design build train and optimize machine learning and deep learning models for real-world applications.

Cross-Functional Collaboration:

Work closely with product managers data scientists and software engineers to define AI/ML use cases and deliver high-impact solutions.

LLM Fine-Tuning:

Evaluate and fine-tune pre-trained Large Language Models (LLMs) for domain-specific tasks and performance improvements.

Model Deployment:

Deploy models into production using APIs Docker containers and cloud platforms such as AWS GCP or Azure.

Research & Innovation:

Stay updated with the latest AI/ML advancements tools and best practices to drive continuous innovation within the team.

Preferred Qualifications

Bachelors or Masters degree in Computer Science Data Science AI or a related field.

Strong experience with machine learning frameworks (TensorFlow PyTorch scikit-learn).

Proficiency in Python and relevant libraries (NumPy Pandas Transformers etc.).

Experience deploying models in cloud environments.

Required Skills:

Required Education:

B. Tech

Company Industry

IT Services and IT Consulting

Key Skills

Laboratory Experience
Immunoassays
Machine Learning
Biochemistry
Assays
Research Experience
Spectroscopy
Research & Development
cGMP
Cell Culture
Molecular Biology
Data Analysis Skills

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About Company

Wadhwani Foundation

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