Associate Architect - UI/UX, Testing-Data Science-Gen AI Engineer

EXL

7 - 12 years

9 - 14 Lacs

noida

Posted:2 days ago| Platform:

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Skills Required

computer science data science machine learning integration testing cloud programming healthcare life sciences research python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Roles and Responsibilities:

Experience in implementation of ML/AI solutions for enterprise level on Azure/AWS cloud
Communicate effectively with clients on brainstorming the solutions
Conduct research and development majorly on AI/ML implementations
Implement RAG architecture for confidential data use case
Apply deep learning techniques and machine learning experience
Develop and implement generative AI models using state-of-the-art techniques and frameworks
Collaborate with cross-functional teams to understand project requirements and design solutions that address business needs
Research and experiment with new AI algorithms, architectures, and tools to improve model performance and capabilities
Stay updated with the latest advancements in AI research and technology and contribute to the knowledge sharing within the team
Participate in code reviews, documentation, and knowledge transfer sessions to ensure high-quality deliverables and effective collaboration
Good to have - experience in healthcare and life sciences to relevant projects
Hands-on with GenAI and Machine Learning experience

Qualifications:

Bachelors or Masters degree in Computer Science, Engineering, or related field
7 years of experience in implementing ML/AI solutions for enterprise level on Azure/AWS cloud
Strong programming skills in languages such as Python, with experience in data science
Proficiency in generative AI techniques, including GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and related architectures
Good understanding of machine learning concepts, algorithms, and methodologies
Experience with data preprocessing, model training, and evaluation using large-scale datasets
Excellent problem-solving skills and the ability to work independently as well as part of a team

Bachelors or Masters degree in Computer Science, Engineering, or related field
7 years of experience in implementing ML/AI solutions for enterprise level on Azure/AWS cloud
Strong programming skills in languages such as Python, with experience in data science
Proficiency in generative AI techniques, including GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and related architectures
Good understanding of machine learning concepts, algorithms, and methodologies
Experience with data preprocessing, model training, and evaluation using large-scale datasets
Excellent problem-solving skills and the ability to work independently as well as part of a team

Roles and Responsibilities:

Experience in implementation of ML/AI solutions for enterprise level on Azure/AWS cloud
Communicate effectively with clients on brainstorming the solutions
Conduct research and development majorly on AI/ML implementations
Implement RAG architecture for confidential data use case
Apply deep learning techniques and machine learning experience
Develop and implement generative AI models using state-of-the-art techniques and frameworks
Collaborate with cross-functional teams to understand project requirements and design solutions that address business needs
Research and experiment with new AI algorithms, architectures, and tools to improve model performance and capabilities
Stay updated with the latest advancements in AI research and technology and contribute to the knowledge sharing within the team
Participate in code reviews, documentation, and knowledge transfer sessions to ensure high-quality deliverables and effective collaboration
Good to have - experience in healthcare and life sciences to relevant projects
Hands-on with GenAI and Machine Learning experience

Qualifications:

Bachelors or Masters degree in Computer Science, Engineering, or related field
7 years of experience in implementing ML/AI solutions for enterprise level on Azure/AWS cloud
Strong programming skills in languages such as Python, with experience in data science
Proficiency in generative AI techniques, including GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and related architectures
Good understanding of machine learning concepts, algorithms, and methodologies
Experience with data preprocessing, model training, and evaluation using large-scale datasets
Excellent problem-solving skills and the ability to work independently as well as part of a team

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