Attention prospective job seekers! Beware of fraudulent offers Read more

Python AI ML Developer

Chennai, Tamil Nadu, India
Apply
Python AI ML Developer - CREQ190778
Description

Job Description:

Expertise in ETL tools, technologies, and processes.
Expertise in Big Data Tools and databases
Programming languages Python, Java FSD and Scala
Strong experience of machine learning concepts, including algorithms, and statistics.
Knowledge of common machine learning techniques, such as Naive Bayes classifiers, conditional probability.

Developing solution using Large Language models for generating new content, Summarization, Classification and Open-Domain Q+A use cases.
Candidate is expected to have minimum 5 years of experience on the below areas
Building data pipeline to extract information from unstructured documents using NLP , LLM and Computer Vision. Good knowledge in LLM fine tuning techniques and building RAG architecture pattern.
Developing probabilistic and predictive AI models for data classification and retrieval problems.
Buildings tools for evaluating the performance of the models and engage retraining if required.
Using open source pre-training models for classification/ computer vision / NLP tasks.


Large Language Models (LLM): Experience with developing solutions using large language models for generating new content, summarization, classification, and open-domain Q+A use cases.
Natural Language Processing (NLP): Proficiency in building data pipelines to extract information from unstructured documents using NLP and LLM.
Computer Vision: Knowledge of computer vision techniques to process and analyze images or videos.
LLM Fine-Tuning Techniques: Good understanding of fine-tuning techniques for large language models.
RAG Architecture Pattern: Experience with building systems using the Retrieval-Augmented Generation (RAG) architecture pattern.
Probabilistic and Predictive AI Models: Ability to develop probabilistic and predictive AI models for data classification and retrieval problems.
Model Evaluation and Retraining: Skills in building tools for evaluating the performance of the models and engaging retraining if required.
Pre-training Models: Experience with using open-source pre-training models for classification, computer vision, and NLP tasks.
Primary Skill.
LLM Fine-Tuning
Prompt Engineering
Python
Secondary skill.
MangoDB

Primary Location
Chennai, Tamil Nadu, India
Job Type
Experienced
Primary Skills
Python
Years of Experience
5
Qualification

Job Description:

Expertise in ETL tools, technologies, and processes.
Expertise in Big Data Tools and databases
Programming languages Python, Java FSD and Scala
Strong experience of machine learning concepts, including algorithms, and statistics.
Knowledge of common machine learning techniques, such as Naive Bayes classifiers, conditional probability.

Developing solution using Large Language models for generating new content, Summarization, Classification and Open-Domain Q+A use cases.
Candidate is expected to have minimum 5 years of experience on the below areas
Building data pipeline to extract information from unstructured documents using NLP , LLM and Computer Vision. Good knowledge in LLM fine tuning techniques and building RAG architecture pattern.
Developing probabilistic and predictive AI models for data classification and retrieval problems.
Buildings tools for evaluating the performance of the models and engage retraining if required.
Using open source pre-training models for classification/ computer vision / NLP tasks.


Large Language Models (LLM): Experience with developing solutions using large language models for generating new content, summarization, classification, and open-domain Q+A use cases.
Natural Language Processing (NLP): Proficiency in building data pipelines to extract information from unstructured documents using NLP and LLM.
Computer Vision: Knowledge of computer vision techniques to process and analyze images or videos.
LLM Fine-Tuning Techniques: Good understanding of fine-tuning techniques for large language models.
RAG Architecture Pattern: Experience with building systems using the Retrieval-Augmented Generation (RAG) architecture pattern.
Probabilistic and Predictive AI Models: Ability to develop probabilistic and predictive AI models for data classification and retrieval problems.
Model Evaluation and Retraining: Skills in building tools for evaluating the performance of the models and engaging retraining if required.
Pre-training Models: Experience with using open-source pre-training models for classification, computer vision, and NLP tasks.
Primary Skill.
LLM Fine-Tuning
Prompt Engineering
Python
Secondary skill.
MangoDB

Travel
No
Job Posting
15/08/2024

Join Virtusa

 

Please enter a valid email address to begin your application.

Thank you for verifying your email. Please proceed with the steps below to apply.

We only accept the following file extensions: .pdf, .docx or .doc
Maximum file size: 1 MB
File name must not include special characters or spaces (e.g. “name_resume.pdf”)

Please attach your CV/Resume, ensure it is in the correct format and smaller than 1MB.
We only accept the following file extensions:

Thank you. You already have an active account with Virtusa's hiring system. Please login to our portal to proceed with your application or apply for more opportunities.

LoginClick to Login

About Virtusa

Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 30,000 people globally that cares about your growth — one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us.

Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence.

Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

Learn more