Wipro
AI ML Developer
Wipro, Tampa, Florida, us, 33646
Here we grow again with new opportunities!
Wipro is seeking individuals who combine excellent customer service and problem-solving skills with the ability to function effectively both as part of a team or on an individual basis to bring their talent to our team.
Wipro is a leading global IT Solutions and Services company with over 200,000 dedicated employees serving clients across more than 66 countries.
We offer a strong compensation package that includes competitive pay and day one benefits. Wipro also offers many opportunities for career advancement within our engaging and exciting culture.
100% Remote
USC and Green Card only
No relocation
Overview
We are looking for a talented AI/ML Developer with experience in developing, deploying, and fine-tuning machine learning models using Google Cloud Platform (GCP) tools like Vertex AI. This role involves working with state-of-the-art Large Language Models (LLMs), building and maintaining RAG (Retrieval-Augmented Generation) pipelines, and handling complex data preprocessing tasks. The ideal candidate has a strong foundation in machine learning and AI technologies, along with hands-on experience with cloud-based AI/ML platforms such as Vertex AI and AWS Bedrock. You will collaborate with cross-functional teams to build scalable, high-performance AI solutions that meet business requirements.
Key Responsibilities
Develop, deploy, and fine-tune
Large Language Models (LLMs)
on platforms like
Vertex AI
and
AWS Bedrock . Build, optimize, and maintain
RAG (Retrieval-Augmented Generation) pipelines
to support data-driven decision-making and enhance model accuracy. Perform complex data preprocessing, including cleaning, feature engineering, and transformation, to prepare data for ML pipelines. Design and implement scalable machine learning models for a variety of business applications, focusing on NLP and generative AI. Utilize
Vertex AI ,
AWS Bedrock , or similar cloud-based tools to manage the entire ML lifecycle, from model training to deployment. Collaborate with data engineers, data scientists, and software engineers to integrate AI/ML models into production systems. Conduct model evaluation, A/B testing, and continuous improvement through hyperparameter tuning and retraining. Monitor and manage deployed models to ensure their performance, scalability, and reliability over time. Document technical processes, model architecture, and key decisions for ongoing maintenance and knowledge sharing. Qualifications
Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field. 3+ years
of experience in AI/ML development, with hands-on experience in model training, deployment, and monitoring. Proficiency with
GCP tools
such as
Vertex AI
and familiarity with similar platforms like
AWS Bedrock
for model deployment and management. Experience in developing, fine-tuning, and deploying
Large Language Models (LLMs) . Strong understanding of
NLP ,
deep learning frameworks
(such as TensorFlow or PyTorch), and generative AI techniques. Solid grasp of
data preprocessing techniques
for structured and unstructured data. Proficiency in programming languages such as
Python
and experience with ML libraries like
scikit-learn ,
Hugging Face Transformers , and
TensorFlow . Skills
Experience with
RAG pipelines , including building custom retrieval mechanisms and integrating with LLMs. Knowledge of
model evaluation
techniques and experience in A/B testing for model validation. Familiarity with
cloud computing
concepts and experience in deploying AI/ML models in a cloud environment. Hands-on experience with
big data processing
tools, such as Apache Beam, Dataflow, or BigQuery. Ability to work with
APIs
to integrate AI models with external data sources and systems. Strong problem-solving skills and the ability to work independently and as part of a team. Excellent communication skills, with the ability to collaborate effectively with technical and non-technical stakeholders. Preferred Qualifications
Experience with
MLOps
practices, including model versioning, CI/CD for ML, and pipeline automation. Familiarity with
Google Cloud Storage ,
BigQuery , and other GCP services. Knowledge of
vector databases
and experience working with
semantic search Exposure to
data labeling
and
active learning
techniques for improving model performance. Experience in developing scalable AI/ML solutions for NLP tasks such as entity extraction, text summarization, and question answering
Wipro is seeking individuals who combine excellent customer service and problem-solving skills with the ability to function effectively both as part of a team or on an individual basis to bring their talent to our team.
Wipro is a leading global IT Solutions and Services company with over 200,000 dedicated employees serving clients across more than 66 countries.
We offer a strong compensation package that includes competitive pay and day one benefits. Wipro also offers many opportunities for career advancement within our engaging and exciting culture.
100% Remote
USC and Green Card only
No relocation
Overview
We are looking for a talented AI/ML Developer with experience in developing, deploying, and fine-tuning machine learning models using Google Cloud Platform (GCP) tools like Vertex AI. This role involves working with state-of-the-art Large Language Models (LLMs), building and maintaining RAG (Retrieval-Augmented Generation) pipelines, and handling complex data preprocessing tasks. The ideal candidate has a strong foundation in machine learning and AI technologies, along with hands-on experience with cloud-based AI/ML platforms such as Vertex AI and AWS Bedrock. You will collaborate with cross-functional teams to build scalable, high-performance AI solutions that meet business requirements.
Key Responsibilities
Develop, deploy, and fine-tune
Large Language Models (LLMs)
on platforms like
Vertex AI
and
AWS Bedrock . Build, optimize, and maintain
RAG (Retrieval-Augmented Generation) pipelines
to support data-driven decision-making and enhance model accuracy. Perform complex data preprocessing, including cleaning, feature engineering, and transformation, to prepare data for ML pipelines. Design and implement scalable machine learning models for a variety of business applications, focusing on NLP and generative AI. Utilize
Vertex AI ,
AWS Bedrock , or similar cloud-based tools to manage the entire ML lifecycle, from model training to deployment. Collaborate with data engineers, data scientists, and software engineers to integrate AI/ML models into production systems. Conduct model evaluation, A/B testing, and continuous improvement through hyperparameter tuning and retraining. Monitor and manage deployed models to ensure their performance, scalability, and reliability over time. Document technical processes, model architecture, and key decisions for ongoing maintenance and knowledge sharing. Qualifications
Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field. 3+ years
of experience in AI/ML development, with hands-on experience in model training, deployment, and monitoring. Proficiency with
GCP tools
such as
Vertex AI
and familiarity with similar platforms like
AWS Bedrock
for model deployment and management. Experience in developing, fine-tuning, and deploying
Large Language Models (LLMs) . Strong understanding of
NLP ,
deep learning frameworks
(such as TensorFlow or PyTorch), and generative AI techniques. Solid grasp of
data preprocessing techniques
for structured and unstructured data. Proficiency in programming languages such as
Python
and experience with ML libraries like
scikit-learn ,
Hugging Face Transformers , and
TensorFlow . Skills
Experience with
RAG pipelines , including building custom retrieval mechanisms and integrating with LLMs. Knowledge of
model evaluation
techniques and experience in A/B testing for model validation. Familiarity with
cloud computing
concepts and experience in deploying AI/ML models in a cloud environment. Hands-on experience with
big data processing
tools, such as Apache Beam, Dataflow, or BigQuery. Ability to work with
APIs
to integrate AI models with external data sources and systems. Strong problem-solving skills and the ability to work independently and as part of a team. Excellent communication skills, with the ability to collaborate effectively with technical and non-technical stakeholders. Preferred Qualifications
Experience with
MLOps
practices, including model versioning, CI/CD for ML, and pipeline automation. Familiarity with
Google Cloud Storage ,
BigQuery , and other GCP services. Knowledge of
vector databases
and experience working with
semantic search Exposure to
data labeling
and
active learning
techniques for improving model performance. Experience in developing scalable AI/ML solutions for NLP tasks such as entity extraction, text summarization, and question answering