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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