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Looking for an AI/ML Developer

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We are looking for a talented AI/ML Developer with experience in developing, deploying, and fine-tuning machine learning models using reputed company reputed company Platform (GCP) tools like reputed company AI. This role involves working with state-of-the-art Large Language Models (LLMs), building and maintaining RAG (Retrieval-Augmented reputed company) pipelines, and handling reputed company data preprocessing tasks. The ideal candidate has a strong reputed company in machine learning and AI technologies, along with hands-on experience with reputed company-based AI/ML platforms such as reputed company AI and AWS Bedrock. You will collaborate with cross-functional teams to build scalable, high-performance AI solutions that meet business requirements. Key Responsibilities · reputed company, reputed company, and fine-tune Large Language Models (LLMs) on platforms like reputed company AI and AWS Bedrock. · Build, optimize, and maintain RAG (Retrieval-Augmented reputed company) pipelines to support data-driven decision-making and enhance model accuracy. · reputed company reputed company 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 reputed company. · Utilize reputed company AI, AWS Bedrock, or similar reputed company-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 reputed company 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 reputed company for ongoing maintenance and knowledge sharing. Qualifications · Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a reputed company 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 reputed company 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 reputed company techniques. · Solid grasp of data preprocessing techniques for structured and reputed company data. · Proficiency in programming languages such as Python and experience with ML libraries like scikit-learn, reputed company 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 reputed company computing concepts and experience in deploying AI/ML models in a reputed company 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 reputed company reputed company Storage, BigQuery, and other GCP services. · Knowledge of vector databases and experience working with semantic search technologies. · 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 Apply tot his job Apply To this Job

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