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# AI/ML Engineer

- **Company:** Delviom LLC
- **Location:** New York, NY, United States (Remote available)
- **Experience:** Expert
- **Salary:** $92,300.0 - $166,850.0
- **Contract:** Contract
- **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Microsoft Azure, Big Data, Business Software, Cloud Computing, Cloud Engineering, Code Review, Data Cleansing, Python (Programming Language), Machine Learning, Natural Language Processing, Tensorflow, Software Engineering, Enterprise Software Applications, Feature Engineering, Large Language Models, Deep Learning, Model Validation, Generative AI, Information Technology, Machine Learning Operations
- **Published:** August 30, 2026
- **Apply:** https://www.careerjet.com/jobad/useefa0980c6c75aa00ec2c9afa5a94e65

## About the Role

We are seeking a Senior AI/ML Engineer with 7+ years of experience to design, develop, deploy, and maintain machine learning and artificial intelligence solutions. The ideal candidate should have strong experience in Python, machine learning, deep learning, NLP, generative AI, and cloud platforms., Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field. 7+ years of professional experience in AI/ML engineering or related roles. Strong Python programming and machine learning experience. Experience deploying AI/ML models in production. Strong understanding of ML algorithms, deep learning, and MLOps. Experience with cloud-based AI/ML solutions. Strong analytical and problem-solving skills.
Additional Details:
Preferred Certifications: AWS Certified Machine Learning - Specialty, Google Professional Machine Learning Engineer, Microsoft Certified: Azure AI Engineer Associate, TensorFlow Developer Certification.
Preferred skills
AI,MLOps,Cloud Engineering,Software Engineering,Full Stack Development

## Description

Design and develop machine learning and AI models for business applications. Build, train, evaluate, and optimize ML and deep learning models. Develop AI/ML pipelines and deploy models into production environments. Work with large datasets for data preprocessing, feature engineering, and model validation. Develop NLP and Generative AI solutions using LLMs. Collaborate with data scientists, software engineers, product managers, and business teams. Monitor model performance and improve accuracy, scalability, and reliability. Develop APIs and integrate AI/ML models with enterprise applications. Participate in code reviews, technical design discussions, and Agile ceremonies.


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