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# Software Engineer - Data, AI/ML & Analytics

- **Company:** It Services
- **Location:** United States (Remote available)
- **Experience:** Experienced
- **Salary:** $80,000.0 - $100,000.0
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, Cloud Computing, Continuous Integration, Data Cleansing, Distributed Computing Environment, High-Level Architecture, Python (Programming Language), Machine Learning, Tensorflow, Standard Sql, Feature Engineering, Pytorch, Large Language Models, Apache Spark, Deep Learning, Model Validation, Generative AI, Scikit Learn, Kubernetes, Machine Learning Operations, Data Pipelines, Docker, Databricks
- **Published:** June 21, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=932f0e4ff1dd485b

## About the Role

* 2+ years of experience in AI/ML Engineering.
 * Strong proficiency in Python.
 * Experience with TensorFlow, PyTorch, Scikit-learn, or similar ML frameworks.
 * Strong understanding of Machine Learning and Deep Learning concepts.
 * Experience with data preprocessing, feature engineering, and model evaluation.
 * Knowledge of SQL and database management.
 * Experience with cloud platforms such as AWS, Azure, or GCP.
 * Familiarity with MLOps, model deployment, and monitoring.
 * Strong analytical, problem-solving, and communication skills.

Preferred Skills

 * Experience with Generative AI, LLMs, RAG, AI Agents, or NLP.
 * Knowledge of Docker, Kubernetes, and CI/CD pipelines.
 * Experience with Databricks, Spark, or distributed computing frameworks.
 * Familiarity with Agile development methodologies.

Mandatory Requirements

 * Currently residing in the United States.
 * Valid authorization to work in the USA.
 * Available to work remotely in US business hours.

## Description

We are seeking an AI/ML Engineer with 2+ years of experience to design, develop, and deploy machine learning models and AI-powered solutions. The ideal candidate should have strong expertise in Python, Machine Learning, Deep Learning, and cloud technologies, with the ability to build scalable AI applications that solve real-world business challenges., * Design, develop, train, and deploy Machine Learning models and AI solutions.

 * Build and maintain scalable data pipelines for model training and inference.
 * Analyze large datasets and implement predictive analytics solutions.
 * Develop and optimize algorithms for performance and accuracy.
 * Collaborate with Data Engineers, Data Scientists, and business stakeholders.
 * Monitor, evaluate, and improve model performance in production environments.
 * Implement best practices for model testing, validation, and deployment.
 * Document technical processes, workflows, and model architectures.
 * Stay current with emerging AI, Machine Learning, and Generative AI technologies.


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