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# Senior DevOps / Cloud / SRE Engineer, Senior AI / Machine Learning Engineer, Senior Data Engineer

- **Company:** Tal Solutions LLC
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $126,406.0 - $152,231.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Computer Vision, Microsoft Azure, BigQuery, Cloud Computing, Continuous Integration, Information Engineering, Extract Transform Load (ETL), Data Warehousing, Linux, DevOps, Python (Programming Language), Machine Learning, Natural Language Processing, Scrum Methodology, Tensorflow, Azure Machine Learning, SQL Databases, Google Cloud, Pytorch, Large Language Models, Snowflake, Apache Spark, Generative AI, Data Lakes, Scikit Learn, Kubernetes, Infrastructure Automation Frameworks, Apache Kafka, Machine Learning Operations, Terraform, Devsecops, Docker, Amazon Redshift, Databricks
- **Published:** September 10, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=037a42c0ea26c495

## About the Role

* Senior-level professional experience is preferred
 * Strong experience in at least one listed technical area
 * Ability to discuss technical decisions clearly
 * Experience working with distributed or client-facing teams
 * Strong written and verbal communication
 * Reliable availability for required meetings and working hours
 * Ability to work independently and meet project commitments
 * Willingness to represent professional experience accurately and personally complete all interviews

Relevant technologies may include:

DevOps/Cloud/SRE: AWS, Azure, GCP, Kubernetes, Docker, Terraform, CI/CD, Linux, monitoring, infrastructure automation and DevSecOps.

AI/ML: Python, PyTorch, TensorFlow, scikit-learn, generative AI, LLMs, NLP, computer vision, MLOps, model deployment and cloud ML platforms.

Data Engineering: Python, SQL, Spark, Databricks, Snowflake, BigQuery, Redshift, Airflow, Kafka, ETL/ELT, data lakes and data warehouses., * Years of relevant experience

 * Current availability
 * A short pre-interview video introducing yourself, describing your technical background and explaining one recent project

The pre-interview video is required before an applicant can qualify as a candidate. Candidates must personally participate in every stage of the interview process.

#Hiring #DevOps #CloudEngineering #SRE #MachineLearning #ArtificialIntelligence #MLOps #DataEngineering #AWS #Azure #GCP #Kubernetes #Python #SQL #TechJobs #RemoteJobs

## Description

* Senior AI / Machine Learning Engineer
 * Senior Data Engineer

What a Typical Day May Include:

 * Attending daily standups, sprint planning and client meetings
 * Discussing project requirements and technical solutions
 * Clarifying priorities with clients and engineering teams
 * Providing accurate progress updates
 * Coordinating technical implementation and project delivery
 * Completing assigned engineering work
 * Following security, confidentiality and compliance requirements


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