GCP/ML Engineer

Sorry, this job was removed at 06:14 p.m. (CST) on Thursday, Aug 28, 2025
Addison, TX
In-Office
Artificial Intelligence • Big Data • Cloud • Energy
The Role

Responsibilities:
•    Develop machine learning models and algorithms to address business needs.
•    Collaborate with data scientists and software engineers to design and implement scalable and efficient solutions.
•    Clean, preprocess, and analyze large datasets to extract meaningful insights.
•    Deploy machine learning models into production environments and monitor their performance.
•    Continuously improve model accuracy and performance through experimentation and optimization.
•    Stay up-to-date with the latest advancements in machine learning and related technologies.
•    Communicate findings and results to stakeholders in a clear and concise manner.

Requirements:
•    Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or a related field.
•    2~5 years of experience in machine learning, data science, or a related field.
•    Proficiency in programming languages such as Python, Java, or Scala.
•    Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn.
•    Strong understanding of machine learning algorithms and techniques, including supervised and unsupervised learning, deep learning, and reinforcement learning.
•    Experience with cloud platforms such as Google Cloud Platform (GCP), including services like BigQuery, Cloud Storage, and AI Platform.
•    GCP Professional Machine Learning Engineer certification is required.
•    Experience with version control systems such as Git.
•    Excellent problem-solving skills and attention to detail.
•    Strong communication and collaboration skills.

Preferred Qualifications:
•    Master's degree or higher in Computer Science, Engineering, Mathematics, or a related field.
•    Experience with distributed computing frameworks such as Apache Spark.
•    Familiarity with containerization and orchestration technologies such as Docker and Kubernetes.
•    Experience with data visualization tools such as Matplotlib, Seaborn, or Tableau.
•    Experience with natural language processing (NLP) or computer vision (CV) techniques.
•    Experience with continuous integration and continuous deployment (CI/CD) pipelines.
•    Contributions to open-source projects or participation in relevant communities.
 

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The Company
HQ: Addison, TX
121 Employees
Year Founded: 2010

What We Do

RTS is a global technology company that helps modernize tomorrow’s enterprise today with world-class IT service, consulting, and digital transformation solutions. Partner with us to unleash your organization’s true potential
through digital transformation. www.resolvetech.com

Our service portfolio includes Solutions Consulting, IT Services, and Strategic Resourcing in the spaces of ERP Modernization, Managed Cloud Delivery Services, Digital Transformation, AI/ML and Data Analytics, Cyber Security and Digital Signature solutions.

As a trusted partner to Fortune 500 organizations in telecom, retail, real-estate, government, and aerospace & defense, we implement their strategic digital transformation initiatives for sustainable long-term results while also addressing their execution needs for accelerating their projects.

We are a #1 ranked SAP partner in the US for multiple years, which signifies our depth of expertise, breadth of our client engagements and our ability to leverage strong partnerships for client benefits.

We bring the best of SAP and public cloud experience in any cloud management and migration project. We manage over 4000+ SAP related workloads- one of the world’s largest footprints of SAP ERP in public cloud.

Our approach of solving the root causes of client’s business problems, providing the finest IT expertise, and delivering high-performance & high-quality solutions has made us the preferred IT partner for several global enterprises as well as SMEs.

At this juncture, our company is looking forward to realizing our growth plans fueled by our long-term investments in new technologies and solution accelerators while further strengthening our expertise and capabilities

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