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Python Ml Engineer Jobs in Dallas, TX (NOW HIRING)

Resolve Tech Solutions

Senior ML Engineer

Addison, TX · On-site

$101K - $138K/yr

Resolve Tech Solutions is seeking a Senior ML Engineer to develop machine learning models and ... Python, Java, or Scala. • Experience with machine learning frameworks and libraries such as ...

Vizient

Sr AI/ML Engineer

Irving, TX · On-site

$102K - $179K/yr

Own AI/ML solutions end to end, from scoping and design through implementation, deployment, and ... Strong Python expertise and production-grade software engineering practices required. * Experience ...

Vizient, Inc.

Sr AI/ML Engineer

Irving, TX · On-site

$102K - $179K/yr

Own AI/ML solutions end to end, from scoping and design through implementation, deployment, and ... Strong Python expertise and production-grade software engineering practices required. * Experience ...

Syntricate Technologies

Gen AI ML Engineer

Irving, TX · On-site

$95K - $125K/yr

Syntricate Technologies is looking for a Gen AI ML Engineer to lead the management and execution of ... Python MS by invoking Open AI APIs/LLMs and facilitate the end-to-end conversation. • Handson ...

Argyllinfotech

Python Software Engineer

Dallas, TX · On-site

Python Software Engineer Dallas, TX Client: CVS We are looking for an experienced Python Software ... AI/ML exposure: Practical exposure to AI/ML concepts and workflows (e.g., model integration ...

CCS INC

AI/ML Engineer

Plano, TX · On-site

$125 - $150/hr

Strong Python and AWS expertise, including Lambda, ECS/EKS, S3, SageMaker, Docker and Kubernetes ... AWS Solutions Architect, AWS DevOps Engineer, or equivalent industry certifications.

CCS INC

AI/ML Engineer

Plano, TX · On-site

$65 - $75/hr

Strong Python and AWS expertise, including Lambda, ECS/EKS, S3, SageMaker, Docker and Kubernetes ... AWS Solutions Architect, AWS DevOps Engineer, or equivalent industry certifications.

Bloomberg BNA

Web Application Architect, ML

Arlington, TX · On-site

$200 - $250/hr

... programming language such as Java or Python, ML/AI frameworks, libraries, data structures and data modeling techniques. * Extensive experience in all phases of machine learning application lifecycles ...

YO AI Labs

Mental Health Expert - Remote

Dallas, TX · Remote

$200 - $350/hr

Strong Python proficiency for AI/ML development, including REST APIs and SDK integrations. * Hands-on production experience with LLMs, RAG, and prompt engineering . * Experience with multi-agent ...

Scalence L.L.C.

Python + AI

Addison, TX · On-site

$48.75 - $67/hr

C. is seeking a GenAI / AI Engineer focused on building LLM-based applications, RAG pipelines, and AI APIs using Python and FastAPI. The role also involves ML deployment using Docker, Kubernetes ...

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Python Ml Engineer information

See Dallas, TX salary details

$22.8K

$138.5K

$200.3K

How much do python ml engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for python ml engineer in Dallas, TX is $138,464.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,300.00 and $162,700.00 per year, depending on experience, location, and employer.

What cities near Dallas, TX are hiring for Python Ml Engineer jobs?

Cities near Dallas, TX with the most Python Ml Engineer job openings:

Senior ML Engineer

Addison, TX • On-site

Resolve Tech Solutions
IT Services • 201 - 500 employees
Learn more about Resolve Tech Solutionsexternal

$101K - $138K/yr

Full-time

Re-posted yesterday

Job description

Job Summary:
Resolve Tech Solutions is seeking a Senior ML Engineer to develop machine learning models and algorithms that address business needs. The role involves collaborating with data scientists and software engineers to design scalable solutions, deploying models into production, and continuously improving their performance.
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.
Qualifications:
Required:
• 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:
• 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.
Company:
Resolve Tech Solutions (RTS) is a technology services company focusing delivering SAP as a managed cloud service in public cloud. Founded in 2010, the company is headquartered in Addison, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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