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Python Ml Engineer Jobs in Charlotte, NC (NOW HIRING)

Python Developer Onsite Role Charlotte NC Key Responsibilities * Build and maintain large-scale ... Design and implement ML training and inference workflows using PyTorch and integrate them into ...

Lead Python Developer

Charlotte, NC · On-site

$136K - $168K/yr

Lead Python Developer Location: Charlotte, NC, Iselin, NJ, TX Work Model: Hybrid 3 days onsite ... Design and implement AI/ML solutions, including ML pipelines, LLM/RAG applications, and model ...

New

AI Engineer

Charlotte, NC · On-site

$111K - $134K/yr

AI Engineer Location : Charlotte, NC (LOCAL NEEDED) Job Type: C2C/W2 Duration:12 Months Contract ... Python ML NumPy, Pandas, Scikit Learn, XGBoost NLP spaCy, Hugging Face Transformers, NLTK ...

Databricks Data Architect

Charlotte, NC · On-site

$62.25 - $80/hr

Proficiency in Python or Scala for data engineering and ML workflows. * Strong understanding of AWS, Azure, or GCP cloud ecosystems. * Experience with Terraform automation, DevOps, and MLOps ...

Databricks Data Architect

Charlotte, NC · On-site

$62.25 - $80/hr

Proficiency in Python or Scala for data engineering and ML workflows. * Strong understanding of AWS, Azure, or GCP cloud ecosystems. * Experience with Terraform automation, DevOps, and MLOps ...

Lead ML Platform Engineer

Charlotte, NC · On-site

$100K - $131K/yr

The Lead ML Platform Engineer provides architecture and hands-on engineering leadership for the ... Proficiency in Python for platform automation, integration, operational tooling, or ML workflow ...

Lead AI Engineer

Charlotte, NC · On-site

$100K - $131K/yr

Kforce has a client in Charlotte, NC that is seeking a Lead AI Engineer to lead IVR and ... Python/ML: NumPy, Pandas, Scikit-learn, XGBoost * NLP: spaCy, Hugging Face Transformers, NLTK ...

... ML, ML, and deep learning algorithms, while enhancing analytics including LLMs, and create ... engineering principles. • Knowledge of MLOps and AI/ML deployment (e.g., SageMaker, Snowflake ...

Showing results 21-40

Python Ml Engineer information

See Charlotte, NC salary details

$22.5K

$136.7K

$197.8K

How much do python ml engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for python ml engineer in Charlotte, NC is $136,712.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,900.00 and $160,700.00 per year, depending on experience, location, and employer.

Python Developer

Charlotte, NC

RAPID EAGLE INC
IT Services • 11 - 50 employees

$55 - $75/hr

Full-time

Re-posted 19 days ago


Job description

Python Developer
Onsite Role
Charlotte NC

Key Responsibilities
     •    Build and maintain large-scale data processing pipelines using Apache Spark for batch and streaming data.
     •    Design and implement ML training and inference workflows using PyTorch and integrate them into production systems.
     •    Develop and orchestrate ETL and ML pipelines with Apache Airflow, ensuring reliability, scalability, and observability.
     •    Optimize performance of data pipelines and ML model training on distributed clusters.
     •    Collaborate with Data Scientists and ML Engineers to productize models and deploy them into production environments.
     •    Implement best practices for code quality, CI/CD, unit testing, and monitoring.
     •    Ensure data quality, integrity, and security across all pipelines.
     •    Troubleshoot performance bottlenecks and optimize resource utilization.
     •    Stay up to date with advancements in ML frameworks, distributed computing, and workflow orchestration tools.
Required Qualifications
     •    Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
     •    5+ years of professional Python development experience, with strong object-oriented programming and software engineering fundamentals.
     •    Hands-on experience with PyTorch for model training and inference.
     •    Deep understanding of Apache Spark for distributed data processing (PySpark or Scala is a plus).
     •    Strong experience with Apache Airflow for workflow orchestration in production environments.
     •    Proficiency in SQL and working with relational and NoSQL databases.
     •    Experience with Docker, Kubernetes, and cloud platforms (AWS/GCP/Azure).
     •    Familiarity with data versioning and ML model lifecycle management (MLflow or similar).
     •    Strong problem-solving and debugging skills in distributed systems.
 
 
Preferred Skills
     •    Experience with real-time data processing frameworks (Kafka, Flink).
     •    Knowledge of feature stores, data lake architectures, and Delta Lake.
     •    Familiarity with MLOps practices (CI/CD for ML, model registry, automated retraining).
     •    Experience with GPU-accelerated ML training and performance optimization.
     •    Contribution to open-source ML or data engineering projects.
 

Rapid Eagle logo

About Rapid Eagle

Sourced by ZipRecruiter

Rapid Eagle is dedicated to delivering testing solutions that help organizations take on important initiatives and reach their goals. They have a strong understanding of various industries and functions, utilize advanced technology, and operate on a global scale. The company encourages a culture of entrepreneurial thinking at all levels, promoting ownership, leadership, and accountability. What sets Rapid Eagle apart is their expertise in providing comprehensive testing solutions. They have a specialized team with extensive knowledge and experience, combining traditional values, a strong work ethic, and expertise in specific domains. The management team also has a deep understanding of client expectations. In short, Rapid Eagle Technologies is an IT company that focuses on testing solutions, brings together a skilled team with industry expertise, and strives to meet client expectations.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Fremont, CA, US

Year founded

2005

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