We are seeking an AI / Machine Learning Engineer to design develop deploy and scale AI/ML solutions that solve real world business problems. The role focuses on building production grade ML models and AI services integrating them with enterprise systems and enabling automation intelligence and decisioning across platforms.
This role is hands on and execution focused working closely with product owners data engineers architects and business stakeholders.
Key Responsibilities
Design build and deploy AI/ML models (supervised unsupervised NLP GenAI where applicable)
Develop end to end ML pipelines including data ingestion feature engineering model training evaluation and deployment
Build and expose models as APIs / microservices for integration with enterprise applications
Apply AI to use cases such as:
Intelligent automation
Document processing & extraction
Intent classification & routing
Prediction scoring and anomaly detection
Collaborate with Data Engineering teams on data pipelines and feature stores
Implement model monitoring performance tracking and retraining strategies
Ensure solutions meet security compliance and governance standards
Optimize models for accuracy latency and scalability
Contribute to technical design code reviews and best practices
Required Skills & Qualifications
Core Technical Skills
Strong programming skills in Python (required)
Experience with ML frameworks: TensorFlow PyTorch Scikit learn
Hands on with NLP / LLMs (tokenization embeddings transformers prompt engineering)
Experience building REST APIs (FastAPI Flask Spring Boot integrations)
Job Title: AI / Machine Learning Engineer Job Location: Charlotte NC (Hybrid) Job Duration: Long Term Role Summary We are seeking an AI / Machine Learning Engineer to design develop deploy and scale AI/ML solutions that solve real world business problems. The role focuses on building production...
Job Title: AI / Machine Learning Engineer
Job Location: Charlotte NC (Hybrid)
Job Duration: Long Term
Role Summary
We are seeking an AI / Machine Learning Engineer to design develop deploy and scale AI/ML solutions that solve real world business problems. The role focuses on building production grade ML models and AI services integrating them with enterprise systems and enabling automation intelligence and decisioning across platforms.
This role is hands on and execution focused working closely with product owners data engineers architects and business stakeholders.
Key Responsibilities
Design build and deploy AI/ML models (supervised unsupervised NLP GenAI where applicable)
Develop end to end ML pipelines including data ingestion feature engineering model training evaluation and deployment
Build and expose models as APIs / microservices for integration with enterprise applications
Apply AI to use cases such as:
Intelligent automation
Document processing & extraction
Intent classification & routing
Prediction scoring and anomaly detection
Collaborate with Data Engineering teams on data pipelines and feature stores
Implement model monitoring performance tracking and retraining strategies
Ensure solutions meet security compliance and governance standards
Optimize models for accuracy latency and scalability
Contribute to technical design code reviews and best practices
Required Skills & Qualifications
Core Technical Skills
Strong programming skills in Python (required)
Experience with ML frameworks: TensorFlow PyTorch Scikit learn
Hands on with NLP / LLMs (tokenization embeddings transformers prompt engineering)
Experience building REST APIs (FastAPI Flask Spring Boot integrations)