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Selected role

Machine Learning Engineer

Insight Global Charlotte, NC

Live

$200k · Senior Full-time Posted 7 days ago 2 min read

**Summary**

We're seeking an ML Engineer to develop and implement natural language processing systems that convert user-friendly constraint descriptions into structured data for our sports scheduling optimization engine. You'll bridge the gap between human intent and algorithmic execution.

**Key Responsibilities**

**Natural Language Processing (NLP) System Development**

* Design and implement NLP models to parse natural language scheduling constraints
* Build robust intent classification and entity extraction systems
* Develop constraint validation and disambiguation workflows
* Create feedback loops to improve model accuracy over time

**Data Structure Design**

* Transform parsed constraints into structured representations for optimization algorithms
* Design flexible schemas that accommodate diverse scheduling requirements
* Ensure seamless integration between NLP outputs and scheduling engine inputs

**Model Training & Optimization**

* Curate and expand training datasets for sports scheduling domain
* Fine-tune language models for constraint understanding
* Implement evaluation metrics specific to constraint extraction accuracy
* Optimize model performance for real-time constraint processing

**Integration & Deployment**

* Build APIs for constraint ingestion and processing
* Implement monitoring and logging for production NLP systems
* Collaborate with backend engineers on scheduling algorithm integration
* Ensure system scalability and reliability

**Required Qualifications**

**Technical Skills**

* 3+ years experience with NLP frameworks (spaCy, Transformers, NLTK)
* Proficiency in Python and ML libraries (scikit-learn, PyTorch/TensorFlow)
* Experience with intent classification, named entity recognition, and text parsing
* Understanding of optimization algorithms and constraint satisfaction problems
* Familiarity with API development and deployment (FastAPI, Flask)

**Domain Knowledge**

* Strong grasp of sports scheduling concepts and common constraints
* Experience translating business requirements into technical specifications
* Understanding of data structures and algorithmic complexity

**Soft Skills**

* Excellent problem-solving and analytical thinking
* Strong communication skills for cross-functional collaboration
* Attention to detail in handling edge cases and ambiguous inputs

**Preferred Qualifications**

* Experience with sports analytics or scheduling systems
* Knowledge of linear programming and combinatorial optimization
* Familiarity with LLMs and prompt engineering
* Background in computational linguistics or related field
* Experience with A/B testing and model evaluation methodologies

**Direct Placement Roles:**

**Compensation:**

**$180,000 to $200,000 per year annual salary.**

Exact compensation may vary based on several factors, including skills, experience, and education.

Benefit packages for this role include:
*Benefit packages for this role may include healthcare insurance offerings and paid leave as provided by applicable law.*

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