Machine Learning Engineer
HangSalary not specified
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, AI & Machine Learning, Data Science, Identity VerificationIndustries
Requirements
Candidates should have 1-3 years of experience in machine learning development, proficient in Python and capable of building ML models with a strong foundation in AI/ML fundamentals, particularly with Large Language Models (LLMs), and eagerness to experiment with emerging techniques. They should prioritize responsible AI practices and model governance, especially in regulated environments like KYC/KYB, and possess a keen eye for detail when writing code.
Responsibilities
The Machine Learning Engineer will be responsible for building and maintaining ML models, integrating them with various data sources, designing core ML services to support KYC/KYB processes leveraging knowledge graphs and LLMs, developing robust data pipelines for feature extraction and transformation, implementing state-of-the-art techniques like reinforcement learning from human feedback (RLHF) and parameter-efficient fine-tuning methods, building and maintaining infrastructure for model training, evaluation, and deployment, ensuring ML systems meet industry standards for fairness, explainability, and compliance, optimizing model inference and training for efficient identity data processing, conducting experiments to evaluate model performance, debugging issues, and continuously improving architectures to handle diverse data and use cases.
Skills
Large Language Models
Python
PyTorch
TensorFlow
Google Cloud Platform
Knowledge Graphs
ML Model Development
Data Pipelines
Reinforcement Learning
Parameter-efficient Fine-tuning
Model Deployment
Model Governance
Performance Optimization
Advanced Technology Services
Outsourced industrial maintenance and MRO services
About Advanced Technology Services
Advanced Technology Services (ATS) provides outsourced industrial maintenance and Maintenance, Repair, and Operations (MRO) services to clients in the manufacturing sector. The company focuses on maintaining and repairing machinery and equipment, which helps clients minimize downtime and reduce operational costs. ATS employs skilled technicians and utilizes advanced processes and technologies to deliver comprehensive maintenance solutions, including proactive maintenance strategies and machine health monitoring systems. This allows clients to concentrate on their core business while benefiting from improved efficiency and cost savings. Unlike many competitors, ATS emphasizes a technology-driven approach, with a dedicated technology center that monitors critical assets to ensure smooth operations. The goal of ATS is to enhance the performance of manufacturing operations by providing reliable maintenance services that lead to increased productivity and profitability.
Peoria, IllinoisHeadquarters
1985Year Founded
GROWTH_EQUITY_VCCompany Stage
Robotics & Automation, Industrial & ManufacturingIndustries
1,001-5,000Employees