Lead ML Engineer
MachinifySalary not specified
- Full Time
- Senior (5 to 8 years), Mid-level (3 to 4 years)
$60,000 – $100,000Compensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Enterprise Software, FintechIndustries
Requirements
Candidates should have a strong background in machine learning and software engineering, with experience in building and optimizing AI pipelines. Proficiency in model training, deployment, and backend development is required, along with familiarity with MLOps practices and cloud environments. Knowledge of LLM-based applications and API integration is preferred, as well as strong problem-solving skills and the ability to work collaboratively in a team setting.
Responsibilities
The Machine Learning Engineer will design, build, and optimize end-to-end AI pipelines for data ingestion, training, deployment, and real-time inference. They will implement training and fine-tuning workflows for ML models, develop scalable backend services and APIs, and build monitoring tools to track model performance. Additionally, they will work on LLM development and optimization, integrating APIs from various providers and ensuring the efficiency and accuracy of AI applications.
Skills
AI Pipeline Development
Model Training & Deployment
Backend Development
API Development
Model Monitoring
LLM Development
LLM Optimization
Data Ingestion
MLOps
Cloud Computing
Scalability
Reproducibility
Distributed Systems
Aigen
Autonomous robots for sustainable agriculture
About Aigen
Aigen offers agricultural technology solutions that integrate robotics, artificial intelligence, and renewable energy to help farmers enhance crop yields while reducing their workload and fossil fuel use. Their primary product, the Element vehicle, is an autonomous robot that can navigate, weed, and analyze crops, providing a scalable and chemical-free farming method. Aigen's vehicles run on renewable energy, utilizing solar panels and regenerative motors to minimize carbon footprints and operational costs. The company aims to serve a wide range of clients, from small farmers to large agricultural enterprises, by delivering real-time data and sustainable farming practices.
Key Metrics
Kirkland, WashingtonHeadquarters
2020Year Founded
$15.6MTotal Funding
SERIES_ACompany Stage
Food & Agriculture, Robotics & Automation, EnergyIndustries
51-200Employees