Lead ML Engineer
MachinifySalary not specified
- Full Time
- Senior (5 to 8 years), Mid-level (3 to 4 years)
Not SpecifiedCompensation
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 AI, with experience in building and optimizing AI pipelines. Proficiency in programming languages such as Python and familiarity with MLOps practices are required. Experience with model training, deployment, and monitoring in cloud, on-prem, and edge environments is essential. Knowledge of LLM development and API integration is preferred.
Responsibilities
As a Machine Learning Engineer at Aizen, you will design, build, and optimize end-to-end AI pipelines for data ingestion, training, deployment, and real-time inference. You will implement training and fine-tuning workflows for ML models, develop scalable backend services and APIs, build monitoring and logging tools for model performance, and create LLM-based applications while ensuring seamless integration with infrastructure systems.
Skills
Machine Learning
Data Ingestion
Model Training
Model Deployment
Model Monitoring
Backend Development
API Integration
MLOps
Cloud Environments
AWS
GCP
Azure
LLM
OpenAI
Anthropic
Cohere
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.
Kirkland, WashingtonHeadquarters
2020Year Founded
$15.6MTotal Funding
SERIES_ACompany Stage
Food & Agriculture, Robotics & Automation, EnergyIndustries
51-200Employees