Aigen

ML Engineer - India

Hyderabad, Telangana, India

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.

Key Metrics

Kirkland, WashingtonHeadquarters
2020Year Founded
$15.6MTotal Funding
SERIES_ACompany Stage
Food & Agriculture, Robotics & Automation, EnergyIndustries
51-200Employees

Benefits

Stock options
Flexible (WFH) Fridays
Minimum 15 days PTO
Healthcare - 100% coverage for employee
Vision
Dental
401(k)

Risks

Increased competition in agrivoltaics and farm robotics may challenge Aigen's market position.
Decline in agrifoodtech investment could impact Aigen's future funding opportunities.
Potential regulatory changes in AI and autonomous vehicles may increase compliance costs.

Differentiation

Aigen's Element vehicle offers chemical-free farming with autonomous weeding and crop analysis.
The company's solar-powered robotics reduce carbon footprint and operational costs for farmers.
Aigen leverages AI and satellite technology for real-time data, enhancing farm management.

Upsides

Aigen's $12M Series A funding boosts production and market expansion opportunities.
Growing agrivoltaics interest aligns with Aigen's solar-powered robotics for sustainable farming.
Compute for Climate Fellowship provides Aigen access to resources for climate-focused innovations.

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