Machine Learning Engineer
HangFull Time
Senior (5 to 8 years)
Hyderabad, Telangana, India
Key technologies and capabilities for this role
Common questions about this position
The position is hybrid.
This information is not specified in the job description.
Required skills include strong understanding of machine learning principles and algorithms, experience with data ingestion, training, deployment, and monitoring, proficiency in backend development and API integration, familiarity with MLOps and cloud environments like AWS, GCP, Azure, and experience with LLM-based applications.
This information is not specified in the job description.
Strong candidates will have experience across the AI pipeline including data ingestion, model training, deployment, backend development, MLOps, cloud platforms, and LLM applications, along with the ability to collaborate with data and product teams.
Autonomous robots for sustainable agriculture
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.