Senior Machine Learning Engineer

Description:

This will involve staying updated with best practices in data handling, MLOps, as well as the latest advancements in machine learning to integrate new techniques into our platform, ensuring it remains at the cutting edge of the industry. You will also provide mentorship to junior engineers, fostering a collaborative and innovative work environment that encourages continuous learning and growth.

At Neara, you will be part of a team that values your ideas, supports your development, and celebrates your successes. If you are motivated and results-driven, we’d like to meet you.

Some Of The Things You Will Contribute To
 

• Developing approaches to generate accurate electric networks from imperfect data using deep learning and classical ML algorithms
• Developing and optimising training pipelines to reduce toil and idea-to-evaluation time.
• Scaling serving of models for different problems with different characteristics while reducing time from the first model to production.
• Improving the speed of model QA and identifying data and distribution drift in the models.
• Working with a variety of data sources, including LiDAR, aerial photography, photogrammetry & GIS, and building scalable data pipelines to support training and serving.
• Mentoring other engineers in best practices for model training and software engineering.
   

Some Attributes We Highly Regard
 

• Demonstrated experience with Machine Learning and Deep Learning
• Strong foundation in software engineering
• Proficiency in frameworks like PyTorch/Tensorflow/Jax
• Excellent problem-solving skills as applied to new domains.
• Ability to work effectively asynchronously and cross-functionally on ill-defined problems.
• Ability to own problems and proactively approach challenges