Automation Engineer for Data Pipeline and Machine Learning Models

4 weeks ago


Bengaluru, Karnataka, India Clutterbot Full time

About Clutterbot

We're a robotics startup on a mission to revolutionize home automation. Our cutting-edge household robot will make your life easier by picking up clutter and organizing it neatly into containers. Say goodbye to tedious chores and hello to a more efficient and stress-free home life.

As part of our team, you'll have the opportunity to work on innovative technology and collaborate with experienced professionals in the field. You'll also get to grow your skills and expertise through mentorship and hands-on experience.

About The Role

We're seeking an Automation Engineer to manage and automate our data pipeline for data collection, annotation, model training, dataset quality enhancement, and guideline improvement. This is a critical role that requires strong technical skills and attention to detail.

Responsibilities

- Automate data pipelines for seamless data flow to data warehouses and model training environments.

- Design and maintain ETL processes for data extraction, transformation, and loading.

- Create dashboards to identify data issues and showcase model performance.

- Develop and deploy adaptive on-device ML models based on data from initial robot sessions.

- Collaborate with the ML team to identify key metrics and data sources for model fine-tuning.

- Implement algorithms that efficiently learn from new data and adapt to changing environments.

- Build data processing pipelines for feature extraction and data labeling for ML training.

- Automate the ML lifecycle: training, validation, deployment, monitoring, and retraining.

- Manage CI/CD pipelines for ML models, ensuring automated testing, validation, and deployment.

- Work with cross-functional teams to ensure successful ML model delivery.

- Stay updated with the latest in ML, data engineering, and automation, recommending improvements.

Background/Skills

- Bachelor's or Master's degree in Computer Science, Electrical Engineering, Mathematics, or a related field.

- 3+ years of experience in machine learning engineering, focusing on developing and deploying ML models.

- Experience training and deploying ML computer vision models such as semantic segmentation, object detection, and image classification.

- Strong programming skills in Python or similar languages.

- Strong experience with popular ML frameworks such as TensorFlow or PyTorch.

- Strong experience with data processing and feature extraction techniques.

- Experience in working on ML model training and optimization for edge devices such as Nvidia Jetson.

- Familiarity with on-device learning and the challenges associated with it.

- Strong problem-solving and analytical skills, with the ability to analyze complex systems and identify areas for improvement.

- Excellent communication and collaboration skills, with the ability to work effectively in a team environment.

Salary Range: $120,000 - $160,000 per year

Benefits

- Flexible work culture

- Company-sponsored devices

- Team-building activities


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