Hoomanely

The ideal candidate will have a strong background in applying machine learning to Digital Signal Processing, particularly in audio signal analysis and accelerometer data analysis. This role involves developing innovative ML models, including CNNs, RNNs, and GANs, and leveraging techniques such as LLMs and low-rank adaptation to enhance our product offerings. The successful candidate will also be proficient in MLOps practices and deploying ML models into production environments. 

Key Responsibilities:

• Custom ML Model Development: Design and build custom machine learning models from scratch, tailored to specific applications in digital and audio signal processing and accelerometer data analysis. The ideal candidate will have published papers or demonstrable customized models custom-built for specific problem domains.
• Advanced ML Techniques: Apply advanced machine learning techniques, including time series analysis, CNNs, RNNs, GANs, LLMs, and low-rank adaptation, to solve complex problems in pet wellness technology.
• Data Analysis and Processing: Perform sophisticated data analysis and preprocessing to prepare datasets for machine learning applications.
• MLOps and Model Deployment: Implement MLOps practices to streamline the deployment of machine learning models into production, ensuring scalability, performance, and reliability.
• Performance Optimization: Continuously monitor and optimize ML models to improve accuracy and efficiency.
• Cross-functional Collaboration: Work closely with product development, engineering, and data science teams to integrate ML models into Hoomanely Inc.’s product ecosystem.
• Research and Innovation: Stay abreast of the latest developments in machine learning and signal processing to drive innovation within the company.

Qualifications:

• Bachelors/Masters in Engineering in Computer Science, Data Science, Electrical Engineering, or a related field focusing on machine learning. Preferably from a top tier (Tier 1 in India/US - IIT, NIT equivalent) institute.
• Proven experience building custom ML models for digital signal processing, audio signal analysis, and accelerometer data analysis, with a minimum of 6 years of relevant experience.
• Strong knowledge of time series-based machine learning, CNNs, RNNs, GANs, LLMs, and low-rank adaptation techniques.
• Experience with MLOps practices and deploying machine learning models in production environments.
• Proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch) and programming languages (e.g., Python).
• Excellent analytical, problem-solving, and communication skills.

Preferred Skills:

• Experience in pet wellness or related industries.
• Familiarity with IoT device data processing and analysis.
• Knowledge of cloud computing platforms and services for ML deployment. 

Backend Engineer with a strong foundation in Machine Learning, proficient in Node.js, Go, and Python, and experienced in developing web crawlers and using machine learning frameworks like TensorFlow and PyTorch. The candidate will play a pivotal role in enhancing backend systems, contributing to various projects, and optimizing our technology for better user experiences and product functionality. The candidate should have experience with leading a small team of high-performing talented engineers.

Key Responsibilities:

• Backend System Development: Design and implement scalable backend services using Node.js, Go, and Python.
• Machine Learning Integration: Apply machine learning algorithms and frameworks, including TensorFlow and PyTorch, to enhance data analytics and insights.
• Web Crawling and Data Scraping: Develop and maintain web crawlers and scrapers using tools like Scrapy to gather and process data efficiently.
• DevOps and CI/CD Pipelines: Build and manage CI/CD pipelines for streamlined deployment and continuous integration.
• Infrastructure Management: Oversee cloud and on-premises infrastructure, focusing on scalability and system reliability.
• Collaboration and Agile Development: Work within cross-functional teams, aligning backend development with broader project objectives and adopting agile methodologies.
• Agile Project Management: Independently build the engineering backlog, plan sprints, track sprints, measure sprint velocity, and burndown, and ensure timely product delivery.
• Testing and Quality Assurance: Ensure the stability and performance of backend systems through comprehensive testing and quality control.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• Solid experience in backend development using Node.js, Go, and Python. A minimum of 6 years of experience in a high-scale consumer internet startup.
• Experience with machine learning frameworks such as TensorFlow or PyTorch.
• Proficiency in developing web crawlers and scrapers, with experience using Scrapy.
• Strong understanding of cloud infrastructure, DevOps practices, and CI/CD pipelines.
• Familiarity with handling large-scale data processing and storage.

Preferred Skills:

• Exposure to IoT technologies and data integration from various sources.
• Effective problem-solving skills and meticulous attention to detail.