Machine Learning Engineer

Overview

Job Description

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 our company 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.

Must have Machine learning-3 years,Python-2 years of experience. Should be from product based company.

Job Type: Full-time

Pay: ₹200,000.00 - ₹250,000.00 per year

Work Location: In person