CodeZio - Machine Learning Engineer

3 days ago

Bengaluru, India CodeZio Full time

Job Title : Machine Learning Engineer

Location : On-Site - Bengaluru / Gurgaon

Job Type : Full Time

Job Description :

Hoomanely Inc. is seeking an experienced Machine Learning Engineer to design and implement advanced, custom-built ML models for digital and audio signal processing and accelerometer data analysis. This role offers an exciting opportunity to work on cutting-edge pet wellness technology, leveraging next-generation AI/ML techniques.

Key Responsibilities :

- Custom ML Model Development : Design and build tailored machine learning models from scratch for digital/audio signal processing and accelerometer data analysis.

- Advanced ML Techniques : Apply state-of-the-art methods including time series analysis, CNNs, RNNs, GANs, LLMs, and low-rank adaptation to solve complex challenges.

- Data Analysis & Preprocessing : Conduct sophisticated data analysis and prepare high-quality datasets for ML applications.

- MLOps & Deployment : Implement MLOps practices for seamless deployment of ML models into production, ensuring scalability, reliability, and performance.

- Performance Optimization : Continuously monitor, evaluate, and enhance model accuracy and efficiency.

- Cross-Functional Collaboration : Partner with product, engineering, and data science teams to integrate ML solutions across the product ecosystem.

- Research & Innovation : Stay updated with the latest trends in machine learning and signal processing to drive innovation.

Qualifications :

- Education : Bachelors or Masters in Computer Science, Data Science, Electrical Engineering, or related field with a focus on machine learning (Tier-1 institute preferred : IIT, NIT, or equivalent).

- Experience : Minimum 6 years of hands-on experience building custom ML models for digital signal processing, audio signal analysis, or accelerometer data analysis.

- Strong knowledge of time series ML, CNNs, RNNs, GANs, LLMs, and low-rank adaptation.

- Proven expertise in MLOps and deploying machine learning models in production.

- Proficiency in Python and ML frameworks such as TensorFlow or PyTorch.

- Excellent analytical, problem-solving, and communication skills.

Preferred Skills :

- Background in pet wellness or related industries.

- Familiarity with IoT device data processing and analysis.

- Knowledge of cloud computing platforms (AWS, GCP, Azure) for ML deployment.

Category :

- ML/AI Engineer (Software & Web Development)

- Data Scientist (Software & Web Development)

- Data Engineer (Software & Web Development)


(ref:hirist.tech)

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