Machine Learning Engineer

3 days ago


Anywhere in IndiaMultiple Locations Global Employees Full time

Responsibilities :

- Develop and Implement ML Models : Design, build, and deploy machine learning models for various business applications, from initial research to production-ready solutions.

- Data Collection & Preprocessing : Collect, clean, and preprocess data from multiple sources to make it ready for modeling.

- Model Training and Evaluation : Conduct model training, testing, and evaluation using various metrics to ensure high performance and reliability.

- Feature Engineering : Perform feature selection and engineering to optimize model performance.

- Deploy and Monitor Models : Deploy models in production environments and continuously monitor performance to ensure accuracy and robustness over time.

- Optimize and Scale ML Models : Improve the efficiency and scalability of existing models using best practices in machine learning engineering.

- Collaborate with Cross-Functional Teams : Work with data scientists, software engineers, and product managers to understand requirements and deliver ML solutions that meet business needs.

- Stay Updated on ML Trends : Keep up-to-date with the latest advancements in machine learning, deep learning, and data science fields.

Qualifications :

- Education : Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, Statistics, or a related field.

- Experience : 2+ years of hands-on experience in machine learning or data science, including experience in deploying ML models.

- Strong problem-solving abilities and analytical thinking.

- Excellent communication and teamwork skills.

- Ability to manage multiple tasks and projects simultaneously

(ref:hirist.tech)

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