Senior Machine Learning Engineer - Cloud Computing (8-12 yrs)

Job Description :

We are seeking an experienced Senior Machine Learning Engineer to join our team. The ideal candidate will have a strong background in developing production-grade machine learning models, as well as significant hands-on experience with ML technologies and techniques. The Senior Machine Learning Engineer will work closely with cross-functional teams to develop and deploy ML models that enable us to deliver exceptional products and services to our customers.

Responsibilities :

- Develop and deploy production-grade machine learning models.

- Work closely with cross-functional teams to identify and prioritize ML projects and initiatives.

- Collaborate with data scientists, software engineers, and product managers to define ML models and algorithms.

- Develop and deploy end-to-end machine learning pipelines, including data pre-processing, feature engineering, model training, and model deployment.

- Identify and troubleshoot technical issues related to ML models in production.

- Implement and maintain monitoring and testing frameworks to ensure model performance and reliability.

- Lead and mentor a team of junior ML engineers.

Qualifications:

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

- 8-10 years of hands-on experience developing and deploying machine learning models in production.

- Strong proficiency in Python and relevant ML libraries (such as Scikit-learn, TensorFlow, PyTorch, etc.).

- Experience with cloud computing platforms such as AWS, Azure, or GCP.

- Demonstrated leadership experience, including the ability to lead a team of ML engineers.

- Strong problem-solving skills and the ability to think critically about complex technical issues.

- Excellent communication skills and the ability to collaborate effectively with cross-functional teams.

- Experience with distributed computing and big data technologies is a plus.

If you are a Senior Machine Learning Engineer with a strong background in developing production-grade ML models and a passion for leading and mentoring others, we encourage you to apply.