Senior Machine Learning Engineer - Data Modeling (6-8 yrs)

Location : Remote.

Experience : 6+ Years.

Job Description :

We are seeking an experienced Machine Learning Engineer with 6+ years of expertise to join our dynamic team. The ideal candidate will possess in-depth knowledge of machine learning frameworks and tools, coupled with experience in deploying and managing ML models at scale.

This is a remote position offering the opportunity to work on challenging projects in a collaborative environment.

Key Responsibilities :

- Design, develop, and deploy machine learning models and pipelines using TensorFlow, PyTorch, and Scikit-learn.

- Build and optimize ETL workflows for large-scale data processing.

- Integrate and manage CI/CD pipelines for seamless model deployment.

- Collaborate with cross-functional teams to define requirements and deliver high-quality ML solutions.

- Containerize ML applications using Docker and manage orchestration with Kubernetes.

- Leverage cloud platforms (AWS, Azure) for scalable ML model training and deployment.

- Implement and manage distributed computing frameworks like Apache Spark.

- Monitor and improve model performance, addressing issues like drift and retraining.

- Document best practices, frameworks, and workflows to support knowledge sharing within the team.

Required Skills and Qualifications :

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

- 6+ years of experience in machine learning engineering and deployment.

- Strong programming skills in Python and familiarity with frameworks like TensorFlow, PyTorch, and Scikit-learn.

- Proficiency in cloud platforms such as AWS and Azure.

- Hands-on experience with Docker and Kubernetes for containerization and orchestration.

- Expertise in CI/CD tools like Jenkins and version control systems like Git.

- Solid understanding of ETL processes and distributed computing frameworks such as Apache Spark.

- Strong problem-solving skills and the ability to work effectively in a remote setting.

- Excellent communication skills to collaborate with cross-functional teams and stakeholders.

Preferred Skills :

- Experience with MLflow for model tracking and monitoring.

- Familiarity with data versioning tools and feature stores.

- Knowledge of infrastructure-as-code tools like Terraform or Ansible.

- Certification in relevant cloud platforms or ML-related domains.

- Awareness of ethical considerations and data privacy regulations in ML.