
Machine Learning Engineer
24 hours ago
As a highly skilled Machine Learning Engineer, you will play a pivotal role in developing and deploying predictive models that drive business growth.
We are seeking an experienced professional to lead our machine learning initiatives, leveraging expertise in Python, data engineering, and cloud platforms.
The ideal candidate will have a strong background in statistics, machine learning algorithms, and model evaluation techniques, with experience in handling large-scale data pipelines and real-time model serving.
In this dynamic role, you will collaborate closely with cross-functional teams to define data requirements and success metrics, ensuring seamless integration of machine learning solutions into our production environment.
- Main Responsibilities:
- Design, develop, and deploy machine learning models using best practices.
- Collaborate with data engineers and business teams to identify key performance indicators (KPIs) and ensure alignment with business objectives.
- Leverage CI/CD practices to automate machine learning workflows, ensuring high-quality deliverables and efficient deployment.
Required Skills and Qualifications
- Strong proficiency in Python programming language.
- Experience with ML Ops tools/frameworks (e.g., MLflow, Kubeflow, Airflow).
- Good understanding of data engineering concepts (ETL, data pipelines, APIs).
- Hands-on experience with containerization and orchestration (Docker, Kubernetes).
- Knowledge of cloud platforms (AWS, GCP, or Azure) for ML model deployment.
- Strong background in statistics, machine learning algorithms, and model evaluation techniques.
- Familiarity with version control (Git) and CI/CD pipelines.
Benefits
This is an exceptional opportunity to join a cutting-edge organization and contribute to the development of innovative machine learning solutions. The successful candidate will enjoy a competitive salary, comprehensive benefits package, and opportunities for career growth and professional development.
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