Remote Machine Learning Engineer
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Description:
- The Machine Learning Engineer position at Oppizi involves developing, deploying, and optimizing end-to-end machine learning models, with a focus on MLOps (Machine Learning Operations).
- The role requires handling the entire machine learning lifecycle, from data ingestion to model deployment and beyond.
- Collaboration with cross-functional teams, including software engineers and product managers, to deliver high-quality ML solutions that impact business outcomes.
- Ensuring that models are scalable, efficient, and aligned with the company’s goals.
Requirements:
- A Bachelor's or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field is required.
- Minimum of 4 years of experience as a Machine Learning Engineer or in a similar role.
- Expertise in MLOps tools and frameworks like MLflow, Kubeflow, TensorFlow Extended.
- Strong proficiency in Python and experience with libraries such as Pandas, NumPy, and Scikit-learn.
- Hands-on experience with cloud platforms like AWS, Azure, or Google Cloud, and familiarity with containerization technologies like Docker and Kubernetes.
- Experience with data manipulation and building APIs using frameworks such as FastAPI, Flask, or Django.
- Excellent communication skills to explain technical concepts to both technical and non-technical stakeholders.
Benefits:
- Competitive salary with performance-based bonuses.
- Professional growth opportunities in a fast-growing startup.
- Flexible working hours and remote work options.
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