Machine Learning Engineer

September 17

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Marketing • Strategy • Marketplace • Flyers • Offline

51 - 200

Description

• Design, implement, and deploy machine learning models. • Apply MLOps best practices to automate the ML lifecycle. • Monitor deployed models to ensure they meet performance metrics. • Work closely with software engineers, product managers, and other stakeholders.

Requirements

• Bachelor's or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field. • Minimum of 4 years of experience as a Machine Learning Engineer or in a similar role. • Proven experience with MLOps tools and frameworks (e.g., 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. • Ability to explain complex technical concepts to both technical and non-technical stakeholders.

Benefits

• Competitive salary (open to negotiation) with performance-based bonuses. • Professional growth opportunities in a fast-growing startup. • Flexible working hours and remote work options.