Machine Learning Developer

September 7

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Custom Application Development • Microsoft Technologies • Business Requirements Analysis • Microsoft Application Development Competency • Cloud-delivered Solutions

201 - 500

Description

• Design and engineer scalable machine learning pipelines and systems to integrate and deploy models efficiently. • Collaborate with data scientists to optimize and productize ML algorithms and models, ensuring they are production-ready. • Lead the deployment and operationalization of models in production, implementing CI/CD and ensuring robustness, scalability, and fault tolerance. • Continuously monitor and enhance the performance and reliability of deployed models, implementing A/B testing, versioning, and rollback strategies. • Mentor junior team members, provide technical guidance, and contribute to the overall engineering strategy of the team.

Requirements

• 5+ years of experience in machine learning engineering, software engineering, and MLOps. • Strong proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or similar. • Extensive experience with cloud platforms (Azure, AWS, GCP) and implementing MLOps practices for automated, scalable, and reproducible ML pipelines. • Proven track record of engineering and deploying ML models and solutions in production environments, including monitoring, scaling, and maintaining model performance. • Strong analytical and problem-solving skills with an engineering-oriented mindset. • Excellent communication skills and ability to work in a collaborative, fast-paced engineering environment.

Benefits

• Competitive remuneration package • Excellent career and growth prospects