Senior Software Engineer - Machine Learning

Summary

Join Mitratech's global team as a Senior Software Engineer specializing in Machine Learning and Natural Language Processing (NLP). You will play a key role in developing and deploying machine learning models to meet business objectives, ensuring data quality, and staying current with industry advancements. This position requires expertise in data science and software engineering, along with a proven track record in model development and deployment. Mitratech offers a close-knit, globally dispersed team environment that values individual excellence and fosters a diverse and inclusive work culture. The ideal candidate will have a Master's degree in a relevant field and hands-on experience with machine learning frameworks.

Requirements

• A solid understanding of setting up machine learning experiments, communicating results, and managing stakeholder expectations
• Experience in verifying and ensuring data quality through comprehensive data cleaning processes
• Proven experience in training custom models with available data and conducting rapid experimentation for proof-of-concept projects
• Hands-on knowledge of at least one major machine learning framework, with a preference for PyTorch
• A Master’s degree in Machine Learning, Computer Science with a preference for specialization in the NLP domain

Responsibilities

• Understand business objectives and develop machine learning models to achieve these goals, complete with performance tracking metrics
• Ensure data quality through rigorous verification and cleaning processes
• Explore and visualize data to understand it thoroughly, identifying any distribution differences that could impact model performance in real-world applications
• Proactively find and utilize available datasets online for model training purposes
• Define and implement robust validation strategies for model evaluation
• Take charge of training models and fine-tuning hyperparameters to optimize performance
• Skillfully deploy models to production environments, ensuring seamless integration and operational efficiency
• Maintain an up-to-date understanding of the latest developments in the machine learning field, with a keen eye on advancements in NLP

Preferred Qualifications

• Familiarity with MLOps practices, including model deployment and offering machine learning models as a service, is highly desirable
• Understanding of Large Language Models (LLMs) and third-party services, with the ability to evaluate the benefits of using these over in-house model development