Summary

We are seeking a highly motivated and skilled Machine Learning Engineering Developer I to join our growing team. This role will focus on the development and deployment of machine learning (ML) pipelines and applications on cloud platforms. The ideal candidate will have a strong foundation in software engineering principles and a passion for applying ML models to real-world problems.

Key Responsibilities

• Develop and maintain robust and scalable ML pipelines for generating predictions from ML models deployed on cloud platforms (specify preferred platforms, e.g., AWS, Azure, GCP). 
• Deploy and manage ML models in production environments, ensuring high availability, performance, and reliability. 
• Adhere to established standards and best practices for developing and deploying ML pipelines, ensuring code quality, maintainability, and security. 
• Participate in the development of ML applications on cloud platforms, collaborating with data scientists and product teams. 
• Collaborate effectively with data scientists and product teams throughout the ML model lifecycle, from development and testing to deployment and monitoring. 
• Contribute to the continuous improvement of ML infrastructure and processes. 
• Troubleshoot and resolve issues related to ML pipeline performance and deployment. 
• Document code, processes, and best practices. 
• Proactive and results-oriented: Embraces challenges with enthusiasm and a positive "can-do" attitude, consistently exceeding expectations. 
• Innovative and solution-focused: Proactively identifies opportunities for improvement and contributes creative solutions to enhance efficiency and effectiveness. 
• Customer-centric: Demonstrates a strong understanding of customer needs and leverages this knowledge to deliver exceptional service and build strong relationships. 
• Analytical and detail-oriented: Meticulously gathers and analyzes information to effectively identify and resolve complex problems. 
• Collaborative team player: Actively contributes to a positive team environment, fostering collaboration and contributing to shared success. 
• Growth-minded: Actively seeks opportunities to develop new skills and apply them to enhance job performance and contribute to organizational goals.

Critical Qualifications

• Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related field. Relevant experience may be considered in lieu of a degree. 
• Less than 3 years of relevant work experience in a machine learning engineering or software development role. 
• Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch, Keras – specify preferred frameworks). 
• Proficiency in commonly used machine learning libraries (e.g., scikit-learn, pandas, NumPy – specify preferred libraries). 
• Understanding of computer architecture and hardware, including considerations for optimizing ML model performance. 
• Proficiency in Python or Java (specify preferred language). 
• Experience building and deploying pipelines or applications using tools such as [mention specific tools if applicable, e.g., Docker, Kubernetes, Airflow]. 
• Strong problem-solving and analytical skills. 
• Excellent communication and collaboration skills. 

Preferred Qualifications

• Experience with cloud platforms (AWS, Azure, GCP – specify preferred platforms). 
• Experience with version control systems (e.g., Git). 
• Experience with CI/CD pipelines. 
• Contributions to open-source projects