Remote Senior Machine Learning Operations Engineer

Description:

• Agiloft is seeking a skilled Senior Machine Learning Operations Engineer to join their team focused on machine learning and generative AI.
• The role involves collaborating with Data Scientists, Legal Knowledge Experts, Developers, and other Machine Learning Engineers to design, build, and maintain robust production machine learning infrastructure and tooling.
• Responsibilities include building and maintaining end-to-end machine learning pipelines, from data ingestion to model deployment and monitoring.
• The engineer will design, implement, and optimize infrastructure for rapid prototyping, continuous integration, deployment, and model evaluation.
• Monitoring and maintaining production machine learning systems to ensure reliability, scalability, and performance is a key responsibility.
• The position also involves providing technical guidance and mentorship to junior team members and fostering knowledge sharing within the MLOps and Data Science teams.
• Staying updated with the latest advancements in MLOps, cloud technologies, and generative AI to identify and implement best practices is essential.
• The engineer will set and enforce standards for code quality and best practices across the data science and engineering organizations.
• Other duties may be assigned as needed.

Requirements:

• Proven experience deploying and maintaining machine learning models in production environments is required.
• Candidates must demonstrate the ability to gather requirements, design systems, and scope and plan projects effectively, focusing on the entire machine learning lifecycle.
• Experience with REST API design and implementation, preferably using frameworks such as Flask or FastAPI, is necessary.
• Proficiency in Python, including general-purpose programming and machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch, is required.
• Experience in building and scaling machine learning pipelines and infrastructure, including data gathering, feature engineering, model training, and deployment workflows, is essential.
• Proficiency with cloud platforms, preferably AWS, and tools like SageMaker or Lambda is required.
• Strong communication skills are necessary to effectively collaborate with diverse teams, including product managers, engineers, and data scientists.
• Familiarity with CI/CD tools and practices as they apply to machine learning workflows is important.
• Experience with modern containerization tools such as Docker and Kubernetes is required.

Benefits:

• The position offers a competitive salary range of $120,000 - $135,000 per year, excluding bonuses and benefits.
• Agiloft promotes a diverse and inclusive workplace, encouraging individuals from all walks of life to apply.
• The company supports multiple Employee Resource Groups (ERGs) and offers a working environment that promotes a healthy work/life balance.
• Employees benefit from floating holidays and a quarterly, no-questions-asked wellness day.
• Agiloft is committed to an environment of acceptance, ensuring that all employment decisions are based on business needs and individual qualifications.