Senior Software Engineer, ML Ops

August 20

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EvolutionIQ

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Leading the artificial intelligence transformation for insurance carriers.

Healthcare • Insurance • Workers Compensation • Disability • Artificial Intelligence

51 - 200

Description

• We’re the leading AI Guidance Platform in the insurance industry today, working with some of the largest insurance carriers in the US and expanding globally. • In this role, you will play a critical part in ensuring that our growing client base is consistently supported by the latest and most robust ML infrastructure. • As we process increasing volumes of data, you will be responsible for scaling our systems to meet these demands, ensuring seamless and efficient model development, deployment, and maintenance across all clients. • You will collaborate with our platform and infrastructure teams to shape the future of EvolutionIQ’s ML Platform.

Requirements

• Strong expertise in developing, deploying, and maintaining scalable machine learning pipelines and infrastructure in production environments, ideally using Google Cloud Platform (GCP) services • Proficiency in Python for backend development, with experience in ML libraries such as TensorFlow, PyTorch, and Scikit-learn • Experience in building and maintaining CI/CD pipelines and orchestration tools (e.g., Airflow, Kubeflow, Dagster) for machine learning and data processing workflows, or similar tools • Strong skills in containerization (Docker, Kubernetes) and model serving frameworks (e.g., TensorFlow Serving, MLflow) for optimizing performance and scalability • Strong problem-solving skills, with experience in monitoring, troubleshooting, and improving the performance of ML models and data pipelines, with a focus on security, compliance, and data privacy • Excellent communication and collaboration skills, with the ability to work effectively in diverse, cross-functional teams • A commitment to continuous learning and development, with an openness to explore new tools, techniques, and approaches in the rapidly evolving field of MLOps

Benefits

• Compensation: The salary range for this role is $190-225K with flexibility, • Well-Being: Full medical, dental, vision, short- & long-term disability, 401k matching. 100% of the employee contribution up to 3% and 50% of the next 2% • Home & Family: Flexible PTO, 100% paid parental leave (4 months for primary caregivers and 3 months for secondary caregivers), sick days, paid time off. For new parents returning to work we offer a flexible schedule. We also offer sleep training to help you and your family navigate life schedules with a newborn • We also have a flexible vacation policy and are closed for winter break at the end of the year • Office Life: Catered lunches, happy hours, and pet-friendly office space. $500 for your in home office setup and $200/year for upgrades every year after your initial setup • Growth & Training: $1,000/year for each employee for professional development, as well as upskilling opportunities internally • Sponsorship: We are open to sponsoring candidates currently in the U.S. who need to transfer their active H1-B visa