Jobs / Who***
Software Engineer II, MLOps
Who*** · Boston, MA, United States
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Boston, MA, United States125,000-175,000 USD/yearlyOnsite
Remuneration
125,000-175,000 USD/yearly
Location
Boston, MA, United States
Visa sponsorship
Sponsors visa
Job summary
At Who***, we're on a mission to unlock human performance. Who*** empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. We are looking for a talented and passionate Software Engineer II to join our MLOps team, focusing on the development and optimization of ML cloud infrastructure.
Benefits
The U.Base salary range for this full-time position is $125,000 - $175,000.Salary ranges are determined by role, level, and location.Within each range, individual pay is based on factors such as job-relatedAnd a generous equity package.These ranges may be modified in the future to reflect evolving market conditionsWhile most offers will typically fall toward the starting point of the range, to
Qualifications
- and facilitate the transition from prototype to production.
- Develop APIs, microservices, and other components necessary to integrate ML models into existing systems, enabling real-time inference and decision-making.
- Leverage cloud services to optimize the deployment and performance of machine learning models and associated infrastructure.
- Utilize services such as AWS SageMaker, Lambda, and ECS to build scalable, cost-effective solutions that support real-time ML/AI workloads.
- Support AI teams by troubleshooting and resolving technical challenges related to model deployment and performance in production.
- Stay up-to-date with the latest advancements in ML infrastructure, cloud computing, and AI deployment strategies.
- Proactively suggest and implement improvements to enhance the efficiency, reliability, and scalability of ML operations within the organization.
- Bachelor’s Degree: A degree in Computer Science, Software Engineering, or a related field; or equivalent practical experience.
- 2+ years of experience in software engineering, with a significant focus on building and maintaining ML infrastructure in cloud environments.
- Familiarity with Cloud Computing concepts and design patterns
- Experience in writing code in a functional or object oriented programming language such as Python or Java
- An understanding of the steps of ML lifecycle including model training and evaluation as well as monitoring a model in production.
Responsibilities
- In this role, you will play a critical part in supporting our Data Science and AI teams by building robust, scalable systems for the productionalization of machine learning models.
- Design, develop, and maintain cloud-based infrastructure to support the deployment and scaling of machine learning models.
- Implement automated pipelines for continuous integration and continuous deployment (CI/CD) of ML models, ensuring seamless transitions from development to production environments.
- Collaborate closely with Data Scientists and AI teams to understand model
Degrees
AssociateDegree
Industry
AutomotiveEducationEnergy
Company size
Smb