Inspiren · 2 days ago
ML Ops Engineer
New York, NY
Full-time
Remote
Senior Level
$170K/yr - $200K/yr
5+ years exp
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Responsibilities
Lead ML Ops Projects: Oversee the end-to-end development and deployment of machine learning models and infrastructure, from conceptualization to production and continuous improvement.
Collaborate Cross-Functionally: Work closely with data scientists, software engineers, product managers, DevOps teams, and other stakeholders to define and implement scalable ML pipelines and infrastructure aligned with product needs.
Innovate and Optimize: Stay current with industry trends and emerging technologies in machine learning operations. Introduce new methodologies, tools, and technologies to enhance performance and streamline workflows. Provide technical expertise in ML model deployment, monitoring, and optimization.
Embed Rigorous Design for Excellence (DfX) Mindset: Conduct infrastructure reviews and failure mode effect analysis (FMEA). Partner with cross-functional teams to drive rigorous DfX (design for scalability, reliability, performance, and cost-efficiency) methodologies across all phases of ML pipeline development.
Mentor Team Members: Provide technical guidance and mentorship, fostering a culture of excellence, innovation, and continuous learning.
Ensure Quality, Reliability, and Compliance: Establish and oversee best practices for model validation, monitoring, and performance tracking. Ensure deployed ML models meet regulatory standards, ethical AI principles, and industry best practices.
Problem-Solve: Troubleshoot complex ML pipeline issues and implement effective solutions in a timely manner. Act as Tier-2 engineering support for ML systems in production.
Strategic Planning: Contribute to the long-term ML roadmap, aligning development with the company's product and platform roadmap.
Qualification
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Required
Bachelor's or Master's degree in Computer Science, Data Science, Software Engineering, or a related field.
5+ years of hands-on experience in ML Ops, having successfully launched and managed multiple machine learning projects in production.
Expertise in Python and familiarity with ML frameworks like TensorFlow, PyTorch, or Scikit-learn.
Experience with tools like MLflow, Kubeflow, Airflow, or similar workflow orchestration tools.
Proficiency in cloud platforms such as AWS, GCP, or Azure, particularly in AI/ML services and infrastructure management.
Hands-on experience with Docker, Kubernetes, and CI/CD pipelines.
Familiarity with data pipelines, ETL processes, and tools such as Apache Spark, Kafka, or Snowflake.
Expertise in monitoring model performance and implementing automated retraining workflows.
Understanding of data security and privacy best practices in the context of machine learning.
Well-versed in Agile/Scrum methodologies and MLOps best practices.
Excellent verbal and written communication skills, with the ability to convey complex ideas clearly.
Comfortable working in a fast-paced, dynamic environment and adapting to changing priorities.
Preferred
Start-up experience is a plus.
Benefits
Equity
Benefits (including medical, dental, and vision)
Flexible PTO
Company
Inspiren
Inspiren uses machine learning and industrial design to help nurses keep track.
11-50 employees
H1B Sponsorship
Inspiren has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2020 (1)
Funding
Current Stage
Early StageTotal Funding
$7.75MKey Investors
Third Prime
2022-10-04Series Unknown· $2.72M
2021-05-06Series Unknown· $1.56M
2019-01-28Seed· $3.48M
Leadership Team
Paul Coyne
Co-Founder & President
Vincent Cocito
Co-Founder, COO
Recent News
SEC
2022-10-05
Company data provided by crunchbase
