ML Ops Engineer

Yesterday

🇺🇸 United States – Remote

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

🐊 Florida – Remote

Although this job is listed in Florida, this company may be open to hiring remote in other states.

+6 more states

🏄 California – Remote 🐊 Florida – Remote 🌽 Illinois – Remote 🗽 New York – Remote 🍂 Massachusetts – Remote 🔔 Pennsylvania – Remote 🤠 Texas – Remote ☕ Washington – Remote

💵 $170k - $200k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

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Inspiren

WebsiteLinkedInAll Job Openings

2 - 10 employees

⚕️ Healthcare Insurance

☁️ SaaS

🧘 Wellness

💰 $2.7M Venture Round on 2022-10

Description

• Inspire was created to help operators forge thriving senior living communities. • We offer seamless solutions for stronger care decisions. • We are seeking a highly skilled ML Ops Engineer to create ML pipelines for traditional CV and LMM models. • You will drive innovation, ensure integration of cutting-edge technologies, and deliver software meeting the highest standards.

Requirements

• 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. • Proficiency in cloud platforms such as AWS, GCP, or Azure in AI/ML services. • Hands-on experience with Docker, Kubernetes, and CI/CD pipelines. • Familiarity with data pipelines, ETL processes, and tools like Apache Spark, Kafka, or Snowflake. • Expertise in monitoring model performance and implementing automated retraining workflows. • Understanding of data security and privacy best practices in ML. • Well-versed in Agile/Scrum methodologies and MLOps best practices. • Excellent verbal and written communication skills. • Comfortable working in a fast-paced environment and adapting to changing priorities. • Start-up experience is a plus.

Benefits

• Equity • Medical • Dental • Vision • Flexible PTO