Manager, Machine Learning Operations

Job not on LinkedIn

🔥 51 minutes ago

⛷️ Utah – Remote

⛷️ Utah – Remote

💵 $59 - $91 / hour

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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IMH

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2007

🏗️ Construction

📦 Logistics

🛡️ Insurance

Construction • Logistics • Insurance

IMH is the Groupe IMA entity providing end-to-end housing assistance and post-claim services across France. It operates 24/7 emergency call-taking and rapid-response interventions for home incidents (fires, water damage, electrical faults, locksmithing), offers remote damage expertise and cost estimation, and manages repair-in-kind through a national network of vetted contractors. IMH also runs digital platforms to support project estimation and paid home-service offerings, coordinates large-scale catastrophe responses, and connects insurers, beneficiaries and service providers via its accredited prestataire network.

📋 Description

• Oversee deployment and monitoring of machine learning products at Select Health • Deliver measurable reductions in healthcare costs and improvements in members' health while improving member experience • Lead and mentor machine learning operations engineers and data engineers • Set the strategic direction for the MLOps technology stack • Manage partnerships across AI/ML engineering, data engineering, software engineering, cybersecurity, cloud operations, and business and technical leadership • Monitor and assess internal and third-party machine learning solutions using Responsible AI values • Execute the AI and ML strategic vision and roadmap • Coordinate machine learning operations and data engineering product development and management • Build and train effective machine learning engineering teams and foster employee engagement • Mentor and coach MLOps engineering leads on team culture and project execution • Manage the machine learning operations project portfolio and ensure timely, quality delivery • Integrate machine learning solutions into enterprise business processes and decisions using algorithm governance, ethics, and explainability frameworks • Track industry trends and apply emerging machine learning practices and technologies • Conduct research initiatives and explore new machine learning methodologies and applications • Recruit, train, and coach machine learning operations personnel

🎯 Requirements

• Demonstrated experience delivering and implementing successful machine learning operations infrastructure and solutions • Experience with DevOps best practices, including CI/CD, Docker, Kubernetes, and Git • Experience with Infrastructure-as-Code tools such as Terraform and Databricks Asset Bundles • Strong leadership skills to motivate and guide high-performing teams • Excellent communication and interpersonal skills, including engagement with senior-level stakeholders • Solid understanding of machine learning methodologies, algorithms, frameworks, and agentic systems • Experience with machine learning tools and programming languages such as Python, R, and SQL • Experience with production frameworks including Spark, TensorFlow, MLflow, and LangChain • Bachelor's degree in AI, ML, Computer Science, Statistics, or a related field (preferred) • 5 years of experience in machine learning, data science, data engineering, or software engineering (preferred) • Experience deploying Generative AI products into operational workflows (preferred) • Experience in health insurance, population health, or a related industry with understanding of medical economics (preferred) • Ability to work remotely with business travel as needed • Availability for video interviews through Microsoft Teams and potential onsite interviews and meetings

🏖️ Benefits

• Sign-on bonus when applicable • Relocation bonus when applicable • Annual Pay for Performance (AP4P) Plan • Generous benefits package covering wellness, health, security, connection, and engagement programs • Remote work option • Company equipment and remote-work support under applicable policies