Machine Learning Engineer at Clairo

San Pedro Garza García, Nuevo Leon, Mexico

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Industrial IoT, AutomotiveIndustries

Requirements

Bachelor’s degree in Computer Science, Electrical Engineering, Statistics, or a related field
8+ years of experience in machine learning and software engineering
Demonstrated success leading technical teams or driving complex projects in a production environment
Strong understanding of core ML and AI methods: supervised/unsupervised learning, classification, regression, clustering, deep learning, etc
High proficiency in Python, ML frameworks (PyTorch, TensorFlow, Scikit-learn), SQL, and cloud platforms
Experience working with time-series data
Excellent communication skills and ability to work effectively in cross-functional teams
Preferred Qualifications
Advanced degree in Computer Science, Electrical Engineering, Statistics, or a related field
Experience in industrial or automotive industry
Knowledge of MLOps tools such as MLflow, Airflow, Docker, Kubernetes
Experience with signal processing, edge computing, or physics-informed ML models

Responsibilities

Design and deploy models for predictive maintenance, anomaly detection, asset optimization, and time-series forecasting
Work with large-scale sensor data from connected devices
Develop robust data pipelines and real-time inference systems integrated with both edge and cloud infrastructure
Lead the end-to-end technical execution of ML projects—from ideation and prototyping to deployment and monitoring
Mentor and support a team of ML and software engineers, establishing and enforcing best practices in model development, testing, and deployment
Collaborate with product managers and domain experts to ensure technical solutions align with strategic business goals

Skills

Key technologies and capabilities for this role

PythonPyTorchTensorFlowScikit-learnSQLtime-series datapredictive maintenanceanomaly detectiondata pipelinesMLOpsMLflowAirflowDockerKubernetescloud platforms

Questions & Answers

Common questions about this position

What experience level is required for this Machine Learning Engineer role?

The role requires 8+ years of experience in machine learning and software engineering, along with demonstrated success leading technical teams or driving complex projects in a production environment.

What technical skills are essential for this position?

Candidates need high proficiency in Python, ML frameworks like PyTorch, TensorFlow, and Scikit-learn, SQL, cloud platforms, and experience with time-series data, plus a strong understanding of core ML methods including supervised/unsupervised learning, deep learning, and more.

What education is required for the Machine Learning Engineer position?

A Bachelor’s degree in Computer Science, Electrical Engineering, Statistics, or a related field is required, with an advanced degree preferred.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

Clairo

Generates clinical evidence for trials

About Clairo

Clario specializes in generating clinical evidence for medical research by utilizing a comprehensive technology platform. Their services support various types of clinical trials, including decentralized, hybrid, and site-based trials. Clario's approach combines nearly 50 years of experience with a vast network of facilities across nine countries, allowing them to conduct a significant number of clinical trials and regulatory approvals. What sets Clario apart from competitors is their extensive expertise and the ability to provide a wide range of endpoint technologies, which enhances the quality of evidence produced. The company's goal is to empower partners in the healthcare industry to improve patient outcomes through reliable and rich clinical data.

London, United KingdomHeadquarters

1972Year Founded

$29.9MTotal Funding

GROWTH_EQUITY_VCCompany Stage

Biotechnology, HealthcareIndustries

5,001-10,000Employees

Benefits

Competitive and equitable total rewards package

Physical, mental and financial health and wellness

Flexible working approach

Risks

Increased competition from AI-driven platforms like Medable may threaten Clario's market share.

The IPO filing may lead to investor pressure for rapid financial returns, affecting strategy.

AI integration from ArtiQ poses data privacy and compliance risks, especially in the EU.

Differentiation

Clario offers a comprehensive endpoint technology platform for diverse clinical trial models.

The company has nearly 50 years of experience in clinical trial technology solutions.

Clario's global presence includes 30 facilities across North America, Europe, and Asia Pacific.

Upsides

Clario's IPO aims for a valuation of over $10 billion, indicating strong market confidence.

The FDA clearance of SpiroSphere® with wireless ECG enhances Clario's clinical trial capabilities.

Clario's acquisition of ArtiQ boosts its AI capabilities in respiratory clinical trials.

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