Machine Learning Engineer

ACI Infotech; San Francisco (CA); Hybrid; USD 140,000 - 160,000; Full time

Benefits offered by this job

Competitive salary

Health, dental, and vision insurance

401(k) with company match

Flexible PTO policy

Remote work options

Job summary

A technology company is looking for a Senior Machine Learning Engineer in San Francisco, CA. The position involves developing and deploying machine learning models to production and maintaining ML infrastructure. The ideal candidate has over 4 years of experience in ML engineering, strong Python skills, and experience with MLOps tools. This role offers competitive salary, health benefits, and flexible work options.

Qualifications

• 4+ years of experience in ML engineering.
• Strong Python skills.
• Experience deploying models to production.

Responsibilities

• Develop and deploy ML models to production.
• Build and maintain ML pipelines and infrastructure.
• Collaborate with data scientists to productionize models.
• Implement model monitoring and retraining systems.
• Optimize models for performance and cost.

Skills

Python

ML framework experience (PyTorch, TensorFlow)

MLOps tools (MLflow, Kubeflow)

Distributed computing

Job description

San Francisco, CA (Hybrid) Full time Senior Level

About This Role

Join our AI team to build and deploy production machine learning systems for enterprise clients. You\'ll work on everything from model development to MLOps infrastructure.

Responsibilities

• Develop and deploy ML models to production
• Build and maintain ML pipelines and infrastructure
• Collaborate with data scientists to productionize models
• Implement model monitoring and retraining systems
• Optimize models for performance and cost

Requirements

• 4+ years of experience in ML engineering
• Strong Python skills and ML framework experience (PyTorch, TensorFlow)
• Experience with MLOps tools (MLflow, Kubeflow, etc.)
• Understanding of distributed computing
• Experience deploying models to production

Nice to Have

• + Experience with LLMs and generative AI
• + Knowledge of feature stores
• + Background in computer vision or NLP

Apply for this position

• Competitive salary and equity
• Health, dental, and vision insurance
• 401(k) with company match
• Flexible PTO policy
• Remote work options