Senior AI/ML Engineer — Remote, MLOps & AI Systems

Kavaliro; Town of Florida (NY); On-site; USD 140,000 - 200,000; Full time

Job summary

Kavaliro is seeking a Senior AI/ML Engineer to lead the design, development, deployment, and optimization of advanced ML/AI solutions across the full lifecycle, from problem framing and data ingestion to model deployment and monitoring.

You will collaborate with engineering, analytics, product, and leadership to build scalable AI systems that drive business outcomes, applying MLOps, CI/CD, and cloud-native practices.

Qualifications

• Bachelor's degree in Computer Science, AI, Data Science, Statistics, Mathematics, Engineering, or a related technical discipline.
• 5+ years of professional experience in machine learning, AI engineering, software engineering, or data science with production deployments.
• 3+ years of experience building and deploying machine learning solutions in commercial environments.
• Advanced Python programming skills with experience developing, training, testing, and deploying machine learning models.
• Strong SQL expertise for data extraction, transformation, and analysis.
• Experience building end-to-end ML systems from data ingestion through production serving.
• Strong understanding of supervised, unsupervised, and deep learning methodologies.
• Experience deploying solutions within cloud environments such as AWS, Azure, or Google Cloud Platform.
• Familiarity with modern data platforms including Snowflake, BigQuery, Redshift, SQL Server, or equivalent technologies.
• Demonstrated experience owning AI solutions in production environments including monitoring, optimization, and operational support.
• Strong problem-solving, systems-thinking, and analytical skills.
• Excellent communication skills with the ability to explain technical concepts to both technical and non-technical audiences.
• Ability to manage multiple priorities in a fast-paced environment.
• Must be available to start onsite and travel occasionally as required.

Responsibilities

• Design, build, train, evaluate, and deploy machine learning and AI solutions for complex business challenges.
• Translate ambiguous requirements into scalable AI‑driven systems and technical architectures.
• Develop predictive models, classification systems, recommendation engines, personalization frameworks, and generative AI applications.
• Fine‑tune, evaluate, and optimize Large Language Models (LLMs) and other advanced AI architectures as appropriate.
• Build robust, scalable machine learning pipelines from data ingestion through production deployment.
• Implement CI/CD processes, automated testing, model validation, monitoring, and retraining workflows.
• Develop production‑ready APIs and services that integrate AI capabilities into enterprise applications.
• Maintain model lifecycle management, performance monitoring, and continuous optimization processes.
• Ensure systems meet security, scalability, reliability, and performance standards.
• Document architectures, models, deployment procedures, and engineering standards to support maintainability and knowledge sharing.
• Collaborate with cross‑functional stakeholders to communicate technical solutions and recommendations.
• Stay current with emerging AI technologies, frameworks, and industry best practices.
• Contribute to AI strategy, platform selection, and architectural decision‑making.

Skills

Python

SQL

ML deployment

End-to-end ML systems

Communication

Problem solving

Systems thinking

Team collaboration

Education

Bachelor's degree in Computer Science, AI, Data Science, Statistics, Mathematics, Engineering

Master's degree or higher in Computer Science, AI, ML, Statistics, Mathematics, or related field

Tools

AWS

Azure

Google Cloud Platform

Snowflake

BigQuery

Redshift

MLflow

Airflow

SageMaker

Kubeflow

Databricks

Job description

Kavaliro is seeking a Senior AI/ML Engineer to lead the design, development, deployment, and optimization of advanced ML/AI solutions across the full lifecycle, from problem framing and data ingestion to model deployment and monitoring.

You will collaborate with engineering, analytics, product, and leadership to build scalable AI systems that drive business outcomes, applying MLOps, CI/CD, and cloud-native practices.