Aizen
Machine Learning Engineer
At Aizen, we're on a mission to make AI less complicated and more powerful. Our end-to-end platform streamlines the entire AI pipelinefrom data ingestion and orchestration to model training, deployment, and monitoringso businesses can focus on what really matters: building and scaling awesome AI solutions without the headache. We started Aizen because we were tired of clunky AI workflows and patchwork solutions that hinder AI adoption. Today, companies of all sizesfrom emerging startups to Fortune 500 enterprisestrust us to power their AI pipelines and scale effortlessly. By redefining how AI is built, deployed, and managed, we're making AI more accessible and impactful than ever. If you love building cool tech, solving real-world problems, and working with a world-class engineering team, we'd love to meet you. Aizen was founded by a team of serial entrepreneurs with deep expertise in data storage, distributed systems, and real-time AI architecture. With experience building and scaling tech companiessome leading to successful $1B+ exitsour team understands what it takes to create a best-in-class product and company. We've designed Aizen from the ground up to simplify the AI pipeline, optimize performance, and make AI truly accessible to enterprises of all sizes. As a Machine Learning Engineer at Aizen, you'll be instrumental in building and optimizing the AI pipelines that power our end-to-end AI platform. You'll work across the stack, from data ingestion and model training to real-time inference and monitoring, ensuring seamless AI deployment at scale. Whether you're an entry-level engineer eager to grow or a senior engineer ready to lead high-impact projects, this role offers the opportunity to tackle complex ML challenges, enhance automation, and help shape the future of AI infrastructure. Core Responsibilities AI Pipeline Development
Design, build, and optimize end-to-end AI pipelines for data ingestion, training, deployment, and real-time inference, ensuring seamless integration with MLOps and infrastructure systems. Model Training & Deployment
Implement training and fine-tuning workflows for ML models, optimizing for efficiency, scalability, and reproducibility across cloud, on-prem, and edge environments. Backend & API Development
Develop and integrate scalable backend services and APIs for model inference, batch processing, and real-time AI applications, collaborating with data and product teams. Observability & Model Monitoring
Build monitoring and logging tools to track model performance, drift, and latency, developing automated alerts and continuous retraining workflows to maintain AI accuracy. LLM Development & Optimization
Build and deploy LLM-based applications, integrating APIs from providers like OpenAI, Anthropic, and Cohere, and optimizing for fine-tuning, inference, and cost efficiency. Advanced AI & ML Development
Research and implement cutting-edge ML techniques, experimenting with LLM fine-tuning, embeddings, and model architectures to enhance AI performance and efficiency. Preferred Qualifications (Applicable to All Levels) Proficiency in Python and ML frameworks
Strong coding skills in Python, with experience using frameworks such as PyTorch, TensorFlow, or JAX for ML and DL applications. Cloud & MLOps Experience
Familiarity with cloud platforms like AWS, GCP, or Azure and experience deploying and managing ML models in production environments. Strong Problem-Solving & Collaboration Skills
Ability to tackle complex ML challenges, iterate quickly, and work closely with cross-functional teams including engineering, product, and data science. Understanding of MLOps & Model Deployment
Experience with CI/CD for ML, model serving, and monitoring, using tools like MLflow, Kubernetes, or Ray. Experience with LLMs & NLP (Nice to Have)
Knowledge of transformer-based models, fine-tuning techniques, and APIs from OpenAI, Anthropic, or Cohere is a plus. Entry-Level Qualifications 1+ Year(s) of Experience in AI/ML Development
Experience with training and deploying ML models, either in a professional setting, academic setting, research projects, or internships. Experimental Mindset & Eagerness to Learn
Comfortable iterating on models, testing different approaches, and staying up-to-date with state-of-the-art AI advancements. Senior-Level Qualifications 4+ Years of Experience in AI/ML Engineering
Proven ability to ship ML/AI capabilities to production, optimizing for scalability, latency, and reliability. Experience Building AI/ML Infra at Scale
Background in distributed systems, real-time inference, and MLOps automation for enterprise-level AI applications. Technical Leadership & Mentorship
Ability to drive architectural decisions, mentor junior engineers, and lead cross-functional initiatives to enhance AI capabilities at scale. Benefits At Aizen, we believe great work starts with taking care of our team. We offer competitive compensation, flexible work options, and comprehensive benefits to support you both personally and professionally. Competitive Compensation
We offer a competitive salary along with meaningful equity, so you can directly share in Aizen's success. Remote-Friendly Culture
Work from wherever you're most productive, with the option to collaborate in person at our office hubs. Flexible PTO
Take the time you need with our generous paid time off policybecause work-life balance matters. Comprehensive Health Plans
We provide medical, dental, and vision coverage for you and your family. Paid Parental Leave
Enjoy fully paid parental leave to spend time with your growing family. 401(k) Plan (U.S. Specific)
We help you plan for the future with a company-supported 401(k). Equal Opportunity Aizen is an equal opportunity employer committed to fostering a diverse and inclusive workplace. We welcome applicants of all backgrounds and do not discriminate based on race, gender, age, disability, or any other protected status.
At Aizen, we're on a mission to make AI less complicated and more powerful. Our end-to-end platform streamlines the entire AI pipelinefrom data ingestion and orchestration to model training, deployment, and monitoringso businesses can focus on what really matters: building and scaling awesome AI solutions without the headache. We started Aizen because we were tired of clunky AI workflows and patchwork solutions that hinder AI adoption. Today, companies of all sizesfrom emerging startups to Fortune 500 enterprisestrust us to power their AI pipelines and scale effortlessly. By redefining how AI is built, deployed, and managed, we're making AI more accessible and impactful than ever. If you love building cool tech, solving real-world problems, and working with a world-class engineering team, we'd love to meet you. Aizen was founded by a team of serial entrepreneurs with deep expertise in data storage, distributed systems, and real-time AI architecture. With experience building and scaling tech companiessome leading to successful $1B+ exitsour team understands what it takes to create a best-in-class product and company. We've designed Aizen from the ground up to simplify the AI pipeline, optimize performance, and make AI truly accessible to enterprises of all sizes. As a Machine Learning Engineer at Aizen, you'll be instrumental in building and optimizing the AI pipelines that power our end-to-end AI platform. You'll work across the stack, from data ingestion and model training to real-time inference and monitoring, ensuring seamless AI deployment at scale. Whether you're an entry-level engineer eager to grow or a senior engineer ready to lead high-impact projects, this role offers the opportunity to tackle complex ML challenges, enhance automation, and help shape the future of AI infrastructure. Core Responsibilities AI Pipeline Development
Design, build, and optimize end-to-end AI pipelines for data ingestion, training, deployment, and real-time inference, ensuring seamless integration with MLOps and infrastructure systems. Model Training & Deployment
Implement training and fine-tuning workflows for ML models, optimizing for efficiency, scalability, and reproducibility across cloud, on-prem, and edge environments. Backend & API Development
Develop and integrate scalable backend services and APIs for model inference, batch processing, and real-time AI applications, collaborating with data and product teams. Observability & Model Monitoring
Build monitoring and logging tools to track model performance, drift, and latency, developing automated alerts and continuous retraining workflows to maintain AI accuracy. LLM Development & Optimization
Build and deploy LLM-based applications, integrating APIs from providers like OpenAI, Anthropic, and Cohere, and optimizing for fine-tuning, inference, and cost efficiency. Advanced AI & ML Development
Research and implement cutting-edge ML techniques, experimenting with LLM fine-tuning, embeddings, and model architectures to enhance AI performance and efficiency. Preferred Qualifications (Applicable to All Levels) Proficiency in Python and ML frameworks
Strong coding skills in Python, with experience using frameworks such as PyTorch, TensorFlow, or JAX for ML and DL applications. Cloud & MLOps Experience
Familiarity with cloud platforms like AWS, GCP, or Azure and experience deploying and managing ML models in production environments. Strong Problem-Solving & Collaboration Skills
Ability to tackle complex ML challenges, iterate quickly, and work closely with cross-functional teams including engineering, product, and data science. Understanding of MLOps & Model Deployment
Experience with CI/CD for ML, model serving, and monitoring, using tools like MLflow, Kubernetes, or Ray. Experience with LLMs & NLP (Nice to Have)
Knowledge of transformer-based models, fine-tuning techniques, and APIs from OpenAI, Anthropic, or Cohere is a plus. Entry-Level Qualifications 1+ Year(s) of Experience in AI/ML Development
Experience with training and deploying ML models, either in a professional setting, academic setting, research projects, or internships. Experimental Mindset & Eagerness to Learn
Comfortable iterating on models, testing different approaches, and staying up-to-date with state-of-the-art AI advancements. Senior-Level Qualifications 4+ Years of Experience in AI/ML Engineering
Proven ability to ship ML/AI capabilities to production, optimizing for scalability, latency, and reliability. Experience Building AI/ML Infra at Scale
Background in distributed systems, real-time inference, and MLOps automation for enterprise-level AI applications. Technical Leadership & Mentorship
Ability to drive architectural decisions, mentor junior engineers, and lead cross-functional initiatives to enhance AI capabilities at scale. Benefits At Aizen, we believe great work starts with taking care of our team. We offer competitive compensation, flexible work options, and comprehensive benefits to support you both personally and professionally. Competitive Compensation
We offer a competitive salary along with meaningful equity, so you can directly share in Aizen's success. Remote-Friendly Culture
Work from wherever you're most productive, with the option to collaborate in person at our office hubs. Flexible PTO
Take the time you need with our generous paid time off policybecause work-life balance matters. Comprehensive Health Plans
We provide medical, dental, and vision coverage for you and your family. Paid Parental Leave
Enjoy fully paid parental leave to spend time with your growing family. 401(k) Plan (U.S. Specific)
We help you plan for the future with a company-supported 401(k). Equal Opportunity Aizen is an equal opportunity employer committed to fostering a diverse and inclusive workplace. We welcome applicants of all backgrounds and do not discriminate based on race, gender, age, disability, or any other protected status.