Senior Machine Learning Developer, H2O.ai
Consultant, 12 Month Fixed Term Contract
2-3 days a week in office
Open-source AI cloud platform
Be an early applicant
Open-source AI cloud platform
201-500 employees
Be an early applicant
2-3 days a week in office
201-500 employees
Company mission
To democratize AI for everyone.
Role
Who you are
- Proficiency in Python: Expert-level proficiency in Python and strong command of SQL. Working knowledge of C/C++ or Bash is a plus
- ML Frameworks: Deep experience with key ML frameworks: TensorFlow, PyTorch, Scikit-learn, H2O3, and Driverless AI
- Data Libraries: Extensive, hands-on experience with core data processing libraries: NumPy, Pandas, and Matplotlib
- Application Development: Proven experience building applications and APIs using modern frameworks (e.g., Flask or FastAPI)
- Containerization & Orchestration: Strong practical experience with Docker and foundational knowledge of Kubernetes for deployment
- Cloud Platforms: Experience deploying and operating ML workloads on at least one major cloud provider (e.g., AWS, GCP, or Azure)
- Workflow Tools: Experience with ML workflow orchestration tools such as Airflow, Kubeflow, or MLflow
- Software Practices: Strong software development practices, including Git, unit testing, code review, and experience with microservices architecture
- Experience working with large language models (LLMs) or multimodal data (text, images, time-series) in an applied setting, including experience with H2OGPTe
- Familiarity with model serving patterns, auto-scaling, and resource management in a production context
- Experience with performance profiling and basic model optimization techniques
- Education & Experience: Master's degree in Computer Science, Engineering, or a related technical field, plus 4+ years of professional experience building and deploying production software/ML systems
- Problem-Solving: Strong debugging, troubleshooting, and analytical skills for diagnosing and resolving production system issues
- Collaboration: Proven ability to collaborate effectively with data scientists and software engineers to transition experimental models into reliable production code
- Delivery Focus: Track record of driving projects to completion and meeting strict performance requirements
What the job involves
- We are seeking a Senior ML Developer Consultant with strong software engineering skills and practical experience taking Machine Learning models to production
- This role focuses on building, deploying, and optimizing robust ML-powered features and applications, requiring a hands-on approach to MLOps, system integration, and performance tuning
- The ideal candidate will be a high-contributing individual who can bridge the gap between Data Science prototypes and reliable, scalable production systems
- End-to-End Pipeline Implementation: Implement and maintain end-to-end Machine Learning pipelines, focusing on robustness from data validation through to serving
- Model Deployment: Deploy, integrate, and maintain production ML models using H2O MLOps framework, ensuring high reliability, low latency, and efficient performance
- Feature Integration: Develop efficient data processing pipelines and integrate models with existing data architectures (data warehouses, feature stores)
- Performance Optimization: Optimize model inference and system throughput for specific application requirements
- Application Development: Build Python-based APIs and microservices for real-time and batch model prediction
- MLOps Practices: Implement and enforce MLOps best practices, including continuous integration/continuous deployment (CI/CD), automated testing, and proper model versioning
- Monitoring: Set up and maintain monitoring for deployed models, tracking performance, data drift, and system health
- Infrastructure Collaboration: Work closely with infrastructure and platform teams to ensure optimal resource allocation and scalability on cloud platforms
- This is a one year contract opportunity
Our take
Dedicated to making the world of AI more accessible to everyone, H2O.ai provides a platform that supports the making and operating of AI for businesses. The platform boasts a range of capabilities; from automated machine learning and no-code deep learning, to AI-powered data labelling and extraction; as well as its most recently added "h2oGPT" that supplies enterprise generative AI.
With productivity, organisation and data analysis among the core parts to any business' success, AI and machine learning getting more and more popular - as they are able to outpace humans' ability to absorb, interpret, and make complex decisions quickly. It is no surprise then that H2O.ai has a grand roster of clients including GlaxoSmithKline, Capital One, and Paypal. It is also well-funded, and with such a comprehensive set of offerings it is in a great place to secure further success.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 8 rounds)
Nov 2021
$100m
SERIES E
Aug 2019
$72.5m
SERIES D
Total funding: $251.1m
Company benefits
- Remote-friendly culture
- Flexible working environment
- Career growth
Company HQ
Mountain View, CA
Leadership
Sri Satish Ambati
(Co-Founder & CEO)11 years experience in the Software and Engineering field prior to H2O.ai. Worked as Director of Engineering and Principal Engineer of DataStax.
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