Company Description
Ikigai Labs specializes in AI solutions for tabular and time series data, leveraging deep research and enterprise expertise to enhance decision-making and operational efficiency in businesses. Our platform integrates AI-powered data harmonization, forecasting, dynamic learning, and planning.
Job Description
As an AI/ML Engineer at Ikigai Labs, you will be integral to our team, focusing on optimizing and deploying machine learning solutions to enhance performance and scalability. You will engage in building productivity tools, developing model architectures, and adapting cutting-edge research to practical applications.
Key Responsibilities
- ML Optimization and Deployment: Develop and deploy machine learning models for optimal performance.
- Productivity Tools Development: Build tools and services to enhance the ML platform using technologies like Kubernetes and Helm.
- Model Architecture: Design and apply deep learning architectures such as CNNs and RNNs.
- Research Adaptation: Keep up with recent ML literature and adapt findings to real-world applications.
- Collaborative Development: Work with cross-functional teams to integrate AI solutions that drive business value.
- Data Handling: Manage large datasets and build ML pipelines for data processing and training.
- ETL/ELT Processes: Design scalable data integration processes.
- Predictive Modeling Platform: Develop predictive modeling platforms using technologies like gRPC.
- Cloud and Containerization: Utilize Kubernetes for Docker container management and various cloud services.
- Stakeholder Management: Support customer success teams occasionally.
Technologies We Use
- Languages: Python3, C++, Rust, SQL
- Frameworks: PyTorch, TensorFlow, Docker
- Databases: Postgres, Elasticsearch, DynamoDB, RDS
- Cloud: Kubernetes, Helm, EKS, Terraform, AWS
- Data Engineering: Apache Arrow, Dremio, Ray
- Miscellaneous: Git, Jupyterhub, Apache Superset, Plotly Dash
Qualifications
- Bachelor’s degree in Computer Science, Math, Engineering, or related field (Master's preferred) with 2+ years of experience.
- Strong understanding of data structures, data modeling, algorithms, and software architecture.
- Proficient in probability, statistics, and algorithm development.
- Hands-on experience with ML and deep learning libraries.
- (Bonus) Experience with big data and distributed computing.
- Proficiency in Python, AWS services, and ETL/ELT pipelines.
- Understanding of key software design principles, design patterns, and testing best practices.
- Experience with Kubernetes and/or EKS is a plus.
- Ability to learn quickly in a fast-paced, agile environment.
- Excellent organizational, time management, and communication skills.
- Willingness to engage in pair programming, share knowledge, and provide and receive constructive feedback.
- Strong problem-solving skills and the ability to take initiative.
Equal Opportunity Employment
Ikigai Labs is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants. We value diversity and are dedicated to fostering an inclusive environment for all employees.
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