Job Summary:
Ikigai is a company that unlocks the power of generative AI for tabular data. As an AI/ML Engineer at Ikigai Labs, you will be responsible for optimizing and deploying machine learning solutions to enhance performance and scalability, while collaborating with cross-functional teams to integrate AI and ML solutions that drive business value.
Responsibilities:
• Develop and deploy machine learning models for optimal performance and scalability.
• Build tools and services to enhance the ML platform, utilizing technologies like Kubernetes, Helm, and EKS.
• Apply a strong understanding of deep learning architectures (CNNs, RNNs, etc.) to solve complex problems.
• Stay abreast of recent ML and deep learning literature and adapt findings to real-world applications.
• Work with cross-functional teams to integrate AI and ML solutions that drive business value.
• Manage large datasets and build ML pipelines for data processing and training.
• Design and develop scalable data integration processes.
• Develop an on-demand predictive modeling platform using gRPC.
• Utilize Kubernetes for managing Docker containers and various cloud services (AWS, Azure) to solve cloud-native challenges.
• Provide occasional support to our customer success team.
Qualifications:
Required:
• Bachelor’s degree in Computer Science, Math, Engineering, or related field (Master's preferred) with 0-5+ years of experience (depending on the level)
• 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 (Scikit Learn, Keras, TensorFlow, PyTorch, Theano, DyLib).
• Proficiency in Python, AWS services, and ETL/ELT pipelines.
• Understanding of key software design principles, design patterns, and testing best practices.
• 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.
Preferred:
• Experience with big data and distributed computing (Hadoop, MapReduce, Spark, Storm).
• Experience with Kubernetes and/or EKS is a plus.
Company:
Built upon years of MIT research, Ikigai is a generative AI platform for tabular and time series data. Founded in 2019, the company is headquartered in San Francisco, USA, with a team of 51-200 employees. The company is currently Growth Stage.