AI/ML Engineer

2 days ago

San Mateo, California, United States Ikigai Labs, Inc. Full time
About Ikigai Labs, Inc.

We are a cutting-edge technology company that unlocks the power of generative AI for tabular data. Our platform enables business users to connect disparate data, leverage no-code AI/ML, and build enterprise-wide AI apps in just a few clicks.

Job Title: AI/ML Engineer

We are seeking a highly skilled AI/ML Engineer to join our high-performing team responsible for optimizing and deploying ML solutions to maximize performance and scalability.

Key Responsibilities:
  1. Develop and deploy machine learning models for optimal performance and scalability.
  2. Build tools and services to enhance the ML platform, utilizing technologies like Kubernetes, Helm, and EKS.
  3. Apply a strong understanding of deep learning architectures (CNNs, RNNs, etc.) to solve complex problems.
  4. Stay abreast of recent ML and deep learning literature and adapt findings to real-world applications.
  5. Work with cross-functional teams to integrate AI and ML solutions that drive business value.
  6. Manage large datasets and build ML pipelines for data processing and training.
  7. Design and develop scalable data integration processes.
  8. Develop an on-demand predictive modeling platform using gRPC.
  9. Utilize Kubernetes for managing Docker containers and various cloud services (AWS, Azure) to solve cloud-native challenges.
  10. Provide occasional support to our customer success team.
Requirements:
  • 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 (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.
  • 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.
What We Offer:

We offer a dynamic and collaborative work environment, competitive compensation, and opportunities for growth and development.

We are an equal opportunity employer and welcome applications from diverse candidates.

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