Machine Learning Engineer at adidevtechnologies

Setup: Hybrid
Location: Seattle, Washington
Type: Full-time

Description

Adidev Technologies Inc. is seeking an experienced Machine Learning Engineer to deploy advanced machine learning models, with a strong focus on Generative AI. The role involves crafting and refining AI-driven solutions, transforming innovative ideas into valuable features and services to strengthen market leadership and technological advancement.

Required Skills

machine learning
deep learning
NLP
computer vision
reinforcement learning
Generative AI models
GANs
Transformers
SQL/NoSQL databases
data visualization tools
version control systems
algorithmic complexity
data structure optimization
Python
TensorFlow
PyTorch
scikit-learn
cloud computing
big data platforms
AWS
Azure
GCP
containerization
Docker
Kubernetes
CI/CD pipelines
MLOps practices

Additional Information

Required Previous Experiences: Demonstrable experience in machine learning, deep learning, NLP, computer vision, reinforcement learning, and/or other AI domains.
Demonstrable experience with Generative AI models and frameworks, such as GANs or Transformers, applied in industry settings.
Practical experience with SQL/NoSQL databases, data visualization tools, and version control systems.
Strong foundational understanding of algorithmic complexity and data structure optimization.
Excellent problem-solving, collaboration, and communication abilities.
Develop and implement cutting-edge machine learning models, with a particular focus on Generative AI applications such as text generation, image synthesis, and creative AI.
Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions.
Stay ahead of AI research, especially in Generative AI, applying the latest findings and techniques to drive innovation within our projects.
Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn).
Strong background in cloud computing and big data platforms (AWS, Azure, GCP), with hands-on experience in cloud-based ML services and serverless architectures.
Familiarity with DevOps for AI, including containerization (Docker, Kubernetes), CI/CD pipelines, and MLOps practices.
Facilitate knowledge sharing and best practices in AI/ML, particularly focusing on Generative AI, within the team.
Ensure all AI implementations are compliant with ethical guidelines and data privacy standards.