Description:

The AI Engineer (The AI Architect) will design, develop, and deploy AI models and solutions that transform industries.
This role involves collaborating with data scientists, software developers, and product teams to integrate advanced machine learning models into products and services.
Key responsibilities include developing and deploying machine learning and AI models using frameworks like TensorFlow, PyTorch, or Scikit-learn.
The engineer will collaborate with data engineers and scientists to preprocess and transform large datasets for model training.
They will optimize model performance by experimenting with different architectures, algorithms, and hyperparameters.
The role requires deploying AI models into production environments and ensuring they are scalable and efficient.
Continuous monitoring of deployed models is necessary to detect model drift and update them as needed.
The engineer will work closely with cross-functional teams to align AI models with product goals and business needs.
Staying up-to-date with the latest advancements in machine learning and AI algorithms is essential.

Requirements:

A deep understanding of machine learning algorithms, including decision trees, neural networks, clustering, and reinforcement learning is required.
Proficiency in programming languages like Python or R, and experience with machine learning frameworks such as TensorFlow, PyTorch, Keras, and Scikit-learn is necessary.
Hands-on experience with data preprocessing, feature selection, and engineering for AI models is essential.
Experience deploying AI models into production environments using cloud platforms (AWS, GCP, Azure) and containerization tools like Docker and Kubernetes is required.
Strong collaboration skills and the ability to communicate technical concepts to non-technical stakeholders are necessary.
A Bachelor’s or Master’s degree in Computer Science, Data Science, AI, Machine Learning, or a related field is required, with equivalent experience in AI development being highly valued.
A minimum of 3 years of experience in AI engineering or machine learning, with a proven track record of developing and deploying AI models in real-world applications is required.
Experience with cloud-based AI services (AWS SageMaker, Google AI Platform, Azure ML) is highly desirable.

Comprehensive medical, dental, and vision insurance plans with low co-pays and premiums are provided.
Competitive vacation, sick leave, and 20 paid holidays per year are offered.
Flexible work schedules and telecommuting options promote work-life balance.
Opportunities for training, certification reimbursement, and career advancement programs are available for professional development.
Access to wellness programs, including gym memberships, health screenings, and mental health resources is provided.
Life insurance and short-term/long-term disability coverage are included.
Confidential counseling and support services for personal and professional challenges are available through the Employee Assistance Program (EAP).
Financial assistance for continuing education and professional development is offered through tuition reimbursement.
Opportunities to participate in community service and volunteer activities are encouraged.
Employee recognition programs celebrate achievements and milestones.