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 AI models using supervised and unsupervised learning techniques, working on projects involving natural language processing (NLP), computer vision, and predictive analytics.
The engineer will collaborate with data engineers to preprocess and transform large datasets for model training, ensuring optimized data pipelines for AI workflows.
Responsibilities also include optimizing model performance through experimentation with different architectures and algorithms, deploying models into production environments, and monitoring their performance.
The role requires continuous learning to stay updated with the latest advancements in AI research and trends.

Requirements:

A deep understanding of machine learning algorithms, including decision trees, neural networks, clustering, and reinforcement learning is required.
Proficiency in programming languages such as Python or R, and experience with machine learning frameworks like TensorFlow, PyTorch, Keras, and Scikit-learn is essential.
Hands-on experience with data preprocessing, feature selection, and engineering for AI models is necessary.
Experience in deploying AI models into production environments using cloud platforms (AWS, GCP, Azure) and containerization tools like Docker and Kubernetes is required.
Strong collaboration skills to work with cross-functional teams and the ability to communicate technical concepts to non-technical stakeholders are essential.
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 necessary.

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 included in the benefits package.
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 offered.
Life insurance and short-term/long-term disability coverage are part of the benefits.
Confidential counseling and support services through an Employee Assistance Program (EAP) are provided for personal and professional challenges.
Financial assistance for continuing education and professional development through tuition reimbursement is available.
Opportunities to participate in community service and volunteer activities are encouraged.
Employee recognition programs are in place to celebrate achievements and milestones.