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 AI Engineer will work closely with cross-functional teams to align AI models with business needs and 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 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 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.
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 included in the paid time off policy.
Flexible work schedules and telecommuting options promote work-life balance.
Opportunities for training, certification reimbursement, and career advancement programs support professional development.
Access to wellness programs, including gym memberships, health screenings, and mental health resources is available.
Life insurance and short-term/long-term disability coverage are part of the benefits package.
Confidential counseling and support services for personal and professional challenges are offered through the Employee Assistance Program (EAP).
Financial assistance for continuing education and professional development is provided through tuition reimbursement.
Opportunities to participate in community service and volunteer activities are encouraged.
Employee recognition programs celebrate achievements and milestones.