AI Architect

Job Description :

Key Responsibilities :

1. Solution Design :

- Collaborate with cross-functional teams to define AI use cases, gather requirements, and architect end-to-end AI solutions that align with business goals.

2. Algorithm Development :

- Develop and implement machine learning and deep learning algorithms, models, and frameworks to solve intricate problems and enhance system capabilities.

3. Data Processing :

- Oversee data collection, preprocessing, and feature engineering to ensure high-quality input for AI models.

4. Model Training and Evaluation :

- Train and fine-tune machine learning models using large datasets and rigorously evaluate model performance using appropriate metrics.

5. Infrastructure and Tools :

- Design the AI infrastructure, choose suitable frameworks, libraries, and tools, and ensure scalability, reliability, and efficiency of AI systems.

6. Prototyping and POCs :

- Build rapid prototypes and proof of concepts (POCs) to demonstrate the feasibility and potential of AI solutions.

7. Technical Leadership :

- Provide technical guidance, mentorship, and support to AI development teams, fostering a culture of innovation and collaboration.

8. Research and Innovation :

- Stay abreast of AI trends, emerging technologies, and best practices, and contribute to the company's AI strategy by proposing innovative solutions.

9. Deployment and Integration :

- Lead the deployment of AI solutions into production environments, integrating them with existing systems and workflows.

10. Performance Optimization :

- Continuously optimize AI solutions for speed, efficiency, and accuracy, and address any bottlenecks or issues.

11. Documentation :

- Create comprehensive technical documentation, including design specifications, architecture diagrams, and code comments.

Qualifications and Requirements :

- Bachelor's or Master's Degree in Computer Science, Engineering, or a related field. A Ph.D. in AI or Machine Learning is a plus.

- Proven experience as an AI Engineer, Machine Learning Engineer, or AI Architect, with a track record of successful AI solution design and implementation.

- Streamlit - Python

- Generative AI

- HuggingFace, OpenAi and any Custom Model development experience

- Strong programming skills in languages such as Python, Java, or C++, and proficiency in AI libraries and frameworks (TensorFlow, PyTorch, scikit-learn, etc.).

- In-depth knowledge of machine learning techniques, algorithms, and model evaluation.

- Familiarity with big data technologies, cloud platforms, and distributed computing.

- Excellent problem-solving abilities and analytical thinking.

- Effective communication skills to collaborate with cross-functional teams and present technical concepts to both technical and non-technical stakeholders.

- Demonstrated ability to lead technical projects, drive innovation, and mentor junior team members.

Skills

Artificial Intelligence, AI Architecture, Deep Learning, Machine Learning, AI Infrastructure, Python, Generative AI, Tensorflow, PyTorch, Big Data