Ai Architect

**AI Architect**

**A 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.

Pay: ₹4,000,000.00 - ₹4,200,000.00 per year

**Benefits**:

- Health insurance
- Leave encashment
- Paid sick time
- Paid time off
- Provident Fund

Application Question(s):

- How many years of experience in Python, Java, or C++
- How many years of experience in HuggingFace, OpenAi and any Custom Model development experience
- How many years of experience in Generative AI
- Proven experience as an AI Engineer, Machine Learning Engineer, or AI Architect, with a track record of successful AI solution design and implementation.
- How many years of experience in TensorFlow, PyTorch, scikit-learn

**Experience**:

- Architect: 2 years (required)
- AI/ML: 9 years (required)

Work Location: In person

**Speak with the employer**
+91 7780696283