AI Architect

3 days ago

Bengaluru, Karnataka, India V2Soft Full time ₹ 15,00,000 - ₹ 25,00,000 per year

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.

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