AIML Architect
1 week ago
Position Overview
We are looking for an experienced AI/ML Senior Consultant or AI/ML Senior Architect to take the lead on our Data Science and AI projects. As a key player, you will create and implement state-of-the-art AI/ML solutions that bring value to the business while managing a team of talented data professionals and engineers. Your strategic vision and technical skills will be crucial in shaping our AI/ML strategy for successful execution.
Key Responsibilities
- Architectural Design: Develop scalable, robust, and secure AI/ML architectures that meet complex business needs by following industry standards and best practices.
- Project Management: Lead AI/ML projects from start to finish, ensuring timely delivery and alignment with business goals.
- Team Leadership: Inspire and guide a high-performing team of data scientists, ML engineers, and analysts, promoting a culture of collaboration, innovation, and continuous learning.
- Stakeholder Collaboration: Work with different stakeholders to understand their requirements and translate them into actionable plans.
- Technology Innovation: Keep up-to-date with the latest AI/ML technologies to identify implementation opportunities and improve our capabilities.
- Performance Optimization: Monitor and optimize the performance, scalability, and security of AI/ML models and systems.
- Documentation and Reporting: Maintain thorough documentation of architectures, processes, models, and best practices, and communicate technical concepts effectively to senior management and stakeholders.
Requirements
- Technical Expertise:
- Proficiency in programming languages like Python (knowledge of C/C++/Java is a plus)
- Extensive experience in Machine Learning frameworks, Deep Learning, and NLP (e.g., TensorFlow, PyTorch, scikit-learn)
- Hands-on experience with deep learning frameworks, demonstrated by released code (e.g., GitHub repositories, Version control)
- Domain experience in Finance, BFSI, Regulatory compliance, Risk, and Credit Risk
- Understanding of data modeling, data architecture, and ETL processes
- Familiarity with cloud platforms (AWS, Azure, Google Cloud) and containerization technologies (Docker, Kubernetes)
Preferred Qualifications
- - Certifications in AI/ML
- Industry experience in Finance, healthcare, retail, or technology sectors
- Strong soft skills including communication, presentation, and interpersonal skills
Benefits
Company Standard Benefits
Join us and contribute to groundbreaking projects in Machine Learning, NLP, Gen AI, Python, AWS/Azure, and more.
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