Responsibilities

• Define and refine AI/ML architectures on major cloud platforms (AWS, Azure, OCI), ensuring scalability, security, and operational efficiency.
• Collaborate with clients and stakeholders to understand business challenges and advise on high-impact AI/ML and Generative AI use cases.
• Lead the design, development, and implementation of AI/ML and Generative AI solutions, emphasizing MLOps and LLMOps practices for efficient deployments.
• Incorporate Responsible AI practices, ensuring fairness, transparency, and ethical standards in all AI models.
• Advocate for Explainable AI techniques to enhance transparency and interpretability in AI/ML and Generative AI solutions.
• Demonstrate deep expertise in AI/ML and Generative AI model architecture, including techniques for fine-tuning and optimizing performance.
• Collaborate with cross-functional teams to translate business requirements into production-ready AI solutions, ensuring seamless integration with existing systems.
• Oversee technical project execution, including model training, optimization, and deployment pipelines.
• Respond to RFPs and lead the execution of Proof of Concepts (PoCs) and Minimum Viable Products (MVPs).
• Stay updated on emerging AI trends, tools, and technologies, guiding the team in adopting best practices.
• Mentor and coach team members, sharing best practices in AI/ML methodologies and operational frameworks.

Mandatory Skills

• 12 to 15 years of experience in programming and solution development within the IT industry.
• 5+ years of hands-on experience in core AI/ML development, including advanced techniques such as deep learning, RNNs, GANs, VAEs, and Transformers.
• Proficiency in leading ML frameworks and libraries, such as TensorFlow, PyTorch, Keras, and Scikit-Learn.
• 5+ years of experience architecting AI/ML solutions on cloud platforms (AWS, Azure, OCI).
• Strong expertise in Generative AI technologies, including LLMs, prompt engineering, and APIs (OpenAI, Hugging Face).
• Hands-on experience delivering at least one significant Generative AI use case in real-world production environments.
• Familiarity with AI algorithms and techniques, including NLP, computer vision, and cognitive services.

Good to Have Skills

• Master’s degree or certifications in AI/ML.
• Prior experience in the Banking or Financial Services domain with industry-specific AI/ML applications.
• Deep understanding of Responsible AI and Explainable AI frameworks.
• Excellent communication and presentation skills, with the ability to convey complex AI concepts to diverse stakeholders.
• Strong problem-solving skills and a proven ability to address complex AI/ML challenges.

Self Test Questions

If this role interests you, ask yourself the below question to check if you meet the minimum qualifications to apply.

1. Do I have at least 5 years of hands-on experience in developing AI/ML solutions, including deep learning and generative AI, with expertise in frameworks like TensorFlow, PyTorch, or Scikit-Learn?"

2. Am I proficient in architecting and deploying AI solutions on cloud platforms such as AWS, Azure, or OCI, with a minimum of 5 years of relevant experience?"

3. Have I successfully designed and implemented at least one real-world generative AI use case, showcasing expertise in technologies like LLMs, GANs, or transformers?"

4. Can I confidently demonstrate knowledge of responsible AI practices and explainable AI techniques to ensure ethical, transparent, and interpretable AI/ML solutions?

5. Do I have prior experience working in the banking or financial services domain, applying AI/ML technologies to address industry-specific challenges?

Career Level - IC4