Posted:1 week ago|
Platform:
On-site
Full Time
• Lead end to end AI product development, from ideation and design through deployment and continuous improvement.
• Architect, develop, and integrate robust AI/ML models into enterprise systems, ensuring scalability, performance, and maintainability.
• Collaborate with interdisciplinary teams including product managers, engineers, and data scientists to define requirements and deliver impactful AI solutions.
• Mentor and guide junior engineers, fostering a culture of innovation, high performance, and continuous learning.
• Evaluate, select, and advocate for best-in-class AI tools, libraries, and frameworks.
• Maintain comprehensive documentation of models, algorithms, and processes.
• Stay at the forefront of AI advancements and proactively introduce relevant innovations into products and workflows.
• Ensure project milestone delivery, quality standards, and successful integration with ITSS and client infrastructures.
• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field.
• 4 to 5 years’ experience in enterprise-grade AI/ML development, preferably in the fintech or banking sector.
• Demonstrated track record of delivering at least one full cycle of an AI-powered product from ideation to production rollout.
• Proficiency in Python and/or Java, with hands-on experience in AI/ML frameworks such as TensorFlow, PyTorch, and scikit-learn.
• Strong knowledge of data preprocessing, feature engineering, and model evaluation techniques.
• Experience with cloud platforms such as AWS, Azure, or GCP for AI product deployment.
• Working knowledge of RESTful APIs, integration methodologies, and ML operations in enterprise systems. • Proven analytical, problem-solving, and project management skills.
• Excellent communication, teamwork, and leadership abilities.
• Experience in deploying AI in banking, digital payments, or core financial systems.
• Familiarity with natural language processing, computer vision, and/or advanced analytics.
• Exposure to agile methodologies and DevOps or MLOps practices.
• Passion for mentoring and building talented technical teams.
• Global Impact: Work with industry leaders across continents. • Culture of Growth: Learning, upskilling, and innovative teamwork are core values. • Technology-Driven: Join a future-ready, rapidly growing company consistently recognized for digital excellence. Interested applicants should submit a detailed CV and a portfolio of AI project work if available, highlighting enterprise-level achievements.
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