Senior AI Engineer - Machine Learning

Job Description :

SG IT Consulting is looking for an experienced Senior AI Engineer to work with a leading banking client on building next-generation AI and Machine Learning solutions. If you're passionate about designing scalable AI systems, deploying production-grade ML models, and driving innovation, we'd love to hear from you!

Key Responsibilities :

• Architect, build, and deploy production-grade AI/ML solutions at scale.

• Design and optimize robust ML pipelines and infrastructure.

• Lead the implementation of MLOps practices, including CI/CD, model monitoring, retraining, and drift detection.

• Develop scalable AI solutions leveraging Machine Learning, Deep Learning, NLP, and Generative AI.

• Optimize model performance, reliability, latency, and cost for production environments.

• Collaborate with product owners, data scientists, platform teams, and business stakeholders to deliver AI-driven business outcomes.

• Lead technical design discussions, architecture reviews, and engineering best practices.

• Mentor and guide junior AI Engineers while fostering a culture of innovation and technical excellence.

Required Skills & Experience :

• 5-8+ years of experience in AI/ML Engineering with production-grade deployments.

• Strong expertise in Machine Learning, Deep Learning, NLP, and Generative AI.

• Hands-on experience building and deploying scalable ML systems in enterprise environments.

• Strong understanding of MLOps, ML pipelines, CI/CD, model monitoring, and automation.

• Experience designing scalable, secure, and maintainable AI architectures.

• Excellent problem-solving, communication, and stakeholder management skills.

Preferred :

• Experience in Banking, Financial Services, Insurance, or Healthcare domains.

• Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, Mathematics, Statistics, or a related field.

• Experience leading technical initiatives and mentoring engineering teams.

Why Join SG IT :

• Opportunity to work on cutting-edge AI, Machine Learning, NLP, and Generative AI initiatives.

• Be part of large-scale enterprise transformation projects with a leading banking client.

• Collaborate with highly skilled engineering teams and shape the future of AI-powered solutions.