Job Title: -AI ML Developer 

Location: -Wilmington DE (Onsite)

Contract

Banking and Finance exp is mandate

Job Responsibilities

• Lead a team of machine learning engineers, ensuring the delivery and support of high-quality ML solutions.
• Collaborate with product teams to deliver tailored AI/ML-driven technology solutions.
• Architect and implement robust, cloud-native MLOps pipelines and distributed AI/ML infrastructure (AWS, Azure, GCP) for scalable, efficient deployment and monitoring of models in production.
• Direct the development and deployment of advanced generative AI solutions (LLMs, RAG, NLP, AI Agents) and classical ML models, integrating state-of-the-art techniques into the ML platform to create innovative fintech products.
• Develop advanced monitoring and management tools to ensure high reliability and scalability of AI/ML systems.
• Optimize system performance by identifying and resolving inefficiencies and bottlenecks.
• Drive the adoption and use of AI/ML platform tools across teams.
• Define and enforce robust AI governance and Responsible AI frameworks, ensuring all solutions are fair, transparent, and compliant with regulatory requirements.
• Oversee the full AI/ML product lifecycle, from planning and execution to future development, adapting and developing new products and methodologies to meet business goals.
• Mentor and develop a team of AI/ML professionals, promoting a culture of excellence, continuous learning, and professional growth.

Required Qualifications, Capabilities, and Skills

• Bachelor’s degree or PhD or Master’s in Computer Science, Engineering, Data Science, or related field
• 5+ years of experience in Machine Learning and Artificial Intelligence engineering.
• Extensive hands-on technical experience with AI/ML frameworks (TensorFlow, PyTorch, JAX, scikit-learn).
• Deep expertise in cloud engineering (AWS, Azure, GCP) and distributed microservice architecture.
• Experience with Kubernetes ecosystem, including EKS, Helm, and custom operators.
• Background in high performance computing and ML hardware acceleration (GPU, TPU, RDMA).
• Strategic thinker with the ability to drive technical vision for business impact.
• Demonstrated leadership working effectively with engineers, data scientists, and ML practitioners.

Preferred Qualifications, Capabilities, and Skills

• Strong coding skills and experience developing large-scale AI/ML systems.
• Proven track record contributing to and optimizing open-source ML frameworks.
• Recognized thought leader in the field of machine learning.
• Hands-on experience with generative AI and LLMs in production settings.
• Cloud AWS Machine Learning Certification or any GenAI Certifications