Partner with stakeholders to translate complex customer challenges into robust technical designs and AI strategies
Architect, build, and deploy high-performance AI/ML platforms and tools, ensuring scalability, reliability, and security
Lead the development, evaluation, fine-tuning, and monitoring of production-grade AI/ML models (including LLMs and RAG architectures)
Design and standardize CI/CD pipelines (GitHub Actions) and Infrastructure as Code (Terraform) to ensure reproducible and automated deployments
Proactively monitor system health, lead incident response for critical AI systems, and drive architectural refactoring to remove bottlenecks
Mentor L1/L2 engineers, conduct code reviews, and foster a culture of engineering excellence and best practices
Evaluate emerging AI technologies/vendors and prototype new approaches to keep the organization at the cutting edge of the industry.

Requirements

5+ years of experience as an AI/ML Engineer, Data Scientist, or Software Engineer
Bachelor's degree in Computer Science, Software Engineering, or related field; a Master’s or PhD in AI/ML is preferred
Proven track record of taking AI solutions from concept to high-scale production using Java, C#, GoLang, or Python
Deep experience with Generative AI, including prompting strategies, RAG (Retrieval-Augmented Generation), fine-tuning, and agentic workflows
Strong ability to design distributed systems and microservices architectures for model serving
Demonstrated ability to lead technical discussions with non-technical stakeholders and drive consensus
Experience in the financial or fintech industry is a plus
Expert proficiency in Python (preferred) or other core languages (Java, Go, C#)
Deep knowledge of modern ML frameworks (PyTorch, TensorFlow, Scikit-learn) and LLM orchestration (LangChain, LlamaIndex, vLLM)
Advanced understanding of MLOps principles, feature stores, and model monitoring
Solid grasp of advanced probability, statistics, and linear algebra
Extensive hands-on experience with Kubernetes (deploying and managing clusters) and Cloud platforms (AWS preferred)
Strong command of CI/CD methodologies and Infrastructure as Code (Terraform)
Excellent data engineering skills (SQL, NoSQL, data lakes, and processing pipelines).

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AI/MLJavaC#GoLangPythonGenerative AIRAGMLOpsKubernetesSQL

Soft Skills

mentoringtechnical discussionsdriving consensusincident responsearchitectural refactoringengineering excellencecode reviews

Certifications

Bachelor's degree in Computer ScienceBachelor's degree in Software EngineeringMaster’s degree in AI/MLPhD in AI/ML