Senior Applied AI ML Engineer

Salary: $61,000 - 101,000 per year Requirements:

• We require a PhD in Computer Science, Data Science, AI, or a related discipline with 2+ years of experience, or an MS in one of these fields with 4+ years of experience, or a BS in one of these fields with 8+ years of experience.
• We need a strong foundation in information retrieval and natural language processing.
• We expect expertise in Python, Java, functional programming, and JVM-based languages.
• We look for experience integrating models into cloud-scale, microservices-based architectures.
• We value hands-on experience with one or more ML frameworks such as PyTorch, TensorFlow, SciKit, NeMo, or Hugging Face Transformers.
• We require practical experience with AWS services and Databricks.
• We expect exposure to SQL, NoSQL, and messaging stacks.
• We need excellent verbal and written communication skills, along with a strong bias for action and ownership in early-stage environments.
• We require operational experience supporting an enterprise-grade ML application in production.
• Preferred: experience with the firms Databricks CDAO platform.
• Preferred: experience building production-grade ML pipelines, APIs, and MLOps frameworks.
• Preferred: experience in AML, monitoring, and investigations systems.
• Preferred: solid understanding of data engineering concepts, distributed systems, and scalable architectures.
• Preferred: familiarity with vector databases, model serving, and inference optimization.

• We design, build, collaborate on, and operate ML models.
• We design, build, and run LLM solutions.
• We create feedback and accuracy measurement methods for AI solutions.
• We design, build, and operate risk feature data pipelines in Databricks.
• We monitor for drift, bias, and performance degradation, and alert on issues.
• We work closely with a cross-functional team using agile processes.
• We collaborate with Product Managers, SRE, and Compliance SMEs to improve product adoption, reliability, and outcomes.

• AI
• AWS
• Cloud
• Databricks
• Support
• JVM
• Java
• LLM
• Marketing
• MLOps
• Model Serving
• NoSQL
• PyTorch
• Python
• SQL
• TensorFlow
• microservices

More:

We are partnering with hackajob and J.P. Morgan on an exciting senior software engineering opportunity focused on next-generation, AI-driven Global Financial Crimes Strategic Monitoring solutions that detect AML risk, regulatory violations, transaction risk, misconduct, and behavioral anomalies. In this hands-on role, we work at the intersection of risk modeling, NLP architectures, inference systems, regulatory explainability, and auditability, while collaborating with product managers, architects, data science, operational teams, and engineering communities. We offer a competitive total rewards package, eligibility-based benefits and programs, and a broad range of support including health care coverage, wellness centers, retirement savings, backup childcare, tuition reimbursement, mental health support, and financial coaching. We are committed to diversity, inclusion, and equal opportunity. Our Corporate Functions team spans finance, risk, human resources, and marketing, helping set our businesses, clients, customers, and employees up for success.

last updated 40 week of 2026