Senior Applied AI ML Engineer
Jersey City, NJ, United States
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll work on
Full postingYou will work at the intersection of Risk modeling, and NLP architectures, inference systems, regulatory explainability and auditability.
From the employer’s posting
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. We are building a next generation, AI-driven Global Financial Crimes Strategic Monitoring solutions that detects AML risk, regulatory violations, transactions risk, misconduct, and behavioral anomalies. As a Senior MLE on the team, you will design, build and productionize Risk typologies/ features, data pipelines, supervised and unsupervised ML models, and LLM risk explainability that operate at scale across high-volume banking transactions. You will work at the intersection of Risk modeling, and NLP architectures, inference systems, regulatory explainability and auditability. This is a hands-on senior role requiring deep expertise in ML operations, LLM integration, scalable ML systems and production grade engineering discipline. This role offers a chance to collaborate with product managers, architects, data science and operational teams, while also engaging in software engineering communities to explore new and emerging technologies. Job responsibilities
Education & alternatives
Required qualifications, capabilities, and skills - PhD in Computer Science, Data Science, AI or similar fields with with 2+ years of experience Or MS in Computer Science, Data Science, AI or similar fields with with 4+ years of experience or BS in Computer Science, Data Science, AI or similar fields with with 8+ years of experience - Strong foundation in Information Retrieval, Natural Language Processing and
Tools in this posting
- Python
- SQL
- AWS
- Databricks
- NoSQL
- Huggingface
- PyTorch
- scikit-learn
- TensorFlow
- Java
- Transformers
Source — Tool mentions in context
- Strong foundation in Information Retrieval, Natural Language Processing and - Expert in functional programming and JVM based languages- Python, Java - Experience integrating models into cloud scale, microservices based architectures
- Hands-on experience with AWS services, and Databricks - Experience/Exposure to SQL, NoSQL and messaging stacks - Excellent verbal & written communication skills and bias for action and ownership in early stage env
- Experience with one or more ML frameworks - Pytorch, Tensorflow, SciKit, NeMo, Huggingface Transformers - Hands-on experience with AWS services, and Databricks - Experience/Exposure to SQL, NoSQL and messaging stacks
- Design and build feedback and accuracy measurement techniques for AI solutions - Design, build, and operate risk features data pipelines in Databricks - Conduct monitoring to detect and alert drift, bias and performance degradation
Preferred qualifications, capabilities, and skills - Knowledge of Firm Databricks CDAO platform is good to have - Experience with building production-grade ML pipelines, APIs and MLOps frameworks
- Experience integrating models into cloud scale, microservices based architectures - Experience with one or more ML frameworks - Pytorch, Tensorflow, SciKit, NeMo, Huggingface Transformers - Hands-on experience with AWS services, and Databricks
Job description
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. We are building a next generation, AI-driven Global Financial Crimes Strategic Monitoring solutions that detects AML risk, regulatory violations, transactions risk, misconduct, and behavioral anomalies.
As a Senior MLE on the team, you will design, build and productionize Risk typologies/ features, data pipelines, supervised and unsupervised ML models, and LLM risk explainability that operate at scale across high-volume banking transactions. You will work at the intersection of Risk modeling, and NLP architectures, inference systems, regulatory explainability and auditability. This is a hands-on senior role requiring deep expertise in ML operations, LLM integration, scalable ML systems and production grade engineering discipline. This role offers a chance to collaborate with product managers, architects, data science and operational teams, while also engaging in software engineering communities to explore new and emerging technologies.
Job responsibilities
- Design, build, collaborate, and operate ML models
- Design, build and operate LLM solutions
- Design and build feedback and accuracy measurement techniques for AI solutions
- Design, build, and operate risk features data pipelines in Databricks
- Conduct monitoring to detect and alert drift, bias and performance degradation
- Work closely within a cross-functional team following agile based processes
- Collaborate closely with Product Managers, SRE and Compliance SMEs to continuously improve product adoption, reliability and outcomes
Required qualifications, capabilities, and skills
- PhD in Computer Science, Data Science, AI or similar fields with with 2+ years of experience Or MS in Computer Science, Data Science, AI or similar fields with with 4+ years of experience or BS in Computer Science, Data Science, AI or similar fields with with 8+ years of experience
- Strong foundation in Information Retrieval, Natural Language Processing and
- Expert in functional programming and JVM based languages- Python, Java
- Experience integrating models into cloud scale, microservices based architectures
- Experience with one or more ML frameworks - Pytorch, Tensorflow, SciKit, NeMo, Huggingface Transformers
- Hands-on experience with AWS services, and Databricks
- Experience/Exposure to SQL, NoSQL and messaging stacks
- Excellent verbal & written communication skills and bias for action and ownership in early stage env
- Operational experience in supporting an enterprise grade ML application in production
Preferred qualifications, capabilities, and skills
- Knowledge of Firm Databricks CDAO platform is good to have
- Experience with building production-grade ML pipelines, APIs and MLOps frameworks
- Experience in AML, monitoring and investigations systems is a strong plus
- Good understanding of data engineering concepts, distributed systems, and scalable architectures
- Familiarity with vector databases, model serving, and inference optimization is a plus
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
Complete your application on jpmc.fa.oraclecloud.com. The employer’s form will show what is required.
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Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Jersey City, NJ, United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Sep 2, 2026
- Recorded sightings
- 44
- Last seen by us
- Oct 8, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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