Lead AI Applied ML Engineer

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 Lead 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 be responsible for leading a team of 4 to 5 ML engineers.

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


* Lead a small group of ML engineers


* Lead and influence team with development and operational standards adherence


* 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


* 8+ years experience in cloud based applications with 4+ years of experience as an MLE


* 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...