Job Title : AI Engineer

Location: India,Remote

Duration: 6 months contracct with possible extension

Role Description:

- The AI Engineer is responsible for the engineering execution and delivery of the machine learning systems behind Simplifisign's verification platform. This role owns the models and services that power identity and entity verification across KYC, KYB, and KYV workflows, and is accountable for their accuracy, latency, and auditability in production.
- The AI Engineer partners closely with product and compliance stakeholders to translate verification requirements into technical solutions, and works alongside the platform engineering team to integrate model inference directly into live customer workflows. This role plays a key part in turning verification policy into executable pipelines and ensuring those pipelines hold up under regulatory scrutiny.
- Establish the evaluation and monitoring layer for every deployed model, including offline evaluation harnesses, drift detection, shadow deployments, and production metric alignment
- Qualifications

- University degree/diploma in Computer Science, Engineering, or equivalent practical experience
- 3+ years of software, data, or ML engineering experience, with at least 3 years shipping models that other production systems depend on
- Solid Python and PyTorch, plus the ability to write and own service code rather than handing off a model artifact
- Hands on experience with transformer based document understanding, such as LayoutLM, Donut,



or comparable architectures, and with classical OCR pipelines
- Working knowledge of Go, gRPC service design, and Postgres schema and query performance
- Demonstrated experience with imbalanced classification, calibration, and threshold selection under real business cost constraints
- Familiarity with model deployment, versioning, and monitoring in a containerized environment

Preferred qualifications:

- Graph modelling and entity resolution experience, ideally with Neo4j or a comparable graph database
- Background in fintech, Reg Tech, identity verification, or another regulated domain
- Exposure to AML, sanctions screening, or adverse media matching
- Experience with retrieval augmented generation or LLM based extraction where deterministic parsing is insufficient

Mindtris, a minority women-owned enterprise, is at the forefront of digital transformation, technology excellence, and business growth solutions. Specializing in talent mobilization and innovation, we are dedicated to enhancing customer experiences across diverse sectors such as Information Technology, Telecommunications, Healthcare, Engineering, and the Public sector. With a focus on deploying top-tier talent and fostering innovation, we empower businesses to thrive and excel in a rapidly evolving digital landscape, helping them reach new heights of success.

Mindtris is committed to fostering workforce diversity and is proud to be an equal opportunity employer.

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