Lead AI Engineer

Number of Openings

Location

1

Bhopal, Madhya Pradesh (On-site, Full-Time)

Reports To

Project Manager / Delivery Head

8+ Years

Full-Time, On-site

Experience Required

Employment Type

Domain

AI/ML, Financial Technology

Role Overview

We are looking for a hands-on Lead AI Engineer to anchor the technical delivery of a large-scale enterprise

AI/ML programme in the financial domain. This role owns end-to-end technical quality from solution architecture and data pipelines through to model deployment and FMS integration. The Lead bridges strategy and execution: guiding a team of data scientists, MLOps, RPA, and full-stack engineers; conducting design and code reviews; and representing the technical team in all formal milestone reviews and client sign-offs.

Key Responsibilities

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Define and own the end-to-end solution architecture: AI/ML platform, MLOps pipeline, data infrastructure (Data Lake/DW), RPA orchestration, and enterprise application integration layer.

Lead the technical delivery of multiple concurrent AI/ML workstreams spanning forecasting, anomaly detection, risk scoring, document AI (OCR), classification, and conversational AI (chatbot).

Conduct hands-on code reviews, model validation reviews, and API design reviews across all workstreams.

Lead technical requirement workshops with enterprise stakeholders; prepare and present architecture and design documents for formal sign-offs.

Resolve cross-team dependencies between data engineering, MLOps, application, and integration workstreams.

Define and enforce coding standards, SDLC documentation quality, and test coverage thresholds across the team.

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Mentor and guide Senior Data Scientists, MLOps, Full-Stack, RPA, and Data Engineering team members.

Manage technical risks: data quality gaps,



model accuracy issues, API instability, and security compliance.

Ensure all source code, model artefacts, and documentation are properly versioned and maintained in

SCM throughout delivery.

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Lead final handover, code walkthrough, and knowledge transfer at project close.

Required Skills & Experience

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8+ years of overall software/AI engineering experience; minimum 3-4 years in end-to-end AI/ML project delivery.

Strong hands-on Python proficiency; deep understanding of ML fundamentals across supervised,

unsupervised, time-series, anomaly detection, and NLP domains.

Proven track record of delivering production-grade ML systems not just prototypes or PoCs.

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Solid data engineering background: ETL pipelines, Apache Spark, Airflow, Data Lake/DW architecture.

MLOps tooling experience: MLflow, Kubeflow or equivalent; CI/CD for ML models.

Familiarity with RPA platforms (UiPath / Robot Framework) and AI document processing pipelines.

Microservices architecture, REST API design, Docker/Kubernetes.

Experience with formal SDLC deliverables (SRS, HLD, LLD) and milestone-based delivery in large enterprise or government/PSU programmes.

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Solid communication skills ability to present technical content clearly to non-technical stakeholders.

Preferred / Good to Have

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Prior experience in financial domain AI/ML: transaction monitoring, forecasting, vendor/credit risk scoring.

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Experience with open-source LLMs and conversational AI platforms (Rasa, LLaMA-based models).

Knowledge of data security standards and IT governance in government or regulated enterprise environments.

Qualifications

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B.Tech / M.Tech / M.Sc in Computer Science, AI/ML, Data Science, or related field.

Relevant certifications in ML, MLOps, or cloud infrastructure are a plus.

📌 Lead Ai engineer (Bhopal)
🏢 Bellcom Technologies
📍 Bhopal