Job Description

Job Description:

Role Overview

We are seeking a high-calibreAI Engineer - Leadto spearhead end-to-end design, deployment, and lifecycle management of AI/ML solutions. The role is critical to driving automation, predictive analytics, and data-driven intelligence across business use cases, ensuring scalable and compliant AI deployments.

Key Responsibilities

Design, develop, and deployAI/ML modelsaligned to defined business use cases.
Performdata preprocessing, feature engineering, and model trainingon structured and unstructured datasets.
Integrate AI models into enterprise applications viaAPIs and microservices.
Monitor, optimise, and continuously enhancemodel performance in productionenvironments.
ImplementMLOps frameworksto ensure reliability, version control, and governance.
Ensure strict adherence todata privacy, information security, and ethical AI guidelines.
Collaborate with cross-functional stakeholders, including Product, Engineering, RPA, and Data teams, to drive solution adoption.
Provide technical leadership and mentor junior team members on AI best practices.

Core Competencies

Strong expertise inPython, ML frameworks (TensorFlow / PyTorch / Scikit-Learn)
Experience inAPI integration, model deployment, and production monitoring
Hands-on exposure tocloud AI platforms (Azure / IBM / equivalent)
Sound understanding ofAI governance, data security, and compliance standards
Strategic mindset with the ability to translate business problems into AI solutions.

Education

BE / BTech / MTech / MSc (IT, Mathematics, Physics) / MCA

Certifications ( Highly Preferred)

Microsoft Certified: Azure AI Fundamentals
Microsoft Certified: Artificial Intelligence Engineer
IBM AI Engineering Professional Certificate
IBM Data Science Professional Certificate
IBM Data Analyst Professional Certificate
CertNexus Certified Artificial Intelligence Practitioner
Certified Artificial Intelligence Engineer - United States Artificial Intelligence Institute