AI ML Engineer

Position: AI Engineer

Experience: 7+ Years

Job Location: Hyderabad

Work Mode: Work From Office (WFO) Key Responsibilities · Build, deploy, and maintain enterprise-scale AI/ML applications, ensuring they are production-ready, secure, and scalable. · Lead research and adoption of emerging AI/GenAI technologies, frameworks, and tools at the enterprise level. · Partner with product, engineering, and business teams to translate business challenges into robust AI/GenAI solutions. · Define end-to-end architecture for data pipelines, model development, deployment, monitoring, and retraining. · Promote and evangelize best practices in AI/ML system design, data governance, MLOps, and ethical/responsible AI. · Provide technical leadership and mentorship to AI/ML engineers and data scientists across business units. · Stay current with advances in AI/ML, GenAI, LLMs, and cloud-native architecture, and identify opportunities for adoption. · Define roadmaps and strategies that accelerate AI adoption and help the enterprise transition from descriptive to predictive and prescriptive analytics. · Collaborate with executives and cross-functional leaders to advocate AI/GenAI capabilities and drive enterprise-wide adoption. Required Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, or a related quantitative field. Experience · 7+ years of experience designing, building, and deploying AI/ML solutions including monitoring, scaling, and optimization in production at enterprise scale. · Hands-on expertise in cloud platforms (

GCP Vertex AI (preferred) , AWS SageMaker, or Azure ML) and cloud-native application design. · Proven experience

designing enterprise-grade application architectures for ML/GenAI workloads. · Strong programming skills in

Python, Java, or C++, and proficiency with

ML/AI frameworks (PyTorch, TensorFlow, Keras) . · Deep understanding of

ML/AI fundamentals : statistical modeling, architectures, representation, reasoning, and generative models (LLMs, diffusion). · Hands on experience in one or more

ML domains such as NLP, computer vision, or reinforcement learning. · Hands on experience in

MLOps practices and tools (MLflow, TFX, Kubeflow, CI/CD pipelines, model monitoring). · Strong knowledge of software architecture principles, cloud networking, and security best practices. · Excellent communication and leadership skills, with the ability to influence stakeholders and lead technical discussions across business and engineering teams. Preferred · Experience

leading research initiatives and driving enterprise-wide adoption of new technologies. · Experience with

cross-functional enterprise projects , including scoping, de-risking, and scaling AI/GenAI adoption. · Knowledge of data

governance, security frameworks ,

and regulatory compliance (GDPR, HIPAA, SOX). · Prior experience launching AI/GenAI solutions into production at scale using both open-source and vendor platforms. · Active involvement in the AI/ML community through publications, open-source contributions, or industry collaborations. 🔍

What You’ll Do: · Architect scalable, secure ML/GenAI applications · Lead end-to-end design across data, model, and deployment pipelines · Drive adoption of emerging AI/GenAI technologies · Champion MLOps, governance, and responsible AI practices · Mentor engineers and collaborate across business units 🎯

What We’re Looking For: · 7+ years in AI/ML architecture & production deployment · Hands-on with

Python, TensorFlow, PyTorch, Vertex AI, Terraform · Strong grasp of

LLMs, GenAI, MLOps, and cloud-native design · Proven leadership in enterprise AI strategy and execution