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