AI/ML Engineer

Hiring: Senior AI/ML Engineer | Hyderabad

We are looking for an experienced Senior AI/ML Engineer to drive the development of enterprise-grade AI solutions, Generative AI applications, intelligent AI agents, and scalable machine learning platforms.

📍 Location: Hyderabad

💼 Experience: 7+ Years

⏳ Notice Period: 30 Days or Currently Serving Notice Period

Key Technical Skills

• Programming & Machine Learning: Python, PyTorch, TensorFlow, Statistical Modeling, Predictive Analytics, Deep Learning.
• Generative AI & LLMs: Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI, AI Agents, LangChain, Semantic Kernel.
• Vector Search & Data Engineering: Vector Databases, Semantic Search, Knowledge Repositories, Real-Time Data Pipelines, Data Orchestration.
• Cloud AI Platforms: Microsoft Azure AI Services, Azure AI, AWS AI/ML Services, Cloud-Native Architecture.
• MLOps & Deployment: MLOps, CI/CD Pipelines, Model Deployment, Model Monitoring, Model Versioning, Docker, Kubernetes.
• Advanced Machine Learning: Supervised and Unsupervised Learning, Regression, Classification, Clustering, Random Forest, XGBoost, LightGBM, Forecasting and Neural Networks.
• AI Security & Governance: Responsible AI, Model Performance Optimization, Data Privacy, AI Risk Mitigation and Secure AI Architecture.

Key Responsibilities

• Design, develop and deploy scalable AI/ML solutions, GenAI applications, RAG architectures and agentic AI workflows.
• Build and optimize end-to-end machine learning pipelines, including model training, deployment, monitoring and lifecycle management.
• Develop real-time data pipelines, vector search capabilities and AI-powered enterprise applications.
• Optimize AI workloads across Azure and AWS for scalability, performance, security and cost efficiency.
• Implement AI governance, data protection and responsible AI practices.
• Collaborate with business and technology teams to translate business challenges into impactful AI solutions.

Preferred Background

Experience in financial services, logistics, operations or other regulated industries is an advantage. Relevant Azure AI or AWS Machine Learning certifications are a plus.