AI/ML Engineer

Location: Hyderabad

Experience: 4–5 years in applied AI/ML

Employment Type: Full-time

About the Role

We are looking for a practical, hands-on AI/ML Engineer with 4–5 years of experience in building and deploying AI-powered solutions. The ideal candidate should have strong expertise in machine learning, deep learning, and NLP, with proven experience deploying models into production and integrating them with Node.js backends, Flutter apps, and React-based CRMs.

This role focuses on execution and rapid delivery of AI features such as recommendation engines, chatbots, semantic search, predictive analytics, and personalization, while ensuring scalability, cost optimization, and seamless integration with our AWS infrastructure.

Key Responsibilities

AI Features Development

Design and implement ML/DL models for recommendation systems, chatbots, semantic search, and predictive analytics.

Leverage API-based AI (OpenAI, Hugging Face, AWS Comprehend/Bedrock) for quick wins while building custom ML models where needed.

Model Training & Deployment

Train models using TensorFlow, PyTorch, Scikit-learn.

Deploy models via Flask/FastAPI or AWS SageMaker and expose them as REST APIs.

Optimize inference for low-latency production use cases (<300ms ideal).

MLOps & Monitoring

Implement pipelines for model training, deployment, and monitoring.

Set up basic CI/CD pipelines for AI workloads.

Monitor model performance and retrain as needed (drift detection).

Data Engineering

Work with structured data (MySQL) and unstructured data (S3, NoSQL).

Build data preprocessing and feature engineering workflows.

Collaboration

Work closely with backend/frontend teams to integrate AI features smoothly.

Translate business problems into ML solutions that align with company goals.

Required Skills & Experience

4–5 years of hands-on AI/ML experience (projects in NLP, recommendation systems, predictive analytics).

Strong knowledge of Python ML stack: PyTorch, TensorFlow, Scikit-learn.

Familiar with vector databases (FAISS, Pinecone, Weaviate) for semantic search.

Experience deploying models via APIs (Flask/FastAPI) and on AWS SageMaker.

Understanding of MLOps basics: versioning, monitoring, retraining workflows.

Good SQL skills (MySQL) + ability to work with cloud storage (AWS S3).

Strong collaboration & problem-solving skills.

Key KPIs for the Role

Model accuracy & relevance (precision, recall, F1-score).

Latency & scalability (serving thousands of requests reliably).

Time-to-market for AI feature delivery.

Integration efficiency with existing Node.js + Flutter stack.

Cost optimization of AI workloads on AWS.

Nice-to-Have Skills

Exposure to GenAI (LLMs, embeddings, RAG systems).

Familiarity with LangChain, LlamaIndex, or similar frameworks.

Knowledge of containerization (Docker, Kubernetes).

Experience with A/B testing & analytics for AI features.

Job Type: Full-time

Pay: From ₹600,000.00 per year

Work Location: In person