Aziro - AI/ML Engineer - Model Development & Deployment

:We are seeking a skilled AI/ML Engineer who has good experience in design, develop, and deploy scalable machine learning and AI solutions.

involves working on real-world problems using advanced ML, deep learning, and Generative AI techniques, while ensuring production-grade reliability, performance, and compliance.

:Model Development & Deployment :- Design, develop, and optimize machine learning and deep learning models.- Work on supervised, unsupervised, and reinforcement learning use cases.- Deploy models into production using scalable APIs and microservices.- Optimize models for performance, latency, and cost.Generative AI & LLMs :- Build and integrate solutions using LLMs (e.g., OpenAI, open-source models).- Implement RAG (Retrieval-Augmented Generation) pipelines.- Fine-tune models and design prompt engineering strategies.- Develop AI agents and workflow automation systems.Data Engineering & Processing :- Collect, clean, and preprocess structured and unstructured data.- Build feature engineering pipelines.- Work with large-scale datasets and distributed systems.Collaboration & Stakeholder Interaction :- Work closely with product managers, engineers, and business stakeholders.- Translate business

into technical AI solutions.- Present findings and model performance to leadership.

:Core AI/ML Skills :- Strong experience in machine learning algorithms and statistical modeling.- Hands-on experience with deep learning frameworks (TensorFlow / PyTorch).- Experience with NLP, Computer Vision, or Time-Series models.Generative AI :- Experience with LLMs, prompt engineering, and RAG architectures.- Familiarity with frameworks like LangChain, LlamaIndex, or LangGraph.- Understanding of embeddings, vector databases (FAISS, Pinecone, etc.).Programming & Tools :- Strong programming in Python.- Experience with libraries: scikit-learn, pandas, NumPy, Hugging Face.- Knowledge of REST APIs, FastAPI/Flask.- Experience with Docker, Kubernetes (preferred).Cloud & Platforms :- Hands-on experience with AWS / GCP / Azure.- Familiarity with ML services like SageMaker, Vertex AI, or Azure ML.