Job Description :We are seeking a skilled AI/ML Engineer who has good experience in design, develop, and deploy scalable machine learning and AI solutions. The role involves working on real-world problems using advanced ML, deep learning, and Generative AI techniques, while ensuring production-grade reliability, performance, and compliance.Key Responsibilities :Model Development u0026 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 u0026 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 u0026 Processing :- Collect, clean, and preprocess structured and unstructured data.- Build feature engineering pipelines.- Work with large-scale datasets and distributed systems.Collaboration u0026 Stakeholder Interaction :- Work closely with product managers, engineers,



and business stakeholders.- Translate business requirements into technical AI solutions.- Present findings and model performance to leadership.Required Skills :Core AI/ML Skills :- Robust 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 u0026 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 u0026 Platforms :- Hands-on experience with AWS / GCP / Azure.- Familiarity with ML services like SageMaker, Vertex AI, or Azure ML.Qualifications :- Bachelors/Masters degree in Computer Science, AI, Data Science, or related field.- Relevant certifications in AI/ML or Cloud (preferred).Preferred Experience :- Experience in BFSI / FinTech / Healthcare domains.- Working with sensitive or regulated data environments.- Exposure to real-time AI systems and high-scale deployments.Key Competencies :- Strong problem-solving and analytical thinking.- Ability to work independently and in cross-functional teams.- Good communication and presentation skills.- Ownership mindset and attention to detail.Nice to Have :- Experience with AI agents / autonomous systems.- Knowledge of model explainability (SHAP, LIME).- Familiarity with data privacy, compliance, and security standards.- Experience in building AI platforms or internal tools. (ref:hirist.tech) .

📌 Aziro - AI/ML Engineer - Model Development u0026 Deployment (Bengaluru)
🏢 AZIRO TECHNOLOGIES INDIA PRIVATE
📍 Bengaluru