- Role Overview We are seeking a skilled AI/ML Engineer with 4+ years of experience to 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 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 costGenerative AI LLMs Build and integrate solutions using LLMs (eg, OpenAI, open-source models) Implement RAG (Retrieval-Augmented Generation) pipelines Fine-tune models and design prompt engineering strategies Develop AI agents and workflow automation systemsData Engineering Processing Collect, clean, and preprocess structured and unstructured data Build feature engineering pipelines Work with large-scale datasets and distributed systemsMLOps Lifecycle Management Implement CI/CD pipelines for ML models Monitor model performance, drift, and retraining needs Use tools for experiment tracking, versioning, and model governance Collaboration Stakeholder Interaction
- Work closely with product managers, engineers, and business stakeholders Translate business requirements into technical AI solutions Present findings and model performance to leadershipRequired Skills 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 modelsGenerativeAI 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 Qualifications Bachelor s/Master s 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 Positive communication and presentation skills Ownership mindset and attention to detailNice 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 Location: Banglore Experience: 6 8 Years

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Python AI/ML Engineer (Pune)
🏢 Aziro
📍 Pune