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Minfy Technologies - Principal Architect - AI/ML

Minfy Technologies
15 - 20 Years
Multiple Locations

Posted on: 29/05/2026

Job Description

About the Role :


We are seeking an experienced AI/ML Architect to lead the design and implementation of enterprise-scale AI, Machine Learning, and Generative AI solutions. This role will drive end-to-end AI architecture, covering data engineering, model development, MLOps, deployment frameworks, AI governance, and production-scale AI systems.


The ideal candidate will possess deep expertise across traditional machine learning, large language models (LLMs), retrieval-augmented generation (RAG), AI agents, cloud-native ML platforms, and modern MLOps practices. You will collaborate closely with engineering, product, and business stakeholders to architect scalable AI platforms and deliver innovative AI-powered business solutions.


Skills & Experience :


- 14+ years of overall technology experience with significant experience in AI/ML architecture


- Strong expertise in Machine Learning algorithms and statistical modeling


- Hands-on experience in Data Engineering, ETL/ELT pipelines, and large-scale data processing


- Strong knowledge of data preprocessing, feature engineering, data validation, and model optimization


- Experience designing and implementing MLOps frameworks including MLFlow, Kubeflow, DVC, CI/CD pipelines, model monitoring, and model lifecycle management


- Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, Scikit-Learn, Keras, XGBoost, and LightGBM


- Experience with Databricks, Snowflake, and cloud-native data platforms


- Hands-on expertise with AWS SageMaker, Azure Machine Learning, Google AI Platform, AWS Bedrock, and related AI services


- Strong understanding of LLMs including OpenAI, Gemini, BERT, LLaMA, and enterprise GenAI solutions


- Experience building RAG pipelines, Vector Database solutions, and AI Agent architectures


- Knowledge of AI governance, security, compliance, and responsible AI practices


- Experience working with Kubernetes, Docker, Apache Airflow, and cloud-native deployment architectures


- Exposure to Salesforce, SAP, and enterprise system integrations is preferred


- Strong stakeholder management, technical leadership, and solution architecture skills

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