Job Title: AI Architect
Company: Confidential—details will be shared with shortlisted candidates.
Locations: Bangalore, Pune, Chennai, Hyderabad
Experience: 12 to 15 years
Job Summary:
We are seeking a highly skilled AI Architect with extensive experience in designing, developing, and deploying AI/ML solutions. The ideal candidate will have deep expertise in AI/ML technologies, cloud platforms, big data, and MLOps, along with a strong understanding of AI security and compliance.
Key Responsibilities:
Architect, design, and implement AI/ML solutions for enterprise applications.
Lead AI-driven innovation initiatives and provide technical leadership.
Develop and deploy ML models using frameworks like TensorFlow, PyTorch, and Scikit-learn.
Leverage cloud platforms such as AWS SageMaker, Azure ML, and Google Vertex AI for scalable AI solutions.
Design and implement MLOps pipelines using MLflow, Kubeflow, and Airflow.
Work with big data technologies such as Hadoop, Spark, Kafka, and databases like SQL, NoSQL, Snowflake, and Delta Lake.
Ensure AI model security, interpretability, and compliance with ethical AI guidelines.
Collaborate with cross-functional teams to integrate AI capabilities into business applications.
Must-Have Skills:
AI/ML Expertise: Strong proficiency in Python, TensorFlow, PyTorch, Scikit-learn, OpenAI APIs, and LangChain.
Cloud & DevOps: Experience with AWS SageMaker, Azure ML, Google Vertex AI, Docker, Kubernetes, and CI/CD.
Big Data & Databases: Expertise in Hadoop, Spark, Kafka, SQL, NoSQL, Snowflake, and Delta Lake.
MLOps & AI Deployment: Hands-on experience with MLflow, Kubeflow, Airflow, FastAPI, Flask, and Streamlit.
AI Security & Compliance: Deep understanding of model interpretability, AI ethics, adversarial attacks, and governance.
Good-to-Have Skills:
Experience with Generative AI & LLMs (GPT, LLaMA, Stable Diffusion, DALL·E, etc.).
Knowledge of Edge AI & AI-powered IoT solutions.
Experience with AutoML tools like Google AutoML, H2O.ai, and DataRobot.
Familiarity with quantization, pruning, and optimization techniques for AI model efficiency.
Hands-on experience with vector databases (FAISS, Pinecone, Weaviate) and Retrieval-Augmented Generation (RAG) architectures.
Knowledge of Reinforcement Learning (RL), Bayesian Methods, and Time-Series Forecasting.
Experience with Graph Neural Networks (GNNs) and AI applications in cybersecurity.
Exposure to Blockchain & AI integration for secure and decentralized AI applications.
Familiarity with natural language processing (NLP) frameworks like Hugging Face Transformers.
To Apply -
Interested candidates need to send latest resume through WhatsApp to 8147221509 (click https://wa.me/+918147221509)
Any Query ? WhatsApp 8147221509
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