Design scalable AI/ML system architectures for enterprise applications.
Define end-to-end AI solution strategy and technical roadmap.
Select appropriate AI/ML models, frameworks, and cloud technologies.
Build secure, reliable, and high-performance AI platforms.
Develop and optimize machine learning models and pipelines.
Work on NLP, Computer Vision, Recommendation Systems, Predictive Analytics, and Generative AI use cases.
Design and implement LLM-based applications using OpenAI, Azure AI, Hugging Face, LangChain, etc.
Fine-tune and deploy AI models for production environments.
Design data pipelines for training and inference workloads.
Implement MLOps practices including model monitoring, versioning, CI/CD, and automation.
Ensure model scalability, performance optimization, and governance.
Architect AI solutions on AWS, Azure, or Google Cloud platforms.
Work with Docker, Kubernetes, APIs, and distributed systems.
Ensure data security, compliance, and scalability standards.
Strong experience in Python, TensorFlow, PyTorch, Scikit-learn.
Expertise in Machine Learning, Deep Learning, and Generative AI.
Experience with LLMs, RAG architecture, vector databases, and prompt engineering.
Knowledge of NLP, Computer Vision, and predictive modeling.
Experience with cloud platforms: AWS/Azure/GCP.
Familiarity with MLOps tools and deployment pipelines.
Experience with REST APIs, microservices, and containerization.
SQL/NoSQL databases
Vector Databases (Pinecone, FAISS, Weaviate, ChromaDB)
Git, CI/CD tools
Docker & Kubernetes
Bachelor’s/Master’s degree in Computer Science, AI, Data Science, or related field.
Relevant AI/ML certifications are a plus.
Experience working on enterprise AI transformation projects.
Strong understanding of AI ethics and responsible AI.
Excellent communication and leadership skills.
Ability to manage multiple projects and stakeholders.
Mentor AI/ML engineers and development teams.
Collaborate with business stakeholders to identify AI opportunities.
Participate in technical discussions, client meetings, and solution presentations.
Drive innovation and best practices within the organization.
