We are seeking a highly experienced AI/ML Architect to design, build, and scale enterprise-grade artificial intelligence and machine learning solutions. This role requires deep technical expertise, architectural leadership, and the ability to translate business requirements into robust AI/ML systems deployed at scale.
Visa & Work Authorization
OPT, CPT, H4-EAD,GC-EAD,L2-EAD
Key Responsibilities
Design end-to-end AI/ML architectures for production-ready solutions
Define data pipelines, feature engineering strategies, and model lifecycle management
Lead selection of ML frameworks, tools, and cloud services
Architect scalable model training, validation, deployment, and monitoring systems
Collaborate with Data Scientists, Engineers, Product, and Business stakeholders
Ensure AI solutions meet security, compliance, performance, and scalability standards
Drive best practices for MLOps, CI/CD, and model governance
Review model performance, bias, drift, and optimization strategies
Mentor ML engineers and data scientists
Required Skills & Qualifications
10+ years of software/data engineering experience
5+ years of hands-on experience in AI/ML architecture or advanced ML roles
Strong proficiency in Python and ML libraries (TensorFlow, PyTorch, Scikit-learn)
Experience designing large-scale ML systems
Expertise in data engineering, feature stores, and data lakes
Strong understanding of ML algorithms, NLP, CV, and Deep Learning
Experience with REST APIs and microservices
Hands-on experience with Docker, Kubernetes, and CI/CD pipelines
Cloud & MLOps Expertise
Cloud platforms: AWS (SageMaker), Azure ML, or Google Vertex AI
MLOps tools: MLflow, Kubeflow, Airflow, SageMaker Pipelines
Model deployment & monitoring
Experience with real-time and batch inference
Nice to Have
Experience with GenAI / LLMs (OpenAI, LangChain, Hugging Face)
Knowledge of RAG, vector databases (Pinecone, FAISS, Weaviate)
Experience with AI governance, fairness, and explainability (XAI)
Thank you,
Best Regards,
Shankar P (MBA)
President/CEO
Ph: +1 980 216 1425 (Call/whatsapp)
+91 855 504 9355 (Call/whatsapp)
Prior experience in regulated industries (Healthcare, Finance, Insurance)