Greetings!
We are seeking an experienced Sr. Architect AI/ML
Job Title: Sr. Architect AI/ML
Duration: Long-term Contract
Locations: Dallas, TX / Chicago, IL / NYC, NY/ Berkeley Heights, NJ/ Toronto, Canada
Candidate must be willing to travel (75-80%)
Level: Senior (10-12+ years' experience)
Key Responsibilities
· Build, train, and evaluate ML and deep learning models for classification, prediction, anomaly detection, and NLP use cases.
· Implement scalable ML pipelines for data processing, feature engineering, and inference.
· Develop and integrate LLM-based capabilities, including embeddings, RAG workflows, and fine-tuned models.
· Deploy models to production using containerised and cloud‑native infrastructures (Docker, Kubernetes, Azure/AWS).
· Implement MLOps practices including CI/CD integration, experiment tracking, model registries, and monitoring.
· Ensure high-quality data pipelines and automate preprocessing for structured and unstructured data.
· Apply model explainability (SHAP, LIME) and Responsible AI principles to ensure transparency and safe use.
Required Qualifications
· Deep hands-on experience building and deploying ML models (supervised, unsupervised, deep learning, NLP).
· Strong Python skills (NumPy, Pandas, Scikit‑learn, PyTorch or TensorFlow).
· Experience with SQL and data‑engineering workflows (Spark or Airflow).
· Practical experience with LLMs, vector databases, embeddings, and RAG systems.
· Familiarity with production ML deployment using Docker, Kubernetes, CI/CD pipelines, and GPU acceleration.
· Experience with cloud AI tooling (Azure, AWS, or Google Cloud Platform) and scalable inference pipelines.
· Strong understanding of model monitoring, drift detection, and retraining strategies.
· Ability to create clear model explanations and apply interpretability tools.
Nice to Have
· Experience in fintech or other regulated industries with compliance requirements (SOC 2, PCI-DSS, FedRAMP)
· Background with LangChain, multi-agent frameworks, or advanced vector search architectures.
· Experience implementing governance, safety guardrails, or Responsible AI frameworks.
Daniel Sapna
US IT Lead Recruiter
✉️
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