Job ID: JOB_ID_4422
Job Summary:
We are seeking a highly experienced AI / ML Architect to design, develop, and deploy machine learning solutions that power key analytics and intelligent automation across our fintech ecosystem. This role focuses on delivering production-grade ML systems spanning classical ML, deep learning, and LLM-based applications, while ensuring scalability, reliability, and regulatory compliance. The architect will own end-to-end model development, from data preparation through deployment and monitoring, and will work closely with engineering, product, and data teams to implement impactful AI capabilities.
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 finetuned models.
- Deploy models to production using containerized 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.
- Collaborate with engineering, product, and data teams to implement impactful AI capabilities.
- Ensure scalability, reliability, and regulatory compliance of ML solutions.
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 GCP) and scalable inference pipelines.
- Strong understanding of model monitoring, drift detection, and retraining strategies.
- Ability to create clear model explanations and apply interpretability tools.
- 13+ years of overall experience.
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.
Special Requirements
Onsite. Fintech or other regulated industries with compliance requirements (SOC 2, PCI-DSS, FedRAMP) is a plus.
Compensation & Location
Salary: $150,000 – $200,000 per year (Estimated)
Location: Berkley Heights, NJ
Recruiter / Company – Contact Information
Recruiter / Employer: Envision Tech Solutions
Email: nkagautam.rit@gmail.com
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