Principal AI Architect - MLOps/NLP

10 years

0 Lacs

Posted:5 days ago| Platform: Linkedin logo

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Job Type

Full Time

Job Description

Employment Type : Full-Time.Relevant Experience : 10+ years

Key Responsibilities

  • AI-First Leadership : Define and drive DB Techs AI vision, re-architect systems into AI-native services,
integrate tools like Cursor/Relevance AI, and mentor teams in prompt engineering, Vibe Coding, and
autonomous testing.
  • Architect Scalable AI Systems : Design enterprise-scale AI/ML platforms that support real-time analytics,
model deployment, and continuous learning in financial products and services.
  • Lead Solution Design : Collaborate with data scientists, engineers, and business stakeholders to build and
integrate AI models into core platforms (e.g., risk engines, transaction monitoring, robo-advisors).
  • Ensure Governance & Compliance : Implement AI systems that meet financial regulations (e.g., GDPR,
PCI-DSS, FFIEC, Basel III) and uphold fairness, explainability, and accountability.
  • Drive MLOps Strategy : Establish and maintain robust pipelines for data ingestion, feature engineering,
model training, testing, deployment, and monitoring.
  • Team Leadership : Provide technical leadership to data science and engineering teams. Promote best
practices in AI ethics, version control, and reproducibility.
  • Identify areas where AI can deliver business value and lead the development of proofs-of-concept
(PoCs).
  • Evaluate the feasibility, cost, and impact of new AI initiatives.
  • Define best practices\standards for model lifecycle management (training, validation, deployment,
monitoring)- Evaluate Emerging Technologies : Stay ahead of developments in generative AI, LLMs, and FinTech-specific AI tools, and drive their strategic adoption.

Technical Skills And Tools

ML & AI Frameworks :

  • Scikit-learn, XGBoost, LightGBM, TensorFlow, PyTorch
  • Hugging Face Transformers, OpenAI APIs (for generative and NLP use cases)

MLOps & Deployment

  • MLflow, Kubeflow, Seldon Core, KServe, Weights & Biases
  • FastAPI, gRPC, Docker, Kubernetes, Airflow

FinTech-Specific Applications

  • Credit scoring models, Fraud detection algorithms
  • Time series forecasting, NLP for financial documents/chatbots
  • Algorithmic trading models, AML (Anti-Money Laundering) systems

Cloud & Data Platforms

  • AWS SageMaker, Azure ML, Google Vertex AI
  • Databricks, Snowflake, Kafka, BigQuery, Delta Lake

Monitoring & Explainability

  • SHAP, LIME, Alibi, Evidently AI, Arize AI
  • IBM AIX 360, Fiddler AI

Required Qualifications

  • Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related field;
PhD is a plus.
  • 10+ years of experience in AI/ML, including 35 years in architectural roles within FinTech or other highly
regulated industries.
  • Proven track record of building and deploying AI solutions in areas such as fraud detection, credit risk
modeling, or portfolio optimization.

Strong Hands-on Expertise In

  • Machine Learning : scikit-learn, XGBoost, LightGBM, TensorFlow, PyTorch
  • Data Engineering : Spark, Kafka, Airflow, SQL/NoSQL (MongoDB, Neo4j)
  • Cloud & MLOps : AWS, GCP, or Azure; Docker, Kubernetes, MLflow, SageMaker, Vertex AI
  • Programming : Python (primary); Java or Scala (optional)
  • Solid software engineering background with experience integrating ML models into scalable production
systems.
  • Excellent communication skills with the ability to influence both technical and non-technical stakeholders.
(ref:hirist.tech)

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