AI with Python – Team Lead (Adverse Media & AI Solutions)

4 years

0 Lacs

Posted:2 weeks ago| Platform: Linkedin logo

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On-site

Job Type

Full Time

Job Description

AI with Python Team Lead on immediate basis

Candidates who can join immediately will be preferred.



Responsibilities

  • Lead a team of AI/ML engineers focused on building intelligent systems, particularly for

    Adverse Media detection and analysis

    .
  • Develop and deploy scalable AI/ML models using Python to analyze structured and unstructured media sources.
  • Build and optimize NLP pipelines for entity extraction, sentiment analysis, and news classification.
  • Architect and implement solutions that classify and score entities (individuals or companies) based on risk.
  • Translate compliance and regulatory requirements into AI-powered systems.
  • Independently handle project lifecycles from scoping and design to delivery and optimization.
  • Mentor junior team members and enforce best practices in AI development. Conduct regular performance reviews, knowledge sharing, and skill development sessions within the team.
  • Collaborate with cross-functional teams including Data Associates, and QA.
  • Document AI systems, model decisions, and ensure auditability of outputs.



Qualifications and Required Skills

  • Bachelor’s or Master’s in Computer Science with AI Specialization.
  • 4 years of hands-on experience in Python-based AI/ML development.
  • Strong experience in

    Adverse Media

    , KYC, AML, or regulatory intelligence.
  • Proficiency in NLP, text classification, named entity recognition (NER), topic modeling, and sentiment analysis.
  • Strong command of Python libraries like

    SpaCy, Transformers (Hugging Face), Scikit-learn, Pandas, NumPy

    , etc.
  • Experience handling multilingual media sources and identifying fake, biased, or non-reputable sources.
  • Familiarity with risk scoring methodologies, sanctions screening, or negative news processing.


Preferred Skills:

  • Experience working with third-party adverse media feeds or OSINT platforms.
  • Exposure to ML pipelines (MLflow, Airflow) and MLOps practices.
  • Familiarity with graph databases and link analysis for network detection (e.g., Neo4j, NetworkX).
  • Experience in working with Tor network data, onion sources, or dark web crawlers.



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