Job Title : Director AI Automation & Data Sciences
Experience Required : 10- 15 Years
Industry : Legal Technology / Cybersecurity / Data Science
Department : Technology & Innovation
About The Role :
We are seeking an exceptional Director AI Automation & Data Sciences to lead the innovation engine behind our Managed Document Review and Cyber Incident Response services.
This is a senior leadership role where youll leverage advanced AI and data science to drive automation, scalability, and differentiation in service delivery.
If you are a visionary leader who thrives at the intersection of technology and operations, this is your opportunity to make a global Join Us :
- Cutting-edge AI & Data Science technologies at your fingertips
- Globally recognized Cyber Incident Response Team
- Prestigious clientele of Fortune 500 companies and industry leaders
- Award-winning, inspirational workspaces
- Transparent, inclusive, and growth-driven culture
- Industry-best compensation that recognizes Responsibilities (KRAs) :
- Lead and scale AI & data science initiatives across Document Review and Incident Response
programs
Architect intelligent automation workflows to streamline legal review, anomaly detection, andthreat analytics
Drive end-to-end deployment of ML and NLP models into production environmentsIdentify and implement AI use cases that deliver measurable business outcomesCollaborate with cross-functional teams including Legal Tech, Cybersecurity, Product, andEngineering
Manage and mentor a high-performing team of data scientists, ML engineers, and automation specialistsEvaluate and integrate third-party AI platforms and open-source tools for accelerated innovationEnsure AI models comply with privacy, compliance, and ethical AI principlesDefine and monitor key metrics to track model performance and automation ROIStay abreast of emerging trends in generative AI, LLMs, and cybersecurity Skills & Tools :Proficiency in Python, R, or Scala for data science and automation scriptingExpertise in Machine Learning, Deep Learning, and NLP techniquesHands-on experience with LLMs, Transformer models, and Vector DatabasesStrong knowledge of Data Engineering pipelines ETL, data lakes, and real-time analyticsFamiliarity with Cyber Threat Intelligence, anomaly detection, and event correlationExperience with platforms like AWS SageMaker, Azure ML, Databricks, HuggingFaceAdvanced use of TensorFlow, PyTorch, spaCy, Scikit-learn, or similar frameworksKnowledge of containerization (Docker, Kubernetes) and CI / CD pipelines for ML OpsStrong command of SQL, NoSQL, and big data tools (Spark, :Bachelors or Masters in Computer Science, Data Science, AI, or a related field10- 15 years of progressive experience in AI, Data Science, or AutomationProven leadership of cross-functional technology teams in high-growth environmentsExperience working in LegalTech, Cybersecurity, or related high-compliance industries preferredref : hirist.tech)