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, and

threat analytics

Drive end-to-end deployment of ML and NLP models into production environments
Identify and implement AI use cases that deliver measurable business outcomes
Collaborate with cross-functional teams including Legal Tech, Cybersecurity, Product, and

Engineering

Manage and mentor a high-performing team of data scientists, ML engineers, and automation specialists
Evaluate and integrate third-party AI platforms and open-source tools for accelerated innovation
Ensure AI models comply with privacy, compliance, and ethical AI principles
Define and monitor key metrics to track model performance and automation ROI
Stay abreast of emerging trends in generative AI, LLMs, and cybersecurity Skills & Tools :
Proficiency in Python, R, or Scala for data science and automation scripting
Expertise in Machine Learning, Deep Learning, and NLP techniques
Hands-on experience with LLMs, Transformer models, and Vector Databases
Strong knowledge of Data Engineering pipelines ETL, data lakes, and real-time analytics
Familiarity with Cyber Threat Intelligence, anomaly detection, and event correlation
Experience with platforms like AWS SageMaker, Azure ML, Databricks, HuggingFace
Advanced use of TensorFlow, PyTorch, spaCy, Scikit-learn, or similar frameworks
Knowledge of containerization (Docker, Kubernetes) and CI/CD pipelines for ML Ops
Strong command of SQL, NoSQL, and big data tools (Spark, :
Bachelors or Masters in Computer Science, Data Science, AI, or a related field
10- 15 years of progressive experience in AI, Data Science, or Automation
Proven leadership of cross-functional technology teams in high-growth environments
Experience working in LegalTech, Cybersecurity, or related high-compliance industries preferred

(ref:hirist.tech)

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